2014 05 uys learning analytics

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Learning Analytics in an Era of Digitisation: Adaptation for better learning in Higher Education

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2014 05 uys learning analytics

  1. 1. DIVISION OF STUDENT LEARNING Learning Analytics in an Era of Digitisation: Adaptation for better learning in Higher Education Assoc Prof Philip Uys (Director Strategic Learning and Teaching Innovation) puys@csu.edu.au Interactive presentation at eLearning Africa, Kampala, Uganda May 2014 Slides available from http://www.slideshare.net/puys/2014-05-uys-learning-analytics
  2. 2. DIVISION OF STUDENT LEARNING The following slides provide a framework for the planned interactive session. A detailed version will be used during the session. P
  3. 3. DIVISION OF STUDENT LEARNING Acknowledgements • Simon Welsh, Senior Learning Analytics Officer, CSU • Learning Analytics Working Party, CSU P
  4. 4. DIVISION OF STUDENT LEARNING Overview A. Introduction to learning analytics B. Learning analytics in higher education C. Learning analytics @ CSU D. Learning analytics principles E. Unpacking a model for learning analytics in higher education P
  5. 5. DIVISION OF STUDENT LEARNING A. Introduction to learning analytics • Definitions • Learning analytics and academic analytics • Areas • Adaptation • Agency: staff and students • Technical infrastructure • Examples P
  6. 6. DIVISION OF STUDENT LEARNING Q & A & Workout
  7. 7. DIVISION OF STUDENT LEARNING B. Learning analytics in higher education • Drivers • Level of maturity • Growing field • Factors • Fragmentation • The role of LMSs • External educational technologies P
  8. 8. DIVISION OF STUDENT LEARNING Q & A & Workout
  9. 9. DIVISION OF STUDENT LEARNING C. Learning analytics @ CSU • CSU context • Strategy • At risk students • Smart learning • Ed tech stats • Framework and Plan • Theoretical model of student engagement • BB Analytics • Roles • Governance • Indicators of success P
  10. 10. DIVISION OF STUDENT LEARNING Q & A & Workout
  11. 11. DIVISION OF STUDENT LEARNING D. Learning analytics principles • Student success • Varied use • Proximity • Multi-dimensional • People focus • The trust principle • Ethics • Broad stakeholder engagement: systemic • Evolutionary P
  12. 12. DIVISION OF STUDENT LEARNING Q & A & Workout
  13. 13. DIVISION OF STUDENT LEARNING E. Unpacking a model for learning analytics in higher education 1. Student success 2. Driver domains 3. Organisational design and dynamics i. Levels ii. Metrics and Methods iii. Emergent Feedback and Reporting iv.Agents 4. Intervention, Adaptation and Evaluation 5. Model dynamics P
  14. 14. DIVISION OF STUDENT LEARNING Q & A & Workout
  15. 15. DIVISION OF STUDENT LEARNING Thank You Assoc Prof Philip Uys (Director Strategic Learning and Teaching Innovation) puys@csu.edu.au May 2014 Slides available from http://www.slideshare.net/puys/2014-05-uys-learning-analytics
  16. 16. DIVISION OF STUDENT LEARNING References Siemens, G. (2012). Learning analytics: new insight or new buzzword? ACODE webinar. October 2012 Society for Learning Analytics Research (SoLAR) http://www.solaresearch.org/ .......

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