1 / 38

Core Methods in Educational Data Mining

Exploring various analytical methods such as Principal Component Analysis, Learning Factors Analysis, Q-Matrix Method, and others in educational data mining. Comparison of results, tools used, and outcomes shared. Analyzing the benefits and drawbacks of each method in solving educational data problems.

hhunter
Download Presentation

Core Methods in Educational Data Mining

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Core Methods in Educational Data Mining HUDK4050Fall 2015

  2. Assignment C3

  3. Assignment C3 • Who here used principal component analysis?

  4. Assignment C3 • Who here used principal component analysis? • One person come up here and explain your solution • How did you do it? • What tool did you use? • What was your final result?

  5. Did anyone else • Use the same method • Get a different answer • What was your answer? • What did you do differently?

  6. Assignment C3 • Who here used a different type of factor analysis? (Not including LFA) • One person come up here and explain your solution • How did you do it? • What tool did you use? • What was your final result?

  7. Did anyone else • Use another factor analysis method • Get a different answer • What was your answer? • What did you do differently?

  8. Assignment C3 • Who here used Learning Factors Analysis? • One person come up here and explain your solution • How did you do it? • What tool did you use? • What was your final result?

  9. Did anyone else • Use the same method • Get a different answer • What was your answer? • What did you do differently?

  10. Assignment C3 • Who here used Barnes’s Q-Matrix method? • One person come up here and explain your solution • How did you do it? • What tool did you use? • What was your final result?

  11. Did anyone else • Use the same method • Get a different answer • What was your answer? • What did you do differently?

  12. Assignment C3 • Who here used Knowledge Spaces or Partial Order Knowledge Spaces? • One person come up here and explain your solution • How did you do it? • What tool did you use? • What was your final result?

  13. Did anyone else • Use the same method • Get a different answer • What was your answer? • What did you do differently?

  14. Assignment C3 • Who here used Non-Native Matrix Factorization?

  15. Assignment C3 • Who here used Non-Native Matrix Factorization? • Really?

  16. Assignment C3 • Who here used Non-Native Matrix Factorization? • Really? • How did you set it up?

  17. Assignment C3 • Did anyone use a different method than any of these? • What did you use? • How did it work?

  18. The true answer…

  19. Why… • Did folks use the methods they used? • Did folks not use the other methods?

  20. Easy to use tools matter, right?

  21. What are… • The pluses and minuses of PCA for this problem?

  22. What are… • The pluses and minuses of other FA for this problem?

  23. What are… • The pluses and minuses of LFA for this problem?

  24. What are… • The pluses and minuses of Barnes’s method for this problem?

  25. What are… • The pluses and minuses of KS/POKS for this problem?

  26. Any other questions or comments on the assignment?

  27. What could I have changed about the assignment… • That would have made LFA the obviously best approach to solving it?

  28. What could I have changed about the assignment… • That would have made KS/POKS the obviously best approach to solving it?

  29. What are the relative benefits of using a q-matrix versus a knowledge space?

  30. What are the consequences of getting a knowledge mapping wrong?

  31. What are the relative advantages of • Automatic model discovery • Hand-development and refinement • Hybrid approaches

  32. What does a spike in a learning curve mean? (Distinct from MBMLM)

  33. What is the trade-off • Between Knowledge Spaces • And Bayes Nets • ?

  34. Other questions or comments?

  35. Assignment B5 • Social Network Analysis

  36. Next Class • Thursday, October 29 • Assignment B5 due • Baker, R.S. (2014) Big Data and Education. Ch. 5, V5. • Haythornthwaite, C. (2001) Exploring Multiplexity: Social Network Structures in a Computer-Supported Distance Learning Class. The Information Society: An International Journal, 17 (3), 211-226 • Dawson, S. (2008) A study of the relationship between student social networks and sense of community. Educational Technology & Society, 11(3), 224-238. • Gasevic, D., Zouaq, A., & Janzen, R. (2013). "Choose Your Classmates, Your GPA Is at Stake!": The Association of Cross-Class Social Ties and Academic Performance. American Behavioral Scientist.

  37. The End

More Related