Research outputs per year
Research outputs per year
Abstract
Research Background: The integration of GenAI into higher education has become a focal point of discussion among academics. However, many existing AI platforms lack transparency and fail to meet privacy standards, limiting their accessibility for educators, especially those in HASS disciplines. The "Safe-to-Fail AI" project, initiated in the second quarter of 2022 by equal contribution of Dr Armin Alimardani (UOW) and Associate Professor Emma Jane (UNSW), seeks to promote and implement the democratisation of AI across academic disciplines. The objectives of this project are twofold: 1. To provide free, user-friendly AI tools that eliminate the need for coding expertise, thereby enabling broader adoption and understanding of AI in educational settings. 2. To establish a platform for evaluating GenAI models for educational and research purposes independently of benchmarks provided by AI companies. The central research question driving this initiative is: How can open-source AI tools be designed, implemented, and assessed to enhance educational practices without incurring significant costs or requiring advanced technical skills for educators? The research is ongoing as AI models are constantly evolving.
| Original language | English |
|---|---|
| Media of output | Online |
| Publication status | Published - 2022 |
Research Statement
The objectives of this project are twofold:1. To provide free, user-friendly AI tools that eliminate the need for coding expertise, thereby enabling broader adoption and understanding of AI in educational settings.
2. To establish a platform for evaluating GenAI models for educational and research purposes independently of benchmarks provided by AI companies.
The central research question driving this initiative is: How can open-source AI tools be designed, implemented, and assessed to enhance educational practices without incurring significant costs or requiring advanced technical skills for educators? The research is ongoing as AI models are constantly evolving. Research Contribution and Significance: This project is the first to deliver a continually expanding suite of original, AI-driven educational and research applications to educators at no cost, predating the release of ChatGPT. It has played a pivotal role in raising awareness for many academics about the potential capabilities of GenAI models in educational contexts. The project’s impact includes:
- Publication of one academic article on capabilities of GenAI in education.
- Coverage in six media outlets.
- A widely-read article in The Conversation.
- Resulting in seven presentations.
- Engagement with 3,340 unique platform visitors.
- Integration of its GenAI applications into tutorials at UOW and UNSW, staff training sessions on GenAI at UOW, and an HDR workshop at UOW.
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GenAI and the mirage of personalised learning for all
Alimardani, A. & Jane, E. A., 26 May 2025, In: Law, Technology and Humans. 7, 2, p. 63-88 26 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)2 Downloads (Pure) -
Prompt Potential: A Pilot Assessment of Using Generative Artificial Intelligence (ChatGPT-4) as a Tutor for Engineering and Maths
Nikolic, S., Heath, A., Vu, B. A., Daniel, S., Alimardani, A., Sandison, C., Lu, X., Stappenbelt, B. & Hastie, D., 2024, SEFI 2024 - 52nd Annual Conference of the European Society for Engineering, Proceedings: Educating Responsible Engineers. Zufferey, J. D., Langie, G., Tormey, R. & Nagy, B. V. (eds.). European Society for Engineering Education (SEFI), p. 769-781 13 p. (SEFI 2024 - 52nd Annual Conference of the European Society for Engineering, Proceedings: Educating Responsible Engineers).Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review
3 Citations (Scopus)