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ChatGPT, Copilot, Gemini, SciSpace and Wolfram versus higher education assessments

* Currently the most-read AJEE journal paper of all time with 15,000+ views

** Currently, the most cited AJEE journal paper in the last 3 years

*** Currently, the 16th most cited AJEE journal paper of all time

After a multi-disciplinary and multi-institutional stress testing, Table 10 provides an overview of academic integrity risks, short and long term assessment security options, and GenAI integration opportunities. We also provide procedures for risk assessment. (2024)

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AI Assessment Security & Opportunity Matrix

ChatGPT versus engineering education assessment

The original 2023 study providing a benchmark of ChatGPT-3.5's capability to pass all assessments. A multi-disciplinary, multi-institutional study.

* Awarded the Best EJEE Journal Paper published in 2023

** Currently the 2nd most-read EJEE journal paper of all time with 38,000+ views

*** Currently, the most cited EJEE in the last 3 years

**** Currently, the 11th most cited EJEE journal paper of all time

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Project-work Artificial Intelligence Integration Framework (PAIIF)

Developed by 16 academics from 9 Australian universities, a framework for AI integration within project work, using a CDIO base is presented. A starting point for teachers, not knowing where to begin! (2025)

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Featured Journal Papers

Student identification of the social, economic and environmental implications of using GenAI

This study identified 32 ethical implications associated with GenAI use. The study discovers the limited ethical understanding students have. Students connect more with the positive implications. (2025)

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Implementing generative AI (GenAI) in higher education

A Systematic Literature Review of GenAI integration implementations in higher education. Analysed using Laurillard's Conversational Framework (LCF), the Substitution, Augmentation, Modification, and Redefinition (SAMR) framework and TPACK. (2024)

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Assessment integrity and validity in the teaching laboratory: adapting to GenAI

GenAI encourages greater authentic learning experiences, promoting learning objectives beyond the cognitive domain. However, this study identifies assessment validity concerns that need consideration. (2025)

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A SLR of attitudes, intentions and behaviours of teaching academics pertaining to AI and GenAI in higher education

This study uncovers the GenAI associated risks due to lack of policy and training, providing important recommendations. (2025)