Moral Instruction Will Not Stop Cheating
Reframing misconduct around incentives and learning.
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Reframing misconduct around incentives and learning.
Rich learning support alongside high-stakes proctoring.
Furze proposes two contextual questions: is this a good use of the technology, and of the learner’s own thinking? He examines accessibility, outsourcing and assessment, questioning whether fixed categories capture individual needs.
Course purposes and faculty working conditions belong together.
The proposed restriction concerns independent general-purpose AI use, not all instructional software.
The critique asks whether interest-driven writing loses opportunities to consolidate curriculum knowledge.
Hanyang and Liushou discuss moving from an unfamiliar topic to a syllabus, search terms and original sources.
Student choice within shared course goals.
Talbert argues that changing tasks without changing grading leaves a core incentive problem untouched.
Disclosure as a question of educational relationships.
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An index of research, practice, policy and debate on AI in education, across universities, schools and families, with the original source and date for every entry.