~/panel

Ethics in L@S

on YouTube 01h 12m
Panelat Learning at Scale 2020 · 2020-08-12..08-14· [privacy-and-compliance]

speakers

name:Candace Thille
links:none on file
name:Ellen Wagner
links:none on file
name:Stephanie Teasley
links:none on file
name:Sidney D’Mello
links:none on file

resources

video:https://youtu.be/2CXogRWTuKA
slides:none on file

summary

Panel discussion explains how campuses and vendors handle learner data with concrete frameworks and examples: building a PAR federated dataset that became Starfish retention software, Ottawa-style campus guiding principles (respect, transparency, accountability, empowerment, continuous consideration), use of LMS logs, video/audio and location concerns, and claims that analyses find a gateway STEM grade penalty larger for women. Watch if procedural details, data sources, and mitigation steps (pre-registration, subgroup checks, OSF templates) matter.

AI-written summary · about

chapters (10)

  1. 0:00Introduction and welcome
  2. 1:11Panelist introductions
  3. 3:20Ethical use of learner data
  4. 15:22Informed consent and transparency
  5. 21:46Beyond data: systemic racism in education
  6. 30:10Ethical obligations in research and practice
  7. 40:03Unintended consequences of AI in education
  8. 51:02Profiling and support for at-risk students
  9. 56:01Research guidelines and accountability
  10. 1:08:47Closing remarks and next steps

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