New publication from the CIRES team at The University of Queensland. Congratulations to PhD researcher Mehrnoush Mohammadi, Chief Investigators Assoc. Prof. Hassan Khosravi, Prof. Wojtek Tomaszewski, Centre Director Prof. Shazia Sadiq, and colleagues & co-authors Elham Tajik and Roberto Martinez-Maldonado. Full details & insights below.
“Delighted to share our newly published work, “Artificial Intelligence in Multimodal Learning Analytics: A Systematic Review,” in Computers & Education: Artificial Intelligence. We chart the evolving intersection of AI and Multimodal Learning Analytics (MMLA), providing the first comprehensive systematic review in this space. Huge Thanks to the ARC Training Centre for Information Resilience (CIRES) for supporting this work!
What We Did: We reviewed 686 records (2019–2024), synthesising 43 peer-reviewed studies to develop a structured framework for integrating AI in the MMLA pipeline—from data collection and pre-processing to modelling and feedback.
Key Insights:
► AI is transforming MMLA’s modelling and analysis layers, but links to pedagogy and impact on learning remain underdeveloped.
► Research is concentrated in higher education and lab settings, with limited focus on early learning, diverse stakeholders, or ecological validity.
► While AI enhances real-time feedback and insight generation, challenges like small sample sizes, generalisability, and transparency persist.
Forward: With the rapid rise of generative AI, new opportunities are emerging to advance MMLA, enabling richer feedback, adaptive interventions, context-aware support, and deeper insights into human learning.
What opportunities or risks do you see in embedding AI across multimodal learning environments?