File: Assessment of Learning
Evaluating humans in the age of AI: A backward-design approach to assessing student-AI collaborative work
Kiera’s
Recommendation
This presentation foregrounds student voices on AI collaboration and assessment, revealing fundamental tensions between evaluating individual contributions versus the collaboration itself—and demonstrating how assessment criteria must evolve regardless of which approach instructors choose.
Mega-Sotl Investigation of Artificial Intelligence in Teaching and Learning: Student Perspectives
Authors: Kiera Allison, Charlotte Hoopes, Gianluca Guadagni, Katya Koubek, Breana Bayraktar, Dayna Henry, Jess Taggart
- How can we effectively measure and assess the cognitive work of students within their AI collaborations?
- How do students perceive their role and contribution within ai-assisted projects?
File