LAk12: Baker’s Educational Data Mining

Thoughts and information captured from Ryan Baker’s Presentation as part of LAK12 videocast:

  • Educational Data Mining: improve research, improving learning models (Journal of Ed Psychology). It predicts the future. Change the future [tough for me to digest, maybe should say: change the future failure into success rather than change the future]
  • Resources: Journal of EDM, Intl EDM Society
  • EDM & LAK:
  • Similarities: understand learning through study of large data; improving education and research; drives planning, decision making and manual/automated intervention.
  • Differences:
  • LAK=include automated discovery, EDM=putting human judgement in the automated discovery [still confusing to me]
  • LAK=understand the system, EDM=focus on components and the relationship between them
  • LAK=inform instructors and learners, EDM=automated adaptation
  • LAK=focus on needs of multiple stakeholders; EDM=focus on model generalization
  • EDM Methods: Prediction (classification, regression, density estimation), Clustering [I oppose this], Relationship mining [I relate to this], Distillation, Discovery [I need to know more about it to align it to my research and interest].
  • Knowledge Engineering [?]
  • Vision: predict student success based on analysing data generated by the students. Data obtained from: course selection data, cognitive tutor log data, grade data, AST data, Khan Academy log, State Std exams, SAT Career interest, Strong Interest Inventory, MSLQ Survey. [missing soft data like intelligence indicators, interest indicators, strengths indicators, stimuli profiling, communication profiling, etc… will they be handled by LAK?]
  • https://pslcdatashop.web.cmu.edu/
  • [I did not sense the drive to help students to discover their learning strengths although I have read a lot about changing students attitudes!]
  • Learning indicators: correctness or incorrectness,

References

Baker, R. (2011). https://sas.elluminate.com/p.jnlp?psid=2012-01-31.1003.M.0728C08DFE8BF0EB7323E19A1BC114.vcr&sid=2008104

Bibliography

  • http://www.educationaldatamining.org/
  • http://lak12.sites.olt.ubc.ca/
  • https://pslcdatashop.web.cmu.edu/

Interesting Slides

Slide 29: Sample of correlation between behaviour and EDM indicators

Slide 30: Sample of correlation between action and gaming