Generative Artificial Intelligence (GenAI) is here to stay in the higher education sector. The integration of GenAI tools in engineering education courses is happening at all institutions across the world. Research into the impact of GenAI on students’ learning and their perception is of critical interest in contemporary higher education. With new technologies and GenAI capabilities evolving so fast, this project investigates the insights from diverse stakeholders including pitfalls, challenges and misconceptions on the use of GenAI through multiple lens (students, educators, industry and more...).
School
Chemical Engineering
Research Area
Engineering education research (Chemical Engineering Education Research Team, ChEER)
Suitable for recognition of Work Integrated Learning (industrial training)?
No
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
Desktop analysis that is, no laboratory requirements. Data analysis, evaluation using mix-methods approaches (qualitative and quantitative) aspects, exploaring engineering education including theoretical frameworks and thematic analysis.
- Paper manuscript and presentation to stakeholders.
- ChatGPT versus engineering education assessment: a multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity, which looks at 2023 GenAI performance on different types of assessments, across diverse cohorts, units, and disciplines through use of ChatGPT3.5 as the tool. Recording breaking paper (one of the first of this study type).
- ChatGPT, Copilot, Gemini, SciSpace and Wolfram versus Higher Education Assessments: An Updated Multi-Institutional Study of the Academic Integrity Impacts of Generative Artificial Intelligence (GenAI) on Assessment, Teaching and Learning in Engineering, which looks at evolving performance of GenAI less than a year from the initial study through use of multiple GenAI tools.