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This module explores some of the foundational concepts around Learning Analytics.<\/p>\n\n

By the end of this module, we hope that you will be able to:<\/p>\n\n

- define Learning Analytics;
\n- differentiate Learning Analytics and Academic Analytics;
\n- align your work in analysis of learner data with your philosophical\/epistomological view of learning, your pedagogical approach to course design and delivery, and your development of assessments to support learner success;
\n- identify different methodological approaches to Learning Analytics, and consider how your current and future work in analysis of learner data is informed by these approaches;
\n- evaluate how your theories of assessment relate to and inform your work in Learning Analytics; and
\n- recognize the ethical implications of measurement, collection, analysis and reporting of data about learners.<\/p>\n\n

The content of this module is adapted from: Knight and Shum (2017). Theory and Learning Analytics. Handbook of Learning Analytics. Society for Learning Analytics Research (SoLAR).<\/strong><\/p>\n"},"chapters":[{"params":{"content":[{"content":{"params":{"presentation":{"slides":[{"elements":[{"x":21.978021978021978,"y":50.279329608938546,"width":56.25,"height":40,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-6089536bebd6e.jpeg","mime":"image\/jpeg","copyright":{"license":"U"},"width":1620,"height":648},"alt":"heart"},"subContentId":"8b3eb941-4783-4719-9df9-6c058144b477","metadata":{"contentType":"Image","license":"U","title":"Untitled Image"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":6.279434850863423,"y":13.966480446927374,"width":89.36169495183876,"height":29.980063257933477,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"

Learning Analytics: Foundational Concepts<\/span><\/strong><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"d9b85c9b-5507-4baf-b332-ab83ef2a7b6d"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""}],"slideBackgroundSelector":{}}],"keywordListEnabled":true,"keywordListAlwaysShow":false,"keywordListAutoHide":false,"keywordListOpacity":90,"globalBackgroundSelector":{"fillGlobalBackground":"#ffffff"}},"override":{"activeSurface":true,"hideSummarySlide":false,"summarySlideSolutionButton":true,"summarySlideRetryButton":true,"enablePrintButton":false,"social":{"showFacebookShare":false,"facebookShare":{"url":"@currentpageurl","quote":"I scored @score out of @maxScore on a task at @currentpageurl."},"showTwitterShare":false,"twitterShare":{"statement":"I scored @score out of @maxScore on a task at @currentpageurl.","url":"@currentpageurl","hashtags":"h5p, course"},"showGoogleShare":false,"googleShareUrl":"@currentpageurl"}},"l10n":{"slide":"Slide","score":"Score","yourScore":"Your Score","maxScore":"Max Score","total":"Total","totalScore":"Total Score","showSolutions":"Show solutions","retry":"Retry","exportAnswers":"Export text","hideKeywords":"Hide sidebar navigation menu","showKeywords":"Show sidebar navigation menu","fullscreen":"Fullscreen","exitFullscreen":"Exit fullscreen","prevSlide":"Previous slide","nextSlide":"Next slide","currentSlide":"Current slide","lastSlide":"Last slide","solutionModeTitle":"Exit solution mode","solutionModeText":"Solution Mode","summaryMultipleTaskText":"Multiple tasks","scoreMessage":"You achieved:","shareFacebook":"Share on Facebook","shareTwitter":"Share on Twitter","shareGoogle":"Share on Google+","summary":"Summary","solutionsButtonTitle":"Show comments","printTitle":"Print","printIngress":"How would you like to print this presentation?","printAllSlides":"Print all slides","printCurrentSlide":"Print current slide","noTitle":"No title","accessibilitySlideNavigationExplanation":"Use left and right arrow to change slide in that direction whenever canvas is selected.","accessibilityCanvasLabel":"Presentation canvas. Use left and right arrow to move between slides.","containsNotCompleted":"@slideName contains not completed interaction","containsCompleted":"@slideName contains completed interaction","slideCount":"Slide @index of @total","containsOnlyCorrect":"@slideName only has correct answers","containsIncorrectAnswers":"@slideName has incorrect answers","shareResult":"Share Result","accessibilityTotalScore":"You got @score of @maxScore points in total","accessibilityEnteredFullscreen":"Entered fullscreen","accessibilityExitedFullscreen":"Exited fullscreen"}},"library":"H5P.CoursePresentation 1.25","metadata":{"contentType":"Course Presentation","license":"U","title":"Untitled Course Presentation"},"subContentId":"40320791-69ce-4a68-a5c9-de9ef18ea618"},"useSeparator":"auto"},{"content":{"params":{"panels":[{"content":{"params":{"text":"

By the end of this module, we hope that you will be able to:<\/p>\n\n

\n\t
define Learning Analytics;<\/li>\n\t
differentiate Learning Analytics and Academic Analytics;<\/li>\n\t
align your work in analysis of learner data with your philosophical\/epistomological view of learning, your pedagogical approach to course design and delivery, and your development of assessments to support learner success;<\/li>\n\t
identify different methodological approaches to Learning Analytics, and consider how your current and future work in analysis of learner data is informed by these approaches;<\/li>\n\t
evaluate how your theories of assessment relate to and inform your work in Learning Analytics; and<\/li>\n\t
recognize the ethical implications of measurement, collection, analysis and reporting of data about learners.<\/li>\n<\/ul>\n"},"library":"H5P.AdvancedText 1.1","subContentId":"c85a3ff9-74f4-45f6-b9ac-7f6b100efbe7","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"title":"Learning Outcomes"}],"hTag":"h2"},"library":"H5P.Accordion 1.0","metadata":{"contentType":"Accordion","license":"U","title":"Learning Outcomes"},"subContentId":"1e90fbc9-131c-45a8-8ee5-04334084228e"},"useSeparator":"auto"}]},"library":"H5P.Column 1.16","subContentId":"6b726575-57d1-47b8-96e7-25e997269166","metadata":{"contentType":"Column","license":"CC BY-NC","title":"Introduction","authors":[{"name":"Kyle Mackie","role":"Author"}],"licenseVersion":"4.0"}},{"params":{"content":[{"useSeparator":"auto","content":{"params":{"presentation":{"slides":[{"elements":[{"x":5.058953673474894,"y":35.97607590952017,"width":91.04143620322155,"height":38.97408223531352,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
\u201c...learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.\u201d<\/span><\/p>\n\n

\n(1st International Conference on Learning Analytics and Knowledge)<\/span><\/p>\n"},"subContentId":"818b8dc9-7975-4482-807c-7944b465f2ee","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":5.058953673474894,"y":11.99202530317339,"width":89.36827159161427,"height":17.988037954760085,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
a working definition:<\/span><\/strong><\/span><\/p>\n"},"subContentId":"87202802-2cb2-4195-a685-dd8eafc1459c","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":93.7586002212449,"y":89.93419376114883,"width":5.724256671073578,"height":10.170976300759996,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-60818585b8017.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"next","title":"next"},"subContentId":"b077a1d2-aa65-49dc-ae47-7f3cc27531eb","metadata":{"contentType":"Image","license":"U","title":"Untitled Image"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":84.03361344537815,"y":92.60027249259015,"width":13.445378151260504,"height":7.170857634573095,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
next slide<\/span><\/strong><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"eacce544-44fb-4a96-9838-2c19ac05486b"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":80.67226890756302,"y":86.6478630844249,"width":19.301512605042014,"height":13.146572330050674,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"next","invisible":false,"title":"next"}],"slideBackgroundSelector":{}},{"elements":[{"x":3.361344537815126,"y":20.915001434171526,"width":94.42064862531366,"height":74.95015814483368,"action":{"library":"H5P.Table 1.1","params":{"text":"
\n\t\n\t\t\n\t\t\t\n\t\t\n\t\t\t
<\/th>\n\t\t\t <\/th>\n\t\t<\/tr>\n\t<\/thead>\n\t
<\/td>\n\t\t\t \n\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t
TYPE OF ANALYTICS<\/th>\n\t\t\t\t\t\t LEVEL OF ANALYSIS<\/th>\n\t\t\t\t\t\t WHO BENEFITS?<\/th>\n\t\t\t\t\t<\/tr>\n\t\t\t\t<\/thead>\n\t\t\t\t
Learning Analytics<\/td>\n\t\t\t\t\t\t \n\t\t\t\t\t\t
Course-level<\/strong>: social networks, conceptional development, discourse analysis, \" intelligent curriculum\"<\/div>\n\t\t\t\t\t\t<\/td>\n\t\t\t\t\t\t
Learners, facuity<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t\t
Departmental<\/strong>: predictive modelling, patterns of success \/ failure<\/td>\n\t\t\t\t\t\t Learners, facuity<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t\t
Academic Analytics<\/td>\n\t\t\t\t\t\t \n\t\t\t\t\t\t
Institutional:<\/strong> learner profiles, performance of academics, knowledge flow<\/div>\n\t\t\t\t\t\t<\/td>\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
Administrators, funders, marketing<\/div>\n\t\t\t\t\t\t<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t\t
Regional<\/strong> (state\/provincial): comparisons between systems<\/td>\n\t\t\t\t\t\t Funders, administrators<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t\t
National and international<\/strong><\/td>\n\t\t\t\t\t\t National governments, educational authorities<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t<\/tbody>\n\t\t\t<\/table>\n\t\t\t<\/td>\n\t\t<\/tr>\n\t<\/tbody>\n<\/table>\n"},"subContentId":"4dbe2135-4412-41e5-8ce2-a86d1cc3dec3","metadata":{"contentType":"Table","license":"U","title":"Untitled Table"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":3.361344537815126,"y":2.9878573477387893,"width":94.42722526508918,"height":23.98405060634678,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
\u201cLearning analytics is more specific than academic analytics: the focus of the former is exclusively on the learning process...Academic analytics reflects the role of data analysis at an institutional level, whereas learning analytics centers on the learning process (which includes analyzing the relationship between learner, content, institution, and educator).\u201d<\/span><\/p>\n"},"subContentId":"818b8dc9-7975-4482-807c-7944b465f2ee","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":95.27696085044383,"y":1.4990031628966738,"width":40,"height":40,"action":{"library":"H5P.Link 1.3","params":{"linkWidget":{"protocol":"https:\/\/","url":"er.educause.edu\/articles\/2011\/9\/penetrating-the-fog-analytics-in-learning-and-education"},"title":"George Siemens - Penetrating the Fog: Analytics in Learning and Education"},"subContentId":"864a490b-5ab9-485d-8bad-cbdefbb48ffe","metadata":{"contentType":"Link","license":"U"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"small","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.93419376114883,"width":5.658389094244933,"height":10.059720286009803,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-608186a53a3bb.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"back","title":"back"},"subContentId":"750f5b4b-ea98-43d9-b639-5850958318be","metadata":{"contentType":"Image","license":"U","title":"Untitled Image"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.63572043216368,"width":5.058953673474894,"height":10.001169222467059,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"previous","invisible":false,"title":"back"},{"x":94.11764705882352,"y":89.63572043216368,"width":5.724256671073578,"height":10.170976300759996,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-60818585b8017.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"next","title":"next"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"e0ca05e1-6a18-4429-9507-39119de4f18b"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":92.43697478991596,"y":86.86044072382145,"width":7.536773109243698,"height":13.141911272588201,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"next","invisible":false,"title":"next"}],"slideBackgroundSelector":{}},{"elements":[{"x":5.042016806722689,"y":8.963572043216368,"width":89.36827159161427,"height":17.988037954760085,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Learning Analytics in action<\/span><\/strong><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"da084ff1-59ad-4080-a122-a7d83404369b"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":10.084033613445378,"y":26.890716129649107,"width":80.67226890756302,"height":14.934625681231475,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Complete this survey<\/a> to see analytics in action.<\/strong>
\n(This link opens a Google Form a new browser window.)<\/span><\/p>\n"},"subContentId":"65637462-450d-4511-ac2d-9b4a6ab8f8b8","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":10.084033613445378,"y":47.80571756382063,"width":80.67226890756302,"height":8.963572043216368,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
After you've completed this survey, consider:<\/strong><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"833bf98d-030d-46e6-a6f2-9dd882f5b123"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":11.76470588235294,"y":56.769289607037,"width":78.99159663865547,"height":40.247334831245816,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
\n\t
What information would be helpful for you to have about your learners before your course starts?<\/span><\/li>\n\t
How would you use this data?<\/span><\/li>\n\t
Are there sources of information you already have access to that would help guide your course design and facilitation?<\/span><\/li>\n<\/ul>\n"},"subContentId":"d139d940-4f60-46a5-9860-a1d5629dbbe3","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.93419376114883,"width":5.658389094244933,"height":10.059720286009803,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-608186a53a3bb.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"back","title":"back"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"a0708978-b696-4d98-b235-ddf4bacda4b8"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.92524380915957,"width":6.722689075630252,"height":10,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"previous","invisible":false,"title":"back"},{"x":80.67226890756302,"y":26.890716129649107,"width":40,"height":40,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
This survey survey was developed using Google Forms as a quick demonstration. All responses are anonymous and will only be used for learning purposes inside this module. <\/p>\n"},"subContentId":"f1aae73e-a89a-4def-9365-92a09e84b553","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""}],"slideBackgroundSelector":{}}],"keywordListEnabled":true,"globalBackgroundSelector":{"fillGlobalBackground":"#ffffff"},"keywordListAlwaysShow":false,"keywordListAutoHide":false,"keywordListOpacity":90},"override":{"activeSurface":true,"hideSummarySlide":false,"summarySlideSolutionButton":true,"summarySlideRetryButton":true,"enablePrintButton":false,"social":{"showFacebookShare":false,"facebookShare":{"url":"@currentpageurl","quote":"I scored @score out of @maxScore on a task at @currentpageurl."},"showTwitterShare":false,"twitterShare":{"statement":"I scored @score out of @maxScore on a task at @currentpageurl.","url":"@currentpageurl","hashtags":"h5p, course"},"showGoogleShare":false,"googleShareUrl":"@currentpageurl"}},"l10n":{"slide":"Slide","score":"Score","yourScore":"Your Score","maxScore":"Max Score","total":"Total","totalScore":"Total Score","showSolutions":"Show solutions","retry":"Retry","exportAnswers":"Export text","hideKeywords":"Hide sidebar navigation menu","showKeywords":"Show sidebar navigation menu","fullscreen":"Fullscreen","exitFullscreen":"Exit fullscreen","prevSlide":"Previous slide","nextSlide":"Next slide","currentSlide":"Current slide","lastSlide":"Last slide","solutionModeTitle":"Exit solution mode","solutionModeText":"Solution Mode","summaryMultipleTaskText":"Multiple tasks","scoreMessage":"You achieved:","shareFacebook":"Share on Facebook","shareTwitter":"Share on Twitter","shareGoogle":"Share on Google+","summary":"Summary","solutionsButtonTitle":"Show comments","printTitle":"Print","printIngress":"How would you like to print this presentation?","printAllSlides":"Print all slides","printCurrentSlide":"Print current slide","noTitle":"No title","accessibilitySlideNavigationExplanation":"Use left and right arrow to change slide in that direction whenever canvas is selected.","accessibilityCanvasLabel":"Presentation canvas. Use left and right arrow to move between slides.","containsNotCompleted":"@slideName contains not completed interaction","containsCompleted":"@slideName contains completed interaction","slideCount":"Slide @index of @total","containsOnlyCorrect":"@slideName only has correct answers","containsIncorrectAnswers":"@slideName has incorrect answers","shareResult":"Share Result","accessibilityTotalScore":"You got @score of @maxScore points in total","accessibilityEnteredFullscreen":"Entered fullscreen","accessibilityExitedFullscreen":"Exited fullscreen"}},"library":"H5P.CoursePresentation 1.25","metadata":{"contentType":"Course Presentation","license":"U","title":"Untitled Course Presentation"},"subContentId":"f1f707a5-fd08-40b0-b795-4bbced6f2902"}},{"content":{"params":{"text":"
The short animated video below explains the basic concept for educators and gives some tips on how to evaluate learning analytics systems. As you watch the video, you will be presented with prompts to consider.<\/span><\/strong><\/span><\/p>\n"},"library":"H5P.AdvancedText 1.1","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"3d6b31f9-dffc-4979-87e0-08fb914bd18f"},"useSeparator":"enabled"},{"content":{"params":{"interactiveVideo":{"video":{"startScreenOptions":{"title":"Interactive Video","hideStartTitle":false},"textTracks":{"videoTrack":[{"label":"Subtitles","kind":"subtitles","srcLang":"en"}]},"files":[{"path":"https:\/\/youtu.be\/Sanf-2JAg1w","mime":"video\/YouTube","copyright":{"license":"U"}}]},"assets":{"interactions":[{"x":10.16074295352476,"y":15.065913370998116,"width":30.625,"height":14.375,"duration":{"from":60.158,"to":61.158},"libraryTitle":"Multiple Choice","action":{"library":"H5P.MultiChoice 1.16","params":{"media":{"disableImageZooming":false},"answers":[{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"
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Consider:
\nWhat does participation mean in your learning context?
\nDoes \"participation\" always reflect engagement?<\/strong><\/p>\n"},"subContentId":"cc65ff6d-c8b9-4ba6-b36e-2b1cb6cc0c11","metadata":{"contentType":"Multiple Choice","license":"U","title":"Untitled Multiple Choice"}},"pause":true,"displayType":"poster","buttonOnMobile":false,"adaptivity":{"correct":{"allowOptOut":false,"message":""},"wrong":{"allowOptOut":false,"message":""},"requireCompletion":false},"label":""},{"x":27.095314542732694,"y":24.105461393596986,"width":10,"height":10,"duration":{"from":68.563,"to":69.563},"libraryTitle":"Text","action":{"library":"H5P.Text 1.1","params":{"text":"
What data might not be included in a report?<\/p>\n"},"subContentId":"551bfdd7-a9b4-488a-abc8-b357ee7d66c1","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"pause":true,"displayType":"button","buttonOnMobile":false,"visuals":{"backgroundColor":"rgb(255, 255, 255)","boxShadow":true},"goto":{"url":{"protocol":"http:\/\/"},"visualize":false,"type":""},"label":"
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How might analytics help you to better understand your students\u2019 backgrounds?<\/strong><\/p>\n"},"subContentId":"1cc08e24-9b99-4117-bbf2-c1b803b1fcca","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"pause":false,"displayType":"poster","buttonOnMobile":false,"visuals":{"backgroundColor":"rgb(255, 255, 255)","boxShadow":true},"goto":{"url":{"protocol":"http:\/\/"},"visualize":false,"type":""},"label":""},{"x":77.8990293103565,"y":57.250470809792844,"width":10,"height":10,"duration":{"from":147.2,"to":148.2},"libraryTitle":"Text","action":{"library":"H5P.Text 1.1","params":{"text":"
What are your goals? What do you want to measure? What data would be helpful?<\/p>\n"},"subContentId":"48d7104b-78f3-45b7-acb0-c9f80358714a","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"pause":true,"displayType":"button","buttonOnMobile":false,"visuals":{"backgroundColor":"rgb(255, 255, 255)","boxShadow":true},"goto":{"url":{"protocol":"http:\/\/"},"visualize":false,"type":""},"label":"
Key questions:<\/p>\n"},{"x":5.08037147676238,"y":45.197740112994346,"width":11.875,"height":6.25,"duration":{"from":165.711,"to":167.711},"libraryTitle":"Text","action":{"library":"H5P.Text 1.1","params":{"text":"
What tools do you already use to track student progress?<\/p>\n"},"subContentId":"02674cdc-adac-4847-8fb5-143406b9366a","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"pause":false,"displayType":"poster","buttonOnMobile":false,"visuals":{"backgroundColor":"rgb(255, 255, 255)","boxShadow":true},"goto":{"url":{"protocol":"http:\/\/"},"visualize":false,"type":""},"label":""},{"x":45.72334329086142,"y":72.31638418079096,"width":10,"height":10,"duration":{"from":201.702,"to":203.702},"libraryTitle":"Text","action":{"library":"H5P.Text 1.1","params":{"text":"
Is the analytic helpful? Is this a sensible approach?<\/p>\n"},"subContentId":"c78204e0-7dd5-4459-81cb-dcebfa25570d","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"pause":false,"displayType":"button","buttonOnMobile":false,"visuals":{"backgroundColor":"rgb(255, 255, 255)","boxShadow":true},"goto":{"url":{"protocol":"http:\/\/"},"visualize":false,"type":""},"label":"
Key point<\/p>\n"},{"x":10.157435420011243,"y":36.15819209039548,"width":28.4460625,"height":6.875,"duration":{"from":211.82999999999998,"to":212.82999999999998},"libraryTitle":"Text","action":{"library":"H5P.Text 1.1","params":{"text":"
But remember, it's not just about information, zeros, and ones.
\nIt's always important to focus on the whole student, and take a human approach teaching and learning.<\/strong><\/p>\n"},"subContentId":"9cde7513-2fc3-4538-88f5-48d1f73e117f","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"pause":true,"displayType":"poster","buttonOnMobile":false,"visuals":{"backgroundColor":"rgb(255, 255, 255)","boxShadow":true},"goto":{"url":{"protocol":"http:\/\/"},"visualize":false,"type":""},"label":""}],"endscreens":[{"time":243,"label":"4:03 Submit screen"}]},"summary":{"task":{"library":"H5P.Summary 1.10","params":{"intro":"Choose the correct statement.","summaries":[{"subContentId":"c0b09d70-3e4f-4624-9723-049a9161e23b","tip":""}],"overallFeedback":[{"from":0,"to":100}],"solvedLabel":"Progress:","scoreLabel":"Wrong answers:","resultLabel":"Your result","labelCorrect":"Correct.","labelIncorrect":"Incorrect! Please try again.","alternativeIncorrectLabel":"Incorrect","labelCorrectAnswers":"Correct answers.","tipButtonLabel":"Show tip","scoreBarLabel":"You got :num out of :total points","progressText":"Progress :num of :total"},"subContentId":"73f54088-05a5-4e8c-9b5d-120d5d44485c","metadata":{"contentType":"Summary","license":"U","title":"Untitled Summary"}},"displayAt":3}},"override":{"autoplay":false,"loop":false,"showBookmarksmenuOnLoad":false,"showRewind10":false,"deactivateSound":false,"preventSkippingMode":"none"},"l10n":{"interaction":"Interaction","play":"Play","pause":"Pause","mute":"Mute","unmute":"Unmute","quality":"Video Quality","captions":"Captions","close":"Close","fullscreen":"Fullscreen","exitFullscreen":"Exit Fullscreen","summary":"Open summary dialog","bookmarks":"Bookmarks","endscreen":"Submit screen","defaultAdaptivitySeekLabel":"Continue","continueWithVideo":"Continue with video","playbackRate":"Playback Rate","rewind10":"Rewind 10 Seconds","navDisabled":"Navigation is disabled","sndDisabled":"Sound is disabled","requiresCompletionWarning":"You need to answer all the questions correctly before continuing.","back":"Back","hours":"Hours","minutes":"Minutes","seconds":"Seconds","currentTime":"Current time:","totalTime":"Total time:","singleInteractionAnnouncement":"Interaction appeared:","multipleInteractionsAnnouncement":"Multiple interactions appeared.","videoPausedAnnouncement":"Video is paused","content":"Content","answered":"@answered answered","endcardTitle":"@answered Question(s) answered","endcardInformation":"You have answered @answered questions, click below to submit your answers.","endcardInformationNoAnswers":"You have not answered any questions.","endcardInformationMustHaveAnswer":"You have to answer at least one question before you can submit your answers.","endcardSubmitButton":"Submit Answers","endcardSubmitMessage":"Your answers have been submitted!","endcardTableRowAnswered":"Answered questions","endcardTableRowScore":"Score","endcardAnsweredScore":"answered","endCardTableRowSummaryWithScore":"You got @score out of @total points for the @question that appeared after @minutes minutes and @seconds seconds.","endCardTableRowSummaryWithoutScore":"You have answered the @question that appeared after @minutes minutes and @seconds seconds."}},"library":"H5P.InteractiveVideo 1.26","metadata":{"contentType":"Interactive Video","license":"U","title":"Untitled Interactive Video"},"subContentId":"e46b80ea-e73f-4145-891b-010d5a04eb29"},"useSeparator":"enabled"}]},"library":"H5P.Column 1.16","subContentId":"24b75819-511b-410b-a8b4-5ce33d1c0ad8","metadata":{"contentType":"Column","license":"U","title":"Definitions"}},{"params":{"content":[{"content":{"params":{"presentation":{"slides":[{"elements":[{"x":5.058953673474894,"y":2.098604428055343,"width":89.35511831206324,"height":38.97408223531352,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Learning analytics, as a new form of assessment instrument, have potential to support current educational practices, or to challenge them and reshape education. <\/span><\/strong><\/span><\/p>\n\n
The diagram below provides a series of provocations and actionable guidance when considering learning analytics tools and approaches. Click on the information icons for more details. On the next page, you will be able to make notes based on these provocations.<\/span><\/p>\n\n
<\/p>\n"},"subContentId":"79310534-b0ae-4a4b-9a03-56bcfbde8b45","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":33.72635782316596,"y":47.96810121269356,"width":30.808184712516525,"height":41.743640479081414,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-60808d16c05ca.png","mime":"image\/png","copyright":{"license":"U"},"width":1158,"height":879},"alt":"triangle"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"a70c9e6c-76dd-4a68-ac51-bc060c3d0016"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":57.33480829938213,"y":89.94018977380043,"width":30.860966462509783,"height":7.489169702148071,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Pedagogy<\/strong><\/span><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"bb03f8b1-7bcd-4b4f-888b-e2eb74f2e51b"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":64.41734344224699,"y":81.24597142899971,"width":40,"height":35.999460358861356,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Who is the assessment\/ analytic for?<\/strong><\/span><\/span><\/p>\n\n
\n\t
Who is the target audience? Does this support teachers, parents, students, or administrators in understanding some aspect of learning?<\/li>\n\t
Is the analytic designed to provide insight at a macro (government, institutional), meso (school, class), or micro (individual student or activity) level? <\/li>\n\t
How might insights support:\n\t
\n\t\t
learners in developing their learning<\/li>\n\t\t
educators in developing their own practice and in targeting their support at individual student needs; and<\/li>\n\t\t
administrators in understanding how cohorts are developing and their organizational needs.<\/li>\n\t<\/ul>\n\t<\/li>\n<\/ul>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"a582e2b5-8741-4699-a73b-766f7d481e05"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":61.21333944904622,"y":90.83959167153843,"width":40,"height":35.999460358861356,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Why is this knowledge important to us?<\/strong><\/span><\/span><\/p>\n\n
\n\t
What knowledge will, and will not, be focused on?<\/li>\n\t
How can we ensure that we measure what we value rather than value merely that which is easily measured?<\/li>\n\t
Why does this analytic matter to educators and learners?\n\t
\n\t\t
Does this data demonstrate proficiency in particular skills?<\/li>\n\t\t
Is this data related to certifications or reporting requirements? <\/li>\n\t\t
Does this data relate to pedagogic aims such as the support of particular groups of students?<\/li>\n\t<\/ul>\n\t<\/li>\n<\/ul>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"c13a2ffe-4796-4248-b7f3-db31f96e4dbc"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":29.341931306154386,"y":41.972088561106865,"width":40.33335132072417,"height":7.1905382920357965,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Epistemology<\/strong><\/span><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"84b9a7ae-850d-4b3e-8e77-e799a0edac5e"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":42.15794727895745,"y":47.66830058011423,"width":40,"height":35.999460358861356,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
What are we measuring?<\/strong><\/span><\/span><\/p>\n\n
\n\t
What does \u201cknowledge\u201d look like within the analytic approach being developed, asking, What are we trying to measure?<\/li>\n\t
What is the connection between the knowledge being assessed and the methods and measures used to quantify activity and outputs within particular tasks. <\/li>\n\t
What are the skills and facts we want our students to learn, and what does it mean for students to \u201ccome to know.\u201d<\/li>\n<\/ul>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"3c00c4db-208a-4d4d-b20b-b6bfa08aaa03"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":52.10722283679141,"y":47.96810121269356,"width":40,"height":35.999460358861356,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
How are we measuring? <\/strong><\/span><\/span><\/p>\n\n
\n\t
What is your philosophy and approach to assessment?<\/li>\n\t
How is this reflected in learner data?<\/li>\n\t
How much of your assessment is quantitative and how much is qualitative?<\/li>\n<\/ul>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"00fb7b3b-7f64-4dc6-81e2-d75389b61e2d"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":10.117907346949789,"y":89.34058850864176,"width":28.525753446833768,"height":7.1905382920357965,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Assessment<\/strong><\/span><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"527bc560-03cb-4bbd-9b0e-237ebd399664"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":29.679194884386042,"y":80.34656953126171,"width":40,"height":35.999460358861356,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Where does the assessment happen?<\/strong><\/span><\/span><\/p>\n\n
\n\t
To what extent can computational analytics be designed to add value?<\/li>\n\t
How might an assessment bias particular kinds of response \u2014 in sometimes-unintended ways. For example, particular groups of students, or kinds of knowledge, might be privileged over others through the design of assessment contexts\n\t
\n\t\t
through requirements for behaviours that not all students might engage in;<\/li>\n\t\t
through the use of technologies that unfairly assume socioeconomic means; or<\/li>\n\t\t
through separating assessment from the applied context in which an expertise can be displayed authentically.<\/li>\n\t<\/ul>\n\t<\/li>\n\t
How do the tools and approaches we use mediate the ways in which people interact with each other and the world around them, and the activity they measure?<\/li>\n<\/ul>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"823047b0-dbfd-468b-81e0-94523566b782"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":33.72635782316596,"y":90.83959167153843,"width":40,"height":35.999460358861356,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
When does the assessment, and feedback, occur?<\/strong><\/span><\/span><\/p>\n\n
\n\t
When does the assessment and feedback cycle occur?<\/li>\n\t
Is the assessment formative or summative?<\/li>\n\t
Does the particular technology provide after-the-fact or real-time feedback? Is this feedback intended to provide a scaffold or model for current behaviour, or is it targeted at future behaviour and learning?<\/li>\n<\/ul>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"f19362b8-b3c2-4a71-a359-70d86597473c"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":95.76138147566719,"y":2.793296089385475,"width":40,"height":40,"action":{"library":"H5P.Link 1.3","params":{"linkWidget":{"protocol":"https:\/\/","url":"www.solaresearch.org\/publications\/hla-17\/hla17-chapter1\/"},"title":"Simon Knight & Simon Buckingham Shum - Theory and Learning Analytics"},"subContentId":"9291e63c-ff1c-412d-b00a-f5f83915f76e","metadata":{"contentType":"Link","license":"U"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"small","goToSlideType":"specified","invisible":false,"solution":""}],"slideBackgroundSelector":{}}],"keywordListEnabled":true,"keywordListAlwaysShow":false,"keywordListAutoHide":false,"keywordListOpacity":90,"globalBackgroundSelector":{"fillGlobalBackground":"#ffffff"}},"override":{"activeSurface":true,"hideSummarySlide":false,"summarySlideSolutionButton":true,"summarySlideRetryButton":true,"enablePrintButton":false,"social":{"showFacebookShare":false,"facebookShare":{"url":"@currentpageurl","quote":"I scored @score out of @maxScore on a task at @currentpageurl."},"showTwitterShare":false,"twitterShare":{"statement":"I scored @score out of @maxScore on a task at @currentpageurl.","url":"@currentpageurl","hashtags":"h5p, course"},"showGoogleShare":false,"googleShareUrl":"@currentpageurl"}},"l10n":{"slide":"Slide","score":"Score","yourScore":"Your Score","maxScore":"Max Score","total":"Total","totalScore":"Total Score","showSolutions":"Show solutions","retry":"Retry","exportAnswers":"Export text","hideKeywords":"Hide sidebar navigation menu","showKeywords":"Show sidebar navigation menu","fullscreen":"Fullscreen","exitFullscreen":"Exit fullscreen","prevSlide":"Previous slide","nextSlide":"Next slide","currentSlide":"Current slide","lastSlide":"Last slide","solutionModeTitle":"Exit solution mode","solutionModeText":"Solution Mode","summaryMultipleTaskText":"Multiple tasks","scoreMessage":"You achieved:","shareFacebook":"Share on Facebook","shareTwitter":"Share on Twitter","shareGoogle":"Share on Google+","summary":"Summary","solutionsButtonTitle":"Show comments","printTitle":"Print","printIngress":"How would you like to print this presentation?","printAllSlides":"Print all slides","printCurrentSlide":"Print current slide","noTitle":"No title","accessibilitySlideNavigationExplanation":"Use left and right arrow to change slide in that direction whenever canvas is selected.","accessibilityCanvasLabel":"Presentation canvas. Use left and right arrow to move between slides.","containsNotCompleted":"@slideName contains not completed interaction","containsCompleted":"@slideName contains completed interaction","slideCount":"Slide @index of @total","containsOnlyCorrect":"@slideName only has correct answers","containsIncorrectAnswers":"@slideName has incorrect answers","shareResult":"Share Result","accessibilityTotalScore":"You got @score of @maxScore points in total","accessibilityEnteredFullscreen":"Entered fullscreen","accessibilityExitedFullscreen":"Exited fullscreen"}},"library":"H5P.CoursePresentation 1.25","metadata":{"contentType":"Course Presentation","license":"U","title":"Untitled Course Presentation"},"subContentId":"0044ab67-c8c0-47eb-8474-5ebcf9ce8d2b"},"useSeparator":"auto"}]},"library":"H5P.Column 1.16","subContentId":"70615fe8-2f44-4182-8429-74113b042654","metadata":{"contentType":"Column","license":"U","title":"Theory"}},{"params":{"content":[{"content":{"params":{"text":"
<\/p>\n\n
These provocations are presented as tool for designers, educators, researchers, and students \u2014 whether considering how one currently makes use of analytical tools, how one might do in the future, or indeed when designing new tools for new contexts.<\/span><\/strong><\/span><\/p>\n\n
You can use the worksheet below to capture your reflections. On the final page, you will be able to download your document to continue your work on it.<\/span><\/p>\n"},"library":"H5P.AdvancedText 1.1","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"f3b4629d-a2d8-4749-9cf4-fdd150cdd536"},"useSeparator":"auto"},{"content":{"params":{"taskDescription":"Learning Analytics and Theory","pagesList":[{"params":{"elementList":[{"params":{"inputFieldSize":"10","requiredField":false,"remainingChars":"Remaining characters: @chars","taskDescription":"
What are we measuring?<\/p>\n"},"library":"H5P.TextInputField 1.2","metadata":{"contentType":"Text input field editor element","license":"U"},"subContentId":"e0c80eff-2d5b-4c2d-b0b6-24ea3a1cd9cf"},{"params":{"inputFieldSize":"10","requiredField":false,"remainingChars":"Remaining characters: @chars","taskDescription":"
How are we measuring?<\/p>\n"},"library":"H5P.TextInputField 1.2","metadata":{"contentType":"Text input field editor element","license":"U"},"subContentId":"14036874-0f14-4eab-af0d-0cdbb6004c38"}],"helpTextLabel":"Prompts and considerations","helpText":"
What are we measuring?<\/strong><\/p>\n\n
\n\t
Consider what \u201cknowledge\u201d looks like within the analytic approach being developed, asking, What are we trying to measure?<\/li>\n\t
Consider the connection between the knowledge being assessed and a practical account of the methods and measures used to quantify activity and outputs within particular tasks. Asking What are we trying to measure?<\/li>\n\t
Consider our learning design, the skills and facts we want our students to learn, and what it means for students to \u201ccome to know.\u201d<\/li>\n<\/ul>\n\n
How are we measuring? <\/strong><\/p>\n\n
\n\t
Consider your philosophy and approach to assessment<\/li>\n\t
How much of your assessment is quantitative and how much is qualitative?<\/li>\n<\/ul>\n"},"library":"H5P.StandardPage 1.5","metadata":{"contentType":"Standard page","license":"U","title":"Epistomology"},"subContentId":"efcb676e-3560-405d-aa70-c54d34263349"},{"params":{"elementList":[{"params":{"inputFieldSize":"10","requiredField":false,"remainingChars":"Remaining characters: @chars","taskDescription":"
Why is this knowledge important to us?<\/p>\n"},"library":"H5P.TextInputField 1.2","metadata":{"contentType":"Text input field editor element","license":"U"},"subContentId":"1cb216df-007c-4208-8bb4-682313b45abf"},{"params":{"inputFieldSize":"10","requiredField":false,"remainingChars":"Remaining characters: @chars","taskDescription":"
Who is the assessment\/ analytic for?<\/p>\n"},"library":"H5P.TextInputField 1.2","metadata":{"contentType":"Text input field editor element","license":"U"},"subContentId":"3d4e785b-282b-4777-976d-5d9ef38ef277"}],"helpTextLabel":"Prompts and considerations","helpText":"
Why is this knowledge important to us?<\/strong><\/p>\n\n
\n\t
Consider what knowledge will, and will not, be focused on?<\/li>\n\t
How can we ensure that we measure what we value rather than value merely that which is easily measured?<\/li>\n<\/ul>\n\n
Who is the assessment\/ analytic for?<\/strong><\/p>\n\n
\n\t
Consider who the target of the analytic is, whether it supports teachers, parents, students, or administrators in understanding some aspect of learning.<\/li>\n\t
Is the analytic designed to provide insight at a macro (government, institutional), meso (school, class), or micro (individual student or activity) level?<\/li>\n<\/ul>\n"},"library":"H5P.StandardPage 1.5","metadata":{"contentType":"Standard page","license":"U","title":"Pedagogy"},"subContentId":"e9236528-887b-434f-ab23-2bba37ba6e91"},{"params":{"elementList":[{"params":{"inputFieldSize":"10","requiredField":false,"remainingChars":"Remaining characters: @chars","taskDescription":"
Where does the assessment happen?<\/p>\n"},"library":"H5P.TextInputField 1.2","metadata":{"contentType":"Text input field editor element","license":"U"},"subContentId":"db4f1d64-ae6e-4a63-b2a1-2f6f22c67949"},{"params":{"inputFieldSize":"10","requiredField":false,"remainingChars":"Remaining characters: @chars","taskDescription":"
When does the assessment, and feedback, occur?<\/p>\n"},"library":"H5P.TextInputField 1.2","metadata":{"contentType":"Text input field editor element","license":"U"},"subContentId":"3ff52f7b-0b98-4003-ac8d-9895b80d9ca6"}],"helpTextLabel":"Prompts and considerations","helpText":"
Where does the assessment happen?<\/strong><\/p>\n\n
\n\t
Assessment always takes place in a physical location, in response to particular task demands, in a sociocultural context, with a particular set of tools.<\/li>\n\t
For each context,ask not only if the assessment is meaningful, but also to what extent meaningful computational analytics can be designed to add value.<\/li>\n\t
Consider the ways in which the assessment biases particular kinds of response \u2014 in sometimes-unintended ways. <\/li>\n<\/ul>\n\n
When does the assessment, and feedback, occur?<\/strong><\/p>\n\n
\n\t
consider the temporal context of learning analytics, asking when the assessment and feedback cycle occurs.<\/li>\n\t
consider the formative or\/and summative nature of the learning analytic; whether or not a particular technology provides after-the-fact or real-time feedback, and whether this feedback is intended to provide a scaffold or model for current behaviour, is targeted at future behaviour and learning, or is just intended as a feedback mechanism on prior work (which may not be covered again).<\/li>\n<\/ul>\n"},"library":"H5P.StandardPage 1.5","metadata":{"contentType":"Standard page","license":"U","title":"Assessment"},"subContentId":"d7355950-0215-47d2-85c6-31737765e0f6"},{"params":{"description":"
On this page you can choose to export your document to continue your work on it.<\/p>\n","createDocumentLabel":"Create document","submitTextLabel":"Submit","submitSuccessTextLabel":"Your report was submitted successfully!","selectAllTextLabel":"Select","exportTextLabel":"Export","helpTextLabel":"More information","requiresInputErrorMessage":"The following pages contain required fields that need to be filled in order to review or submit this document: @pages","helpText":""},"library":"H5P.DocumentExportPage 1.5","metadata":{"contentType":"Document Export Page","license":"U","title":"Export"},"subContentId":"621da13b-cfa4-4c6b-87a9-b22ccb9b3314"}],"i10n":{"previousLabel":"Previous","nextLabel":"Next","closeLabel":"Close"}},"library":"H5P.DocumentationTool 1.8","metadata":{"contentType":"Documentation Tool","license":"U","title":"Learning Analytics and Theory"},"subContentId":"9313ecbe-677b-4c40-a486-069b1af56650"},"useSeparator":"enabled"}]},"library":"H5P.Column 1.16","subContentId":"5287b822-e2d2-48ff-83b2-f3576c02fc89","metadata":{"contentType":"Column","license":"U","title":"Worksheet"}},{"params":{"content":[{"content":{"params":{"presentation":{"slides":[{"elements":[{"x":5.058953673474894,"y":8.994018977380042,"width":89.36827159161427,"height":17.988037954760085,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
methodological approaches<\/span><\/strong><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"33ec8710-0698-4996-8cd1-09bf65651e99"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":93.7586002212449,"y":89.83298672579694,"width":5.724256671073578,"height":10.170976300759996,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-60818585b8017.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"next","title":"next"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"437f97c0-d6cd-46e7-887a-c1b55c6c17bd"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":5.058953673474894,"y":32.97806958372682,"width":91.04143620322155,"height":47.96810121269356,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
\u201cLearning analytics (LA) features an inherent interest in algorithms and computational methods of analysis. This makes LA an interesting field of study for computer scientists and mathematically inspired researchers. A differentiated view of the different types of approaches is relevant not only for \u201ctechnologists\u201d but also for the design and interpretation of analytics applications.\u201d<\/span><\/p>\n\n
Hoppe (2017)<\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"61e27a1f-5982-48b2-ac7f-bb2ec92667a3"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":84.03361344537815,"y":92.60027249259014,"width":13.445378151260504,"height":7.170857634573095,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
next slide<\/span><\/strong><\/span><\/p>\n"},"subContentId":"3f52eb30-1b18-4da6-a594-a1e80623835f","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":78.99159663865547,"y":86.6478630844249,"width":20.982184873949578,"height":13.146572330050674,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"next","invisible":false,"title":"next"},{"x":95.76138147566719,"y":2.793296089385475,"width":40,"height":40,"action":{"library":"H5P.Link 1.3","params":{"linkWidget":{"protocol":"https:\/\/","url":"www.solaresearch.org\/publications\/hla-17\/hla17-chapter2\/"},"title":"H. Ulrich Hoppe - Computational Methods for the Analysis of Learning and Knowledge Building Communities"},"subContentId":"c59e97f6-34b6-4184-b694-2b80fa03aeb6","metadata":{"contentType":"Link","license":"U"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"small","goToSlideType":"specified","invisible":false,"solution":""}],"slideBackgroundSelector":{}},{"elements":[{"x":0,"y":89.93419376114883,"width":5.658389094244933,"height":10.059720286009803,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-608186a53a3bb.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"back","title":"back"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"b9638255-ebef-46b7-946a-ae7f42521729"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":47.05882352941176,"y":26.890716129649107,"width":30.36029868062488,"height":53.96411386428025,"action":{"library":"H5P.Shape 1.0","params":{"shape":{"fillColor":"rgb(255, 255, 255)","borderWidth":"1","borderStyle":"solid","borderColor":"#000","borderRadius":"0"},"type":"circle","line":{"borderColor":"#000000","borderWidth":"1","borderStyle":"solid"}},"subContentId":"30bd675e-f910-4a83-aafa-e5af459de061","metadata":{"contentType":"Shapes","license":"U"}},"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false},{"x":65.54621848739495,"y":2.9878573477387893,"width":30.36029868062488,"height":53.96411386428025,"action":{"library":"H5P.Shape 1.0","params":{"shape":{"fillColor":"rgba(255, 255, 255, 0)","borderWidth":"1","borderStyle":"solid","borderColor":"rgb(0, 0, 0)","borderRadius":"0"},"type":"circle","line":{"borderColor":"#000000","borderWidth":"1","borderStyle":"solid"}},"metadata":{"contentType":"Shapes","license":"U"},"subContentId":"5db08c13-f6d4-490c-b912-7ac56a77a9eb"},"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false},{"x":68.90756302521008,"y":41.83000286834305,"width":30.36029868062488,"height":53.96411386428025,"action":{"library":"H5P.Shape 1.0","params":{"shape":{"fillColor":"rgba(255, 255, 255, 0)","borderWidth":"1","borderStyle":"solid","borderColor":"#000","borderRadius":"0"},"type":"circle","line":{"borderColor":"#000000","borderWidth":"1","borderStyle":"solid"}},"metadata":{"contentType":"Shapes","license":"U"},"subContentId":"d6d32e3d-d6d8-4355-9acd-bfa563c7d1d6"},"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false},{"x":5.058953673474894,"y":8.994018977380042,"width":52.275854625907236,"height":50.942723089145716,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
The \"trinity\" of methodological approaches<\/strong><\/span><\/span><\/p>\n"},"subContentId":"ae43d601-62b3-4318-a0c9-42333f4f44e1","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":47.05882352941176,"y":50.793574911559425,"width":26.981086258532766,"height":11.99202530317339,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Content-oriented analysis<\/strong><\/span><\/span><\/p>\n"},"subContentId":"b81065e4-ffb8-46a0-874b-65e7baadbb27","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":67.22689075630252,"y":17.927144086432737,"width":26.981086258532766,"height":11.99202530317339,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Process-oriented analysis<\/strong><\/span><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"c6680a64-9c9d-4d8e-af67-ab05919ac085"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":75.63025210084034,"y":62.74500430251458,"width":18.549496802741277,"height":11.99202530317339,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Network analysis<\/strong><\/span><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"2f0aad59-e090-4b84-9731-1e1519912183"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":5.052360170520465,"y":41.960396336436276,"width":40.471629387799155,"height":40.596003657567714,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
The diagram on the left provides a summary of methodological approaches. Click on the information icons for more details. Consider how these approaches align with your current\/future work in analysis of learner data.<\/span><\/p>\n"},"subContentId":"d445d433-2118-41f0-8bd8-a45edffacb4f","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":82.35294117647058,"y":74.69643369346974,"width":40,"height":40,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Network-Analytic Methods<\/strong><\/span><\/p>\n\n
\n\t
relational perspective, viewing students\/actors as nodes in a network, represented as a graph structure<\/li>\n\t
quantifies the importance of actors by different types of measures and detects clusters of students connected more densely among each other than the average<\/li>\n\t
e.g., Who talks with whom? Who comments on which discussion posts? How do group members interact? Do learners use collaborative tools? <\/li>\n<\/ul>\n"},"subContentId":"8250f173-5681-4c65-9c9c-fa7112168639","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":78.99159663865547,"y":29.878573477387896,"width":40,"height":40,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Process-Oriented Interaction Analysis<\/strong><\/span><\/p>\n\n
\n\t
analysis of learner interactions based on the system\u2019s logfiles<\/li>\n\t
detection of patterns<\/li>\n\t
sequence analysis<\/li>\n\t
e.g., How do learners progress through the course materials? Do different learners take different paths? Do learners review all resources before completing online quizzes or submitting assignments?<\/li>\n<\/ul>\n"},"subContentId":"5233cfa6-f6ec-4a09-8d4c-c3a7e36007be","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":58.8235294117647,"y":62.74500430251458,"width":40,"height":40,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Content Analysis Using Text-Mining Methods<\/strong><\/span><\/p>\n\n
\n\t
analysis of learner-created content<\/li>\n\t
information\/text mining tools<\/li>\n<\/ul>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"cad852df-4491-42fc-ad54-7c59f132295a"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.63572043216368,"width":5.058953673474894,"height":10.001169222467059,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"previous","invisible":false,"title":"back"},{"x":93.75860022124492,"y":89.83298672579694,"width":5.724256671073578,"height":10.170976300759996,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-60818585b8017.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"next","title":"next"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"e3022b82-8ed8-4243-b1c7-baba2a2949c6"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":94.11764705882352,"y":89.6309398604073,"width":5.8561008403361345,"height":10.144701931350989,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"next","invisible":false,"title":"next"}],"slideBackgroundSelector":{}},{"elements":[{"x":16.80672268907563,"y":14.939286738693948,"width":64.21747899159664,"height":84.43505593268955,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-60895bc3b8e88.png","mime":"image\/png","copyright":{"license":"U"},"width":626,"height":463},"alt":"Analytics graphs"},"subContentId":"d1c41dae-6e5a-4fa8-9446-c32ff74d4ac3","metadata":{"contentType":"Image","license":"U","title":"Untitled Image"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":25.210084033613445,"y":2.9878573477387893,"width":50.42016806722689,"height":50.93370542116837,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
What analytics can do<\/strong><\/span><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"665c8fdf-f235-4115-a3bd-d79ddd5fd785"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":82.35294117647058,"y":8.963572043216368,"width":40,"height":40,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Consider...<\/span><\/strong><\/span><\/p>\n\n
\n\t
What relationships could you identify by looking at the data? <\/span><\/li>\n\t
Does the Course Access data provide meaningful information? Why? Why not?<\/span><\/li>\n\t
Is course access related to the grade distribution? <\/span><\/li>\n\t
Is Time in Content important? Why? Why not?<\/span><\/li>\n\t
What other data would you like to have visualizations of (analyzed and presented graphically)? How would that help inform your practice?<\/span>
\n\t <\/li>\n<\/ul>\n"},"subContentId":"e0825c4d-2b94-4e65-b269-fc6f5a715edb","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.93419376114883,"width":5.658389094244933,"height":10.059720286009803,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-608186a53a3bb.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"back","title":"back"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"db9cc665-f90f-4f62-aff0-fca8a2b8b7c4"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.92524380915957,"width":6.722689075630252,"height":10,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"previous","invisible":false,"title":"back"}],"slideBackgroundSelector":{}}],"keywordListEnabled":true,"globalBackgroundSelector":{"fillGlobalBackground":"#ffffff"},"keywordListAlwaysShow":false,"keywordListAutoHide":false,"keywordListOpacity":90},"override":{"activeSurface":true,"hideSummarySlide":false,"summarySlideSolutionButton":true,"summarySlideRetryButton":true,"enablePrintButton":false,"social":{"showFacebookShare":false,"facebookShare":{"url":"@currentpageurl","quote":"I scored @score out of @maxScore on a task at @currentpageurl."},"showTwitterShare":false,"twitterShare":{"statement":"I scored @score out of @maxScore on a task at @currentpageurl.","url":"@currentpageurl","hashtags":"h5p, course"},"showGoogleShare":false,"googleShareUrl":"@currentpageurl"}},"l10n":{"slide":"Slide","score":"Score","yourScore":"Your Score","maxScore":"Max Score","total":"Total","totalScore":"Total Score","showSolutions":"Show solutions","retry":"Retry","exportAnswers":"Export text","hideKeywords":"Hide sidebar navigation menu","showKeywords":"Show sidebar navigation menu","fullscreen":"Fullscreen","exitFullscreen":"Exit fullscreen","prevSlide":"Previous slide","nextSlide":"Next slide","currentSlide":"Current slide","lastSlide":"Last slide","solutionModeTitle":"Exit solution mode","solutionModeText":"Solution Mode","summaryMultipleTaskText":"Multiple tasks","scoreMessage":"You achieved:","shareFacebook":"Share on Facebook","shareTwitter":"Share on Twitter","shareGoogle":"Share on Google+","summary":"Summary","solutionsButtonTitle":"Show comments","printTitle":"Print","printIngress":"How would you like to print this presentation?","printAllSlides":"Print all slides","printCurrentSlide":"Print current slide","noTitle":"No title","accessibilitySlideNavigationExplanation":"Use left and right arrow to change slide in that direction whenever canvas is selected.","accessibilityCanvasLabel":"Presentation canvas. Use left and right arrow to move between slides.","containsNotCompleted":"@slideName contains not completed interaction","containsCompleted":"@slideName contains completed interaction","slideCount":"Slide @index of @total","containsOnlyCorrect":"@slideName only has correct answers","containsIncorrectAnswers":"@slideName has incorrect answers","shareResult":"Share Result","accessibilityTotalScore":"You got @score of @maxScore points in total","accessibilityEnteredFullscreen":"Entered fullscreen","accessibilityExitedFullscreen":"Exited fullscreen"}},"library":"H5P.CoursePresentation 1.25","metadata":{"contentType":"Course Presentation","license":"U","title":"Untitled Course Presentation"},"subContentId":"cd731da8-bf24-4cfc-9603-2a06d7afadeb"},"useSeparator":"auto"}]},"library":"H5P.Column 1.16","subContentId":"88689465-2abe-47c0-a447-944920e50844","metadata":{"contentType":"Column","license":"U","title":"Methodology"}},{"params":{"content":[{"content":{"params":{"presentation":{"slides":[{"elements":[{"x":5.058953673474894,"y":8.994018977380042,"width":89.36827159161427,"height":17.988037954760085,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
ethical considerations<\/span><\/strong><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"764d940b-bf20-4cdb-988d-863a39ed822c"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":5.057781512605042,"y":32.9692131178889,"width":91.03999999999999,"height":50.793574911559425,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
\u201cEthical implications around the collection, analysis, and use of student data should take cognizance of the potentially conflicting interests and claims of a range of stakeholders, such as students and institutions. Views on the benefits, risks, and potential for harm resulting from the collection, analysis, and use of student data will depend on the interests and perceptions of the particular stakeholder.\u201d<\/span><\/p>\n\n
Prinsloo and Slade (2017)<\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"4e45ec43-ba30-49a6-8c30-cc7b48d03594"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":95.76138147566719,"y":2.793296089385475,"width":40,"height":40,"action":{"library":"H5P.Link 1.3","params":{"linkWidget":{"protocol":"https:\/\/","url":"www.solaresearch.org\/publications\/hla-17\/hla17-chapter4\/"},"title":"Paul Prinsloo & Sharon Slade - Ethics and Learning Analytics: Charting the (Un)Charted"},"subContentId":"f883c074-e205-41ea-8155-fc7873dccf4f","metadata":{"contentType":"Link","license":"U"}},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"small","goToSlideType":"specified","invisible":false,"solution":""}],"slideBackgroundSelector":{}}],"keywordListEnabled":true,"globalBackgroundSelector":{"fillGlobalBackground":"#ffffff"},"keywordListAlwaysShow":false,"keywordListAutoHide":false,"keywordListOpacity":90},"override":{"activeSurface":true,"hideSummarySlide":false,"summarySlideSolutionButton":true,"summarySlideRetryButton":true,"enablePrintButton":false,"social":{"showFacebookShare":false,"facebookShare":{"url":"@currentpageurl","quote":"I scored @score out of @maxScore on a task at @currentpageurl."},"showTwitterShare":false,"twitterShare":{"statement":"I scored @score out of @maxScore on a task at @currentpageurl.","url":"@currentpageurl","hashtags":"h5p, course"},"showGoogleShare":false,"googleShareUrl":"@currentpageurl"}},"l10n":{"slide":"Slide","score":"Score","yourScore":"Your Score","maxScore":"Max Score","total":"Total","totalScore":"Total Score","showSolutions":"Show solutions","retry":"Retry","exportAnswers":"Export text","hideKeywords":"Hide sidebar navigation menu","showKeywords":"Show sidebar navigation menu","fullscreen":"Fullscreen","exitFullscreen":"Exit fullscreen","prevSlide":"Previous slide","nextSlide":"Next slide","currentSlide":"Current slide","lastSlide":"Last slide","solutionModeTitle":"Exit solution mode","solutionModeText":"Solution Mode","summaryMultipleTaskText":"Multiple tasks","scoreMessage":"You achieved:","shareFacebook":"Share on Facebook","shareTwitter":"Share on Twitter","shareGoogle":"Share on Google+","summary":"Summary","solutionsButtonTitle":"Show comments","printTitle":"Print","printIngress":"How would you like to print this presentation?","printAllSlides":"Print all slides","printCurrentSlide":"Print current slide","noTitle":"No title","accessibilitySlideNavigationExplanation":"Use left and right arrow to change slide in that direction whenever canvas is selected.","accessibilityCanvasLabel":"Presentation canvas. Use left and right arrow to move between slides.","containsNotCompleted":"@slideName contains not completed interaction","containsCompleted":"@slideName contains completed interaction","slideCount":"Slide @index of @total","containsOnlyCorrect":"@slideName only has correct answers","containsIncorrectAnswers":"@slideName has incorrect answers","shareResult":"Share Result","accessibilityTotalScore":"You got @score of @maxScore points in total","accessibilityEnteredFullscreen":"Entered fullscreen","accessibilityExitedFullscreen":"Exited fullscreen"}},"library":"H5P.CoursePresentation 1.25","metadata":{"contentType":"Course Presentation","license":"U","title":"Untitled Course Presentation"},"subContentId":"37b3707b-410f-4269-bb15-8e44f3e96d84"},"useSeparator":"auto"},{"content":{"params":{"text":"
In 2014, the Open University published a \u201cPolicy on ethical use of student data for learning analytics\u201d delimiting the nature and scope of data collected and analyzed and an explicit specification of data that will not be collected and used for learning analytics. The policy establishes the following eight principles:<\/strong><\/span><\/p>\n"},"library":"H5P.AdvancedText 1.1","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"470fb334-1cd6-4803-9115-a44ecf92af90"},"useSeparator":"auto"},{"content":{"params":{"panels":[{"content":{"params":{"text":"
Learning analytics is an ethical practice that should align with core organisational principles.<\/p>\n"},"library":"H5P.AdvancedText 1.1","subContentId":"76743409-3d91-4a91-9877-4a912e64f5c0","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"title":"Principle 1: Ethical practice"},{"content":{"params":{"text":"
The institution has a responsibility to all stakeholders to use and extract meaning from student data for the benefit of students where feasible. <\/p>\n"},"library":"H5P.AdvancedText 1.1","subContentId":"796c54be-e137-4a99-b97f-2daca889e140","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"title":"Principle 2: Responsibility"},{"content":{"params":{"text":"
Students should not be wholly defined by their visible data or our interpretation of that data.<\/p>\n"},"library":"H5P.AdvancedText 1.1","subContentId":"bde2030d-d7e7-492a-b11d-dc81ee19f4db","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"title":"Principle 3: The whole student"},{"content":{"params":{"text":"
The purpose and the boundaries regarding the use of learning analytics should be well defined and visible.<\/p>\n"},"library":"H5P.AdvancedText 1.1","subContentId":"1fd737ee-4113-4cce-854d-33cdb69598fe","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"title":"Principle 4: Purpose and Boundaries"},{"content":{"params":{"text":"
The institution is transparent regarding data collection, and will provide students with the opportunity to update their own data and consent agreements at regular intervals.<\/p>\n"},"library":"H5P.AdvancedText 1.1","subContentId":"ae9c783b-d171-4870-ade7-6879a054c5ff","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"title":"Principle 5: Transparency"},{"content":{"params":{"text":"
Students should be engaged as active agents in the implementation of learning analytics (e.g. informed consent, personalised learning paths, interventions).<\/p>\n"},"library":"H5P.AdvancedText 1.1","subContentId":"d22681cc-2009-4523-8ab7-3121d24bbbbf","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"title":"Principle 6: Students as active agents"},{"content":{"params":{"text":"
Modelling and interventions based on analysis of data should be sound and free from bias.<\/p>\n"},"library":"H5P.AdvancedText 1.1","subContentId":"4d3a50cd-65fa-4ef4-9180-98010a039d05","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"title":"Principle 7: Consideration of bias"},{"content":{"params":{"text":"
Adoption of learning analytics within the institution requires broad acceptance of the values and benefits (organisational culture) and the development of appropriate skills across the organisation.<\/p>\n"},"library":"H5P.AdvancedText 1.1","subContentId":"752c767e-3133-4f11-b296-57c298d4a04a","metadata":{"contentType":"Text","license":"U","title":"Untitled Text"}},"title":"Principle 8: Culture"}],"hTag":"h2"},"library":"H5P.Accordion 1.0","metadata":{"contentType":"Accordion","license":"U","title":"Untitled Accordion"},"subContentId":"872b02dc-772e-4049-850b-615c009208ea"},"useSeparator":"auto"}]},"library":"H5P.Column 1.16","subContentId":"bf71c41f-1dc6-42e9-83dd-023bf22ae0d2","metadata":{"contentType":"Column","license":"U","title":"Ethics"}},{"params":{"content":[{"content":{"params":{"presentation":{"slides":[{"elements":[{"x":4.7095761381475665,"y":0,"width":89.36827159161427,"height":17.988037954760085,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
References<\/span><\/strong><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"aed4d98b-60f4-4309-b2de-27a3ffe6a42a"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":3.1179120879120883,"y":16.769469273743017,"width":93.87755102040816,"height":83.24022346368714,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Ga\u0161evi\u0107, Dawson, Siemens. (2015). Let\u2019s not forget: Learning Analytics are about Learning. <https:\/\/www.sfu.ca\/~dgasevic\/papers_shared\/techtrends2015.pdf>.<\/span><\/p>\n\n
Hoppe, U. (2017). Computational Methods for the Analysis of Learning and Knowledge Building Communities. In Lang, C., Siemens, G., Wise, A. F., and Gaevic, D., editors, The Handbook of Learning Analytics, pages 23\u201333. Society for Learning Analytics Research (SoLAR), Alberta, Canada, 1 edition.<\/span><\/p>\n\n
Knight, S. and Buckingham Shum, S. (2017). Theory and Learning Analytics. In Lang, C., Siemens, G., Wise, A. F., and Gaevic, D., editors, The Handbook of Learning Analytics, pages 17\u201322. Society for Learning Analytics Research (SoLAR), Alberta, Canada, 1 edition.<\/span><\/p>\n\n
Long and Siemens (2011). Penetrating the Fog: Analytics in Learning and Education. Educause Review. <https:\/\/er.educause.edu\/articles\/2011\/9\/penetrating-the-fog-analytics-in-learning-and-education>.<\/span><\/p>\n\n
Prinsloo, P. and Slade, S. (2017). Ethics and Learning Analytics: Charting the (Un)Charted. In Lang, C., Siemens, G., Wise, A. F., and Gaevic, D., editors, The Handbook of Learning Analytics, pages 49\u201357. Society for Learning Analytics Research (SoLAR), Alberta, Canada, 1 edition.<\/span><\/p>\n\n
1st International Conference on Learning Analytics and Knowledge, Banff, Alberta, February 27\u2013March 1, 2011, <https:\/\/tekri.athabascau.ca\/analytics\/>.<\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"2c4667dc-964b-415e-86b1-688836d94256"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""}],"slideBackgroundSelector":{}},{"elements":[{"x":3.361344537815126,"y":20.915001434171526,"width":94.42064862531366,"height":74.95015814483368,"action":{"library":"H5P.Table 1.1","params":{"text":"
\n\t\n\t\t\n\t\t\t\n\t\t\n\t\t\t
<\/th>\n\t\t\t <\/th>\n\t\t<\/tr>\n\t<\/thead>\n\t
<\/td>\n\t\t\t \n\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t
TYPE OF ANALYTICS<\/th>\n\t\t\t\t\t\t LEVEL OF ANALYSIS<\/th>\n\t\t\t\t\t\t WHO BENEFITS?<\/th>\n\t\t\t\t\t<\/tr>\n\t\t\t\t<\/thead>\n\t\t\t\t
Learning Analytics<\/td>\n\t\t\t\t\t\t \n\t\t\t\t\t\t
Course-level<\/strong>: social networks, conceptional development, discourse analysis, \" intelligent curriculum\"<\/div>\n\t\t\t\t\t\t<\/td>\n\t\t\t\t\t\t
Learners, facuity<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t\t
Departmental<\/strong>: predictive modelling, patterns of success \/ failure<\/td>\n\t\t\t\t\t\t Learners, facuity<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t\t
Academic Analytics<\/td>\n\t\t\t\t\t\t \n\t\t\t\t\t\t
Institutional:<\/strong> learner profiles, performance of academics, knowledge flow<\/div>\n\t\t\t\t\t\t<\/td>\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
Administrators, funders, marketing<\/div>\n\t\t\t\t\t\t<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t\t
Regional<\/strong> (state\/provincial): comparisons between systems<\/td>\n\t\t\t\t\t\t Funders, administrators<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t\t
National and international<\/strong><\/td>\n\t\t\t\t\t\t National governments, educational authorities<\/td>\n\t\t\t\t\t<\/tr>\n\t\t\t\t<\/tbody>\n\t\t\t<\/table>\n\t\t\t<\/td>\n\t\t<\/tr>\n\t<\/tbody>\n<\/table>\n"},"metadata":{"contentType":"Table","license":"U","title":"Untitled Table"},"subContentId":"a105759d-e7ed-482d-b76e-1f7883e81315"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":3.361344537815126,"y":2.9878573477387893,"width":94.42722526508918,"height":23.98405060634678,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
\u201cLearning analytics is more specific than academic analytics: the focus of the former is exclusively on the learning process...Academic analytics reflects the role of data analysis at an institutional level, whereas learning analytics centers on the learning process (which includes analyzing the relationship between learner, content, institution, and educator).\u201d<\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"7294851b-55fd-4bf1-bacb-53d0e9ab0bd4"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":95.27696085044383,"y":1.4990031628966738,"width":40,"height":40,"action":{"library":"H5P.Link 1.3","params":{"linkWidget":{"protocol":"https:\/\/","url":"er.educause.edu\/articles\/2011\/9\/penetrating-the-fog-analytics-in-learning-and-education"},"title":"--\u00a0George Siemens, Penetrating the Fog: Analytics in Learning and Education"},"metadata":{"contentType":"Link","license":"U"},"subContentId":"0a5a4b7e-4a55-4351-851b-033dc03819b3"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":true,"buttonSize":"small","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.93419376114883,"width":5.658389094244933,"height":10.059720286009803,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-608186a53a3bb.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"back","title":"back"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"7eec12db-a395-4028-a115-8a74571b9cce"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.63572043216368,"width":5.058953673474894,"height":10.001169222467059,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"previous","invisible":false,"title":"back"},{"x":94.11764705882352,"y":89.63572043216368,"width":5.724256671073578,"height":10.170976300759996,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-60818585b8017.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"next","title":"next"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"842216d9-7756-42b0-bafc-3c459a37e00b"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":92.43697478991596,"y":86.90930060235205,"width":7.536773109243698,"height":13.141911272588201,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"next","invisible":false,"title":"next"}],"slideBackgroundSelector":{}},{"elements":[{"x":5.042016806722689,"y":8.963572043216368,"width":89.36827159161427,"height":17.988037954760085,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Learning Analytics in action<\/span><\/strong><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"9537e4d7-ec6b-4fbc-8338-f128f3ac12a5"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":10.084033613445378,"y":26.890716129649107,"width":80.67226890756302,"height":14.934625681231475,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
Complete this survey<\/a> to see analytics in action.<\/strong>
\n(This link opens a Google Form a new browser window.)<\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"f3214d9a-86da-46d9-a747-70133f2649f7"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":10.084033613445378,"y":47.80571756382063,"width":80.67226890756302,"height":8.963572043216368,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
After you've completed this survey, consider:<\/strong><\/span><\/p>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"33bc93f8-14ff-49d5-b418-5c8792742f26"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":11.76470588235294,"y":56.769289607037,"width":78.99159663865547,"height":40.247334831245816,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
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What information would be helpful for you to have about your learners before your course starts?<\/span><\/li>\n\t
How would you use this data?<\/span><\/li>\n\t
Are there sources of information you already have access to that would help guide your course design and facilitation?<\/span><\/li>\n<\/ul>\n"},"metadata":{"contentType":"Text","license":"U","title":"Untitled Text"},"subContentId":"4db67495-2c63-4435-9505-a4a7a2e24ea1"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.93419376114883,"width":5.658389094244933,"height":10.059720286009803,"action":{"library":"H5P.Image 1.1","params":{"contentName":"Image","file":{"path":"images\/file-608186a53a3bb.png","mime":"image\/png","copyright":{"license":"U"},"width":1200,"height":1200},"alt":"back","title":"back"},"metadata":{"contentType":"Image","license":"U","title":"Untitled Image"},"subContentId":"d853f719-16d7-451a-9060-b6f06d35a754"},"alwaysDisplayComments":false,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"specified","invisible":false,"solution":""},{"x":0,"y":89.92524380915957,"width":6.722689075630252,"height":10,"goToSlide":1,"backgroundOpacity":0,"displayAsButton":false,"buttonSize":"big","goToSlideType":"previous","invisible":false,"title":"back"},{"x":80.67226890756302,"y":26.890716129649107,"width":40,"height":40,"action":{"library":"H5P.AdvancedText 1.1","params":{"text":"
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