2025 International Conference on AI for Higher Education (AI4HE)
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2025 International Conference on AI for Higher Education (AI4HE)

 

 

You are warmly invited to participate in the International Conference on AI for Higher Education (AI4HE). Facilitated by the Human-AI Collaborative Knowledgebase for Education and Research (HACKER) and the AI Literacy Lab, the conference provides an opportunity to share knowledge of AI in Higher Education, network with peers and participate in practical workshops.

 

Conference theme: Artificial Intelligence for Research (AI4R)

Date: 26 and 27 November 2025
Time: 9.00 am – 5.00 pm (AEST) 
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Location: Online via Zoom – link provided after registration.
Hosting: University of Southern Queensland (UniSQ) and UCSI University

Abstracts (150-200 words) due by 5.00 pm (AEST) on 20 June 2025.
Registration for attendance only due by 5.00 pm (AEST) on 25 November 2025.

 

To register for attendance only or submit an abstract, please click 'next' below. Participation is free.

 

Each presentation will be allocated 15 minutes, with discussion following each session. Conference presentations can take a variety of formats, including but not limited to:

  • Conceptual papers
  • Research ideas/proposals
  • Methodology papers
  • Sharing research data
  • Debates
  • Provocations
  • Empirical papers

The conference is open to all topics related to the theme. Here are some ideas for potential topics:  

  • What constitutes AI literacy for researchers today?
  • How can we effectively embed AI literacy into research training and higher education curricula?
  • What new methodological possibilities or tensions arise when generative AI is integrated into the research process?
  • How do we ethically use generative AI in research without compromising scholarly integrity, originality, trustworthiness, and rigour?
  • Who gets to decide what constitutes ‘authorship’ or ‘contribution’ when generative AI tools are involved in the production of knowledge?
  • How does the use of generative AI in research reshape our understanding of the researcher’s role, voice, and epistemic authority?
  • What does it mean to ‘position oneself’ in relation to a generative AI tool? Is it a collaborator, instrument, co-author, or something else entirely?
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