Learning Analytics and Visualisation of Data Erwin Bomas Kennisnet [email protected] @ebomas Learning Analytics and Visualisation of Data Overview Masterclass • What is Learning Analytics (LA)? – What.
Download ReportTranscript Learning Analytics and Visualisation of Data Erwin Bomas Kennisnet [email protected] @ebomas Learning Analytics and Visualisation of Data Overview Masterclass • What is Learning Analytics (LA)? – What.
Learning Analytics and Visualisation of Data Erwin Bomas Kennisnet [email protected] @ebomas 2 Learning Analytics and Visualisation of Data Overview Masterclass • What is Learning Analytics (LA)? – What are current examples of LA? • What is the role of visualisation? • Workshop – opportunities for LA: – What to analyze? – How to visualise? • What does LA imply for the role of the teacher? 8 EEN PAARIS VOORBEELDEN … WHAT LEARNING ANALYTICS? Learning Analytics definitions • Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs (LAK 2011) • LA is about collecting traces that learners leave behind and using those traces to improve learning (Duval, LAK 2012) http://dougclow.org/2011/02/28/the-learning-analytics-cycle/ 13 Examples of data that can be used Data Generated by LMS Data Generated by Instructor Number of Times Resource Accessed Grades on Discussion Forum Date and Time of Access Grades on Assignment Number of Discussion Posts Generated Grades on Tests Number of Discussion Posts Read Final Grades Types of Resource Accessed Number (and Type) of Questions Asked in a Discussion Forum … Number of Emails Sent to Instructor … Source: Dietz-Uhler & Hurn, Journal of Interactive Online Learning (2013) 15 OPTIMIZING LEARNING BY USING DATA IS APPLICABLE TO THE PRIMARY PROCESS (LEARNING AND TEACHING) AS WELL AS THE SECONDARY PROCESS (ORGANIZATION OF LEARNING) Analytics on 3 levels EXAMPLES EEN PAAR VOORBEELDEN … Example 1: Math Garden (NL) 22 Garden Center - Analytics Example 2: Khan Academy Khan student dashboard Khan teacher dashboard Example 3: Knewton 27 28 Example 4: PulseOn (NL) 29 • 2000 students and 200 teachers, with a vision that each student is unique but with “middle of the road” course materials • Three-phase approach of implementation of a ”personalized learning platform” • Students, teachers and management are reported to be very positive and expanding the use of the platform 30 Example 5: Learnbeat (NL) 31 Example 6: Cum Laude / Magnaview Summary • Rapid development – a lot of new initiatives every year • Mostly new players – traditional textbook publishers are not in the forefront • Using both embedded and extracted analytics 33 EEN PAAR VOORBEELDEN … DATA VISUALISATION www.worldmapper.org 35 Worldmapper.org 36 Worldmapper.org 37 Worldmapper.org 38 39 Billion dollar-o-gram (McCandless) 40 41 42 43 44 45 46 47 48 http://listen.hatnote.com/ 49 50 The River of Myths… • https://www.youtube.com/watch?v=OwII-dwh-bk 51 LA: two approaches (Duval & Verbert, 2012) • Educational Data Mining • Information visualization 52 Two approaches for Learning Analytics • Educational Data Mining – big data, business analytics • Information visualization – Quantified Self 53 Two approaches for Learning Analytics • Educational Data Mining – big data, business analytics – What data do you have available? • Information visualization – Quantified Self – What are the needs of the learner/teacher? How can this be visualized? – What data is needed? 54 EEN PAAR VOORBEELDEN THE ROLE OF THE… TEACHER IN LA The teacher as a data analist? 64 Research issues (Duval & Verbert, 2012) 1. 2. 3. 4. What are meaningful traces? How to visualise? Beware for eye candy Assessing learning impact is hard ‘Become what you measure’ (compare to teaching to the test) 5. Handling huge data sets 6. Privacy 7. Enslaving instead of empowering 66 Work Package 4: Schools – Objectives • Bring together disparate communities with related interests • Capture and disseminate the latest thinking on learning analytics in practice • Analyse significant developments and issues in the domain and produce reports • Identify, collect and synthesise claims and evidence for the benefits of learning analytics 67 68 www.laceproject.eu @laceproject Main references • • • • • • • • • • http://www.laceproject.eu/blog/infographic-learning-analytics/ http://dougclow.org/2011/02/28/the-learning-analytics-cycle http://eleed.campussource.de/archive/8/3336 https://lirias.kuleuven.be/bitstream/123456789/315113/1 http://www.worldmapper.org http://seealso.org/ http://www.informationisbeautiful.net http://www.gapminder.org/videos/the-river-of-myths/ http://blog.profitbricks.com/39-data-visualization-tools-for-big-data/ http://www.kennisnet.nl/fileadmin/contentelementen/kennisnet/mbo/Publicaties/Publi catie_Big_data.pdf (Nederlands) [email protected] @ebomas This work was undertaken as part of the LACE Project, supported by the European Commission Seventh Framework Programme, grant 619424. These slides are provided under the Creative Commons Attribution Licence: http://creativecommons.org/licenses/by/4.0/. Some images used may have different licence terms. 69