Our Students’ Humanity Is Worth Protecting: An Argument for GenAI Refusal
Time, emotions and moral judgements: how university students position GenAI within their study
The emergence of Generative AI (GenAI) in higher education has prompted considerable discussion within the research community. Despite their centrality, students’ perspectives remain underexplored....
Critical Thinking with AI Mode #31: Chocolate Memory
We reason about a a study showing chocolate improves memory.
S.E.C.U.R.E. GenAI Use Framework for Staff
Guiding university staff in making informed decisions about using GenAI software.
The Moral Hazards Of AI Are Closer Than You Realize
We're walking on a knife edge
“AI Models Don’t Understand, They Just Predict” – improving learning
Guides
Centre for Research in Assessment and Digital Learning
A scoping review on how generative artificial intelligence transforms assessment in higher education - International Journal of Educational Technology in Higher Education
Generative artificial intelligence provides both opportunities and challenges for higher education. Existing literature has not properly investigated how this technology would impact assessment in higher education. This scoping review took a forward-thinking approach to investigate how generative artificial intelligence transforms assessment in higher education. We used the PRISMA extension for scoping reviews to select articles for review and report the results. In the screening, we retrieved 969 articles and selected 32 empirical studies for analysis. Most of the articles were published in 2023. We used three levels—students, teachers, and institutions—to analyses the articles. Our results suggested that assessment should be transformed to cultivate students’ self-regulated learning skills, responsible learning, and integrity. To successfully transform assessment in higher education, the review suggested that (i) teacher professional development activities for assessment, AI, and digital literacy should be provided, (ii) teachers’ beliefs about human and AI assessment should be strengthened, and (iii) teachers should be innovative and holistic in their teaching to reflect the assessment transformation. Educational institutions are recommended to review and rethink their assessment policies, as well as provide more inter-disciplinary programs and teaching.
OpenAI’s Sora Is Plagued by Sexist, Racist, and Ableist Biases
WIRED tested the popular AI video generator from OpenAI and found that it amplifies sexist stereotypes and ableist tropes, perpetuating the same biases already present in AI image tools.