Publications

Yizhou Fan, Lixiang Yan, Inge Molenaar, Samuel Greiff, and Dragan Gasevic. A Metacognitive Approach to Learning and Performance in Human-AI Interaction. OSF, 2026.

Tinghui Li, Ruilin Liu, Juno A Kim, Eduardo Velloso, Anusha Withana, and Zhanna Sarsenbayeva. A Survey on Situational Impairments Research in Mixed Reality. Available at SSRN 6310739, 2026.

Zhiping Liang, Kaixun Yang, Lele Sha, Dragan Gašević, Lixiang Yan, and Guanliang Chen. A systematic review of generative AI in education: Empirical insights from a human–AI interaction perspective. British Journal of Educational Technology, 2026.

Lixiang Yan and Dragan Gašević. Agentivism: a learning theory for the age of artificial intelligence. arXiv preprint arXiv:2604.07813, 2026.

Stanislav Pozdniakov, Jonathan Brazil, Seyyed Kazem Banihashem, Omid Noroozi, Dragan Gašević, Shazia Sadiq, and Hassan Khosravi. AI assistance in peer feedback provision: Pedagogically sound, but minimally adopted. Computers & Education, 105591, 2026.

Gabriel Lau, Caresse Liow, Dragan Gasevic, and Andree Hartanto. AI Learning Strategies Scale: Development and validation for individual differences in self-regulated learning with AI. OSF, 2026.

Ruiwei Xiao, Shan Zhang, Xinying Hou, Ying-Jui Tseng, Qianou Ma, Yash Tadimalla, Qing Xiao, Jionghao Lin, Bo Jiang, John Stamper, and Kenneth R. Koedinger. AI Literacy For All: 2nd International Workshop on AI Literacy Education For All. AIED'26 International Conference on Artificial Intelligence in Education, 44-50, 2026.

Lan Yang, Zi Yan, Chee Kit Looi, Ming Ming Chiu, and Dragan Gasevic. AI-assisted feedback: students’ feedback perceptions, emotions, actions, and literacies. Educational Psychology 46 (1), (i)-(viii), 2026.

Yuchen Liu, Roberto Martinez-Maldonado, Dwi Rahayu, Dragan Gasevic, and Sadia Nawaz. AI-Driven Analytics of Team Teaching: Understanding and Supporting Teachers’ Spatial Pedagogy Behaviours. International Conference on Artificial Intelligence in Education, 274-280, 2026.

John Ian Wilzon T Dizon, Norman B Mendoza, Dragan Gasevic, and Fraide A Ganotice Jr. Assessing AI-driven metacognitive offloading: Initial development and validation of the Metacognitive Laziness Scale. ECNU Review of Education 9 (2), 20965311261450994, 2026.

Jason M Lodge, Paula de Barba, Louise Ainscough, Jonathan R Brazil, Jaclyn Broadbent, Daniel Ebbert, Sarah Frankland, Florence Gabriel, Dragan Gašević, Ted Hennicke, Lisa-Angelique Lim, Sally A Male, Negin Mirriahi, Eduardo A Oliveira, Helena Pacitti, Mladen Raković, Joanne Russell, Daniel Taylor-Griffiths, and Suijing Yang. Assuring quality learning in a gen AI-integrated future: The role of adaptive capabilities. Tertiary Education Quality and Standards Agency, 2026.

Yujing Zhang, Xianghui Meng, and Jionghao Lin*. Augmenting Knowledge Tracing With Self-Regulated Learning Indicators for Reliable Skill-Mastery Estimation. L@S'26 Proceedings of the Thirteenth ACM Conference on Learning@ Scale, 373-384, 2026.

Xianghui Meng and Jionghao Lin. AURA-Trace: Auditable Provenance-Aware Synthetic Release of Campus IoT Time Series for Privacy-Preserving AI4Science. IEEE Internet of Things Journal, 2026.

Xianghui Meng, Yujing Zhang, and Jionghao Lin*. AutoKT: Using LLMs to Estimate Item Difficulty for Knowledge Tracing. AIED'26 International Conference on Artificial Intelligence in Education …, 2026.

Daniel Rosa, Andreza Falcão, Jamilla Lobo, Everton Souza, Moésio Wenceslau Silva Filho, Dragan Gasevic, Rafael Ferreira Mello, and Luiz Rodrigues. Automated Assessment of Handwritten Math Problems: A Comparison of Prompting Strategies for Open and Closed-source LLMs. Proceedings of the LAK26: 16th International Learning Analytics and …, 2026.

Linxuan Zhao, Vanessa Echeverria, Dragan Gašević, Lixiang Yan, Riordan Alfredo, Xinyu Li, and Roberto Martinez-Maldonado. Automated multimodal visual analytics of social and epistemic dimensions in team communication for reflective practice in healthcare simulation. Computers & Education, 105655, 2026.

Lin Li, Namrata Srivatava, Jia Rong, Quanlong Guan, Dragan Gašević, and Guanliang Chen. Beyond binary outcomes: Evaluating and mitigating bias in national standardized test score prediction. Computers and Education: Artificial Intelligence, 100585, 2026.

Naping Chen, Xiaoyu Zhao, Luzhen Tang, Mengyu Xia, Zijian Li, Jiaqi Xu, Xinyu Li, Mingxue Xu, Liping Lv, Oudong Xia, Changmin Lin, Ligia Maria Cayres Ribeiro, Marco Antonio de Carvalho Filho, Dragan Gašević, Danijela Gasevic, and Yizhou Fan. Beyond Socratic Questioning: Designing GenAI-mediated Metacognitive Scaffolding for Clinical Reasoning in Medical Education. Publication, 2026.

Wei Koh HJ, C Trin, Z Ademi, E Zomer, D Berkovic, PC Miranda, B Gibson, JS Bell, J Ilomäki, D Liew, C Reid, S Lybrand, D Gasevic, A Earnest, and S Talic. BRIDGE: a barrier-informed Bayesian Risk prediction model for risk IDentification, trajectory Grouping, and profiling of non-adherencE to cardioprotective medicines in primary care. Publication, 2026.

Hassan Khosravi, Dragan Gasevic, Shazia Sadiq, Lixiang Yan, Jason Lodge, Jason Tangen, Paul Denny, Kristen DiCerbo, Simon Buckingham Shum, and Ryan S Baker. Building AI Companions that Prioritise Learning over Performance. arXiv preprint arXiv:2605.04816, 2026.

Yujing Zhang and Jionghao Lin*. Building Regulation Capacity in Human-AI Collaborative Learning: A Human-Centred GenAI System. AIED'26 (DC) International Conference on Artificial Intelligence in Education, 2026.

Gloria M Fernandez-Nieto, Vanessa Echeverria, Yuheng Li, Yi-Shan Tsai, Lele Sha, Guanliang Chen, Dragan Gašević, and Zachari Swiecki. Capturing and sharing know-how through visual process representations: a human-Centred approach to teacher workflows. Behaviour & Information Technology, 1-30, 2026.

Eason Chen, Sophia Judicke, Kayla Beigh, Xinyi Tang, Isabel Wang, Nina Yuan, Zimo Xiao, Chuangji Li, Shizhuo Li, Reed Luttmer, Shreya Singh, Maria Yampolsky, Naman Parikh, Yvonne Zhao, Meiyi Chen, Scarlett Huang, Anishka Mohanty, Gregory Johnson, John Mackey, Jionghao Lin, and Ken Koedinger. Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learning. AIED'26 International Conference on Artificial Intelligence in Education, 2026.

Xinyu Li, Kaixun Yang, Jiameng Wei, Yixin Cheng, Dragan Gašević, and Guanliang Chen. Dataset of GenAI-Assisted Information Problem Solving in Education. arXiv preprint arXiv:2601.12718, 2026.

Naping Chen, Luzhen Tang, Yang Liu, Changmin Lin, Zijian Li, Chujun Shi, Mengyu Xia, Dragan Gasevic, Danijela Gasevic, Jinbin Zheng, Yizhou Fan, and Xinyu Li. Developing and Validating a Coding Scheme for Clinical Reasoning in History Taking Using Generative AI–Based Virtual Patients: Systematic Text Condensation Approach. JMIR Medical Education 12 (1), e84347, 2026.