A selective reading list for instructors. Inclusion points to a useful contribution; it does not endorse every claim or product.
An October 20, 2026 panel asks how computer-science educators are changing curricula and teaching. Useful for comparing disciplinary responses, rather than borrowing a policy unchanged.
Official episode page, show notes and selected transcript passages inspected October 24, 2026. A practitioner conversation, not an effectiveness study. The broader podcast belongs in Teaching Discover.
Commentary on AI in work and education, with links to resources from Wharton. Read teaching proposals alongside the evidence for the particular task.
Official About page inspected October 24, 2026. Broader than psychology teaching. Inclusion does not verify every article or recommendation.
A dedicated AI-and-teaching stream from a faculty-development newsletter. Useful for following practical questions about course design, feedback and assessment.
Official About page and AI section inspected October 24, 2026. Individual posts have not all been reviewed. The general teaching newsletter remains a broader Teaching Discover resource.
Research and discussion about assessment, feedback and digital learning. The official center page identifies a genAI assessment project led by Margaret Bearman.
Official center description and linked genAI stream inspected October 24, 2026. A program of research is not one validated assessment solution.
The center’s linked video channel offers a route into seminars on assessment and digital learning. Select AI-related talks for this site.
Channel identity established through the official center’s outbound link; individual videos and current channel activity have not been inspected. No embedded feed or blanket endorsement.
A professional follow-up route from the podcast host’s own page. Use for discovery of educator discussions; confirm substantive claims at their original sources.
Owner-linked identity checked October 24, 2026. LinkedIn posts and activity were not directly inspected; no posting-frequency claim is made.
A starting point for explaining permitted assistance in relation to course goals. Adapt examples to actual local expectations and student access.
Official guide inspected October 24, 2026. Institutional design guidance, not a universal rule or a causal trial.
The department lists academic staff and research laboratories under this research area. Listed laboratories include the Laboratory of Neuropsychology and Human Neuroscience, the Social & Cognitive Neuroscience Laboratory, and the Machine-Augmented Cognition Laboratory (MAC lab).
This is a departmental research area and laboratory directory, not a separate department or degree. The field tags are editorial mappings from the listed neuroscience and neuropsychology laboratory names. Laboratory projects, computational methods, AI efficacy, admissions, and practice rights were not established.
Original inspection scope: Read the research-area heading, Academic Staff roster and complete Research Laboratories list. No individual laboratory, faculty profile or degree page was opened. The directory supports membership and names, not detailed laboratory methods or outcomes. No publication or revision date was shown.
Human Neuroscience and Artificial Intelligence - HKU - Department of Psychology
Original independent review: 2026-10-21; admit-with-corrections. This record identifies a departmental research area and its laboratory directory. It is not a recommendation of a degree or a claim about teaching efficacy.