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Students as co-creators: The development of student learning networks

Students as co-creators: The development of student learning networks

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Students as co-creators: The development of student learning networks

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  1. Students as co-creators: The development of student learning networks AlisonE. Kay and Judy Hardy HEA STEM Annual Conference, Birmingham, 17 April 2013

  2. Create multiple choice questions • Provide and explain solutions • Answer other students’ questions • Rate and comment on other students’ questions • Follow favourite authors • Retain complete anonymity PeerWise: Brief Outline HEA STEM Annual Conference, Birmingham, 17 April 2013 2

  3. The PeerWise Interface HEA STEM Annual Conference, Birmingham, 17 April 2013

  4. 2 assessments – 3 tasks in each PeerWise in Physics 1A 2012/13 • Write 1 question • Answer 5 questions • Rate and comment on 3 questions Total Contributions by end of the course from 276 students • 630 questions • 7156 answers • 4025 comments HEA STEM Annual Conference, Birmingham, 17 April 2013 4

  5. Benefits of PeerWise for students Promotion of deeper learning: question writing and explaining answers imposes a high cognitive load Creation of a bank of questions to test knowledge and understanding Opportunity to engage with a wider network than in traditional offline academic settings. HEA STEM Annual Conference, Birmingham, 17 April 2013

  6. Network Analysis: A Novel Approach Visualise and describe the network Metrics NOT available using traditional analysis New way of thinking about HOW PeerWise is being used and how to exploit relationships HEA STEM Annual Conference, Birmingham, 17 April 2013 6

  7. Network Analysis: 2 Mode Network Questions 1 2 3 4 Students A B C HEA STEM Annual Conference, Birmingham, 17 April 2013 7

  8. 2 Mode Questions and Answers Network 8

  9. Question Ego-network 1 EASY QUESTION 17 students (A) DIFFICULT QUESTION 17 students (B) HEA STEM Annual Conference, Birmingham, 17 April 2013 9

  10. Question Ego-network 2 EASY QUESTION 17 students (A) answered 268 other questions Other questions seem less difficult: green squares generally smaller DIFFICULT QUESTION 17 students (B) answered 420 other questions Other questions seem more difficult: green squares generally bigger

  11. Student Answering Patterns LOWEST PERFORMING STUDENT 35% for final exam Answered 7 questions MEDIUM PERFORMING STUDENT 68% for final exam Answered 18 questions HIGHEST PERFORMING STUDENT 97% for final exam Answered 152 questions HEA STEM Annual Conference, Birmingham, 17 April 2013 11

  12. Network Analysis: 1 Mode Network Students A B C A Students B C HEA STEM Annual Conference, Birmingham, 17 April 2013 12

  13. 1 Mode Student Answers and Comments Density: 57% (100) Diameter: 2 (255) HEA STEM Annual Conference, Birmingham, 17 April 2013 13

  14. Student ego-networks – answers and comments Degree Centrality: 62% Betweenness: 0.001 Degree Centrality: 43% Betweenness 0.000 Degree Centrality: 99% Betweenness: 0.007 LOWEST PERFORMING STUDENT 35% for final exam Answered 7 questions 118 students with one question in common (43%) MEDIUM PERFORMING STUDENT 68% for final exam Answered 18 questions 170 students with one question in common (62%) HIGHEST PERFORMING STUDENT 97% for final exam Answered 152 questions 271 students with one question in common (99%) HEA STEM Annual Conference, Birmingham, 17 April 2013 14

  15. 1 Mode Comments Only Network Density: 28% (100) Diameter: 3 (255) HEA STEM Annual Conference, Birmingham, 17 April 2013 15

  16. Student ego-networks – comments Degree Centrality: 30% Betweenness: 0.003 Degree Centrality: 10% Betweenness0.000 Degree Centrality: 15% Betweenness: 0.000 LOWEST PERFORMING STUDENT 35% for final exam Wrote 3 comments 25 students with at least question in common (10%) HIGHEST PERFORMING STUDENT 97% for final exam Wrote 24 comments 83 students with one question in common (30%) MEDIUM PERFORMING STUDENT 68% for final exam Wrote 5 comments 41 students with one question in common (15%) HEA STEM Annual Conference, Birmingham, 17 April 2013 16

  17. Conclusions Initial results show both networks to be equitable Clear differences between the comment only network and the comment and answer network Network analysis provides rich, qualitative data Complements traditional statistical analysis of performance and usage data HEA STEM Annual Conference, Birmingham, 17 April 2013

  18. Next Steps? Replicate analyses whilst normalising data to account for number of questions answered or number of times question answered. Incorporate network metrics with more traditional analyses Characterise the nature of the interactions between students – qualitative analysis of comments HEA STEM Annual Conference, Birmingham, 17 April 2013

  19. Acknowledgements Judy Hardy, Ross Galloway Paul Denny School of Physics and Astronomy All participating students HEA STEM Annual Conference, Birmingham, 17 April 2013