Conference paper
Integrating AI in Online Discussion Tools: A Critical Perspective
ACIS 2025 Proceedings, pp.1-14
Australasian Conference on Information Systems (ACIS), 36th (Sunshine Coast, Australia, 01-Dec-2025–05-Dec-2025)
Australasian Association for Information Systems (AAIS)
2025
Abstract
Online engagement and discussion empower student learning, but existing tools vary widely in their design and effectiveness. This paper critiques three categories of online discussion tools used in higher education: social media platforms (e.g., Facebook), purpose-built educational platforms (e.g., Piazza), and bespoke institutional solutions (e.g., Casper). Each category has distinct strengths and weaknesses, particularly in relation to scale, anonymity, and alignment with pedagogy. We analyse these categories through user stories, platform features, and comparative analysis, before considering how artificial intelligence (AI) might enhance them. While AI offers promise in moderation, summarisation, and engagement prediction, it also raises concerns of privacy, bias, and sustainability.
Details
- Title
- Integrating AI in Online Discussion Tools: A Critical Perspective
- Authors
- Shazi Saremi - University of the Sunshine CoastMohsen Dokhanchi - The University of QueenslandErica Mealy - University of the Sunshine CoastRania Shibl - University of the Sunshine Coast
- Publication details
- ACIS 2025 Proceedings, pp.1-14
- Conference details
- Australasian Conference on Information Systems (ACIS), 36th (Sunshine Coast, Australia, 01-Dec-2025–05-Dec-2025)
- Publisher
- Australasian Association for Information Systems (AAIS)
- Date published
- 2025
- Copyright note
- © 2025 Dokhanchi, Saremi, Mealy & Shibl. This is an open-access article licensed under a Creative Commons Attribution-Non-Commercial 4.0 International License, which permits noncommercial use, distribution, and reproduction in any medium, provided the original author and ACIS are credited.
- Grant note
- School of Mechanical and Mining Engineering, University of Queensland
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991214551702621
- Output Type
- Conference paper
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