output
20182026
most citedThe AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment

239 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2024Show all

9 papers · 1 filter

cs.CY2024★ 30 cited

Research Integrity and GenAI: A Systematic Analysis of Ethical Challenges Across Research Phases

Sonja Bjelobaba, Lorna Waddington, Mike Perkins +3

Background: The rapid development and use of generative AI (GenAI) tools in academia presents complex and multifaceted ethical challenges for its users. Earlier research primarily…

cs.CY2024★ 21 cited

The AI Assessment Scale Revisited: A Framework for Educational Assessment

Mike Perkins, Jasper Roe, Leon Furze

Recent developments in Generative Artificial Intelligence (GenAI) have created significant uncertainty in education, particularly in terms of assessment practices. Against this bac…

cs.CY2024★ 10 cited

Generative AI in Self-Directed Learning: A Scoping Review

Jasper Roe, Mike Perkins

This scoping review examines the current body of knowledge at the intersection of Generative Artificial Intelligence (GenAI) and Self-Directed Learning (SDL). By synthesising the f…

cs.CY2024★ 14 cited

Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysis

Jasper Roe, Mike Perkins

This scoping review examines the relationship between Generative AI (GenAI) and agency in education, analyzing the literature available through the lens of Critical Digital Pedagog…

cs.HC2024★ 10 cited

Generative AI Tools in Academic Research: Applications and Implications for Qualitative and Quantitative Research Methodologies

Mike Perkins, Jasper Roe

This study examines the impact of Generative Artificial Intelligence (GenAI) on academic research, focusing on its application to qualitative and quantitative data analysis. As Gen…

cs.CY2024★ 9 cited

The EAP-AIAS: Adapting the AI Assessment Scale for English for Academic Purposes

Jasper Roe, Mike Perkins, Yulia Tregubova

The rapid advancement of Generative Artificial Intelligence (GenAI) presents both opportunities and challenges for English for Academic Purposes (EAP) instruction. This paper propo…

cs.CY2024★ 32 cited

Deepfakes and Higher Education: A Research Agenda and Scoping Review of Synthetic Media

Jasper Roe, Mike Perkins

The availability of software which can produce convincing yet synthetic media poses both threats and benefits to tertiary education globally. While other forms of synthetic media e…

cs.CY2024★ 100 cited

GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education

Mike Perkins, Jasper Roe, Binh H. Vu +4

This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content that has been modified using techniques design…

cs.CY2024★ 78 cited

The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI supported assessment- A Preprint

Leon Furze, Mike Perkins, Jasper Roe +1

The rapid adoption of Generative Artificial Intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices, and student le…