LACE Spring Briefing - PELARS project overview

Presentation of the PELARS project by Manolis Mavrikis at the "Policies for Educational Data Mining and Learning Analytics" Briefing held on April 15 in Brussels.

1. Learning Analytics for Exploratory and Experiential Learning Potentials and Pitfalls

2. Support for Exploratory and Experiential Learning Constructionism Learning by doing hands-on laboratory experiments inquiry learning practice-based learning simulations microworlds serious games coding Exploratory and Experiential Learning 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 2

3. Exploratory Learning Environments 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 3

4. Examples from EU FP7 projects 15/04/2015 Lace Spring Briefing @ mavrikis @ eupelars 4

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8. Karkalas , S., & Gutierrez-Santos, S. (2014). Enhanced JavaScript Learning using Code Quality Tools and a Rule-based System in the FLIP Exploratory Learning Environment. In IEEE ICALT 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 8

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10. Similarities in practice-based learning across 3 contexts Flexible project choice Student-led authentic discipline-related questions Collaborative Support student self- assessment High school Engineering Interaction Design 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 10

11. SCENARIO High School: ‚Making musical instruments ‘ Secondary school year 10 ( familiar with physics sound principles) ~ 20 hours ‘ make a music instrument that transforms environmental sensing into sound using the PELARS toolkit .’ Workstations and material: Arduino kit + material to make sound , Visual IDE (PC), mobile documentation system D ocument process with the PELARS learning system Groups of 2 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 11

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14. What can LA offer ? Support the teacher/facilitator Increase learner awareness and encouraging reflection Learning how to learn (together) Learning how to make Help address research questions 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 14

15. Classroom dynamics 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 15

16. Goal achievement 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 16

17. Educational Data Mining and Visualisations 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 17

18. Bayesian networks from data degree of goal completeness time in related pages time spent on attempts n eed for help previous performance difficulty features class Mavrikis, 2010 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 18

19. Teacher Visualization 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 19

20. Barriers to achieving LA potential 15/04/2015 Lace Spring Briefing @mavrikis @eupelars 20