EHR Grant Meeting

2020-08-14 EHR Grant Meeting

TOPIC: Automatic evaluation of a student’s STEM learning profile to understand her STEM persistence

• learning analytics for assessment of learning, particularly with respect to learning as framed in cognitive, sociocultural, and critical terms
  • Perspective from literacies: What is retention? retention in what?
  • Poor results for predicting retention suggest we may have the wrong construct.
  • Concern about behavioral economics framing, suggests superficial solutions and ignores subjective aspects of problem.
• learning analytics for prediction of future participation in a community
• long-term trajectories of computer science learners

Rhetorical positioning of the assessment: could this be a problem? The “authoritative voice” of analytics. (LS) complexity of racial identification…, performance of diversity…

Proposed changes: - Centering LS concepts: learner trajectories, learner identities, learning ecosystems. - Participatory design, participatory technology. - Who will see this? - How will it communicate? - Consider, for example, CARTA.

SREYASEE - 1 year, teaching assistant professor - Using machine learning analytics in interactive fashion

QUALITY OF CONSTRUCTS / QUALITY OF METHODS - computational methods, big data lets us have both. RETENTION / SUBJECTIVE PARTICIPATORY RESEARCH RHETORIC OF ASSESSMENT

Maybe by next week can we have a two-page draft ready?

NOTES ON REVISION

– Yes, maybe behavioral economics, but also possibly this gets creepy. – Therefore, we need a participatory team of graduate students from the population under study.