Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
1997 …2024

Research activity per year

Personal profile

Research Interests

To construct intelligent pedagogical agents that draw on sophisticated artificial intelligence (AI) techniques and various highly interactive animation systems (e.g. the Web, VR/AR/XR) to support both social and cognitive interactions by providing adaptive learning paths and learning activities to cyber learner. To investigate how such agents can work together with human teachers in interacting and supporting cyber learners; and How to incorporate appropriate pedagogies and learning theories into such agents to increase learning (i.e., cognitive gains) while also improving motivation and student engagement.

Personal profile

Dr. Fuhua (Oscar) Lin is a Professor in Computing and Information Systems, Faculty of Science and Technology of Athabasca University (AU), Canada. He is an Invited Researcher of Waseda University of Japan. Dr. Lin obtained his PhD from Hong Kong University of Science and Technology in 1998. He did his postdoc at University of Calgary during 1998-1999 and was a research officer of National Research Council of Canada in 2000. Dr. Lin’s research interests include AI in education, intelligent tutoring systems, online learning, virtual reality, and multi-agent systems. He has more than 150 publications. He serves on the editorial boards for several international journals, e.g., Computers and Education: X-Reality; Online Learning. He is a senior member of IEEE and ACM. He served as Co-General Chair of IEEE International Conference on Cyber Science and Technology Congress 2020 and 2021. He served as Editor-In-Chief of International Journal of Distance Education Technologies (2008-2012).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

PhD, The Hong Kong University of Science and Technology

… → 1998

M.Sc., South China University of Technology

… → 1992

B.Sc., South China University of Technology

… → 1982

External positions

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Collaborations and top research areas from the last five years

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  • An AI-Learner Shared Control Model Design for Adaptive Practicing

    Yan, H., Lin, F. & Kinshuk, 2024, Generative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, Proceedings. Sifaleras, A. & Lin, F. (eds.). p. 272-280 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14798 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

  • Cognitive Engagement Detection of Online Learners Using GloVe Embedding and Hybrid LSTM

    Parmar, D., Dewan, M. A. A., Wen, D. & Lin, F., 2024, Generative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, Proceedings. Sifaleras, A. & Lin, F. (eds.). p. 15-26 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14799 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

  • Educational Knowledge Graph Creation and Augmentation via LLMs

    Jhajj, G., Zhang, X., Gustafson, J. R., Lin, F. & Lin, M. P. C., 2024, Generative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, Proceedings. Sifaleras, A. & Lin, F. (eds.). p. 292-304 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14799 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

  • Emotion Detection from Facial Expression in Online Learning Through Using Synthetic Image Generation

    Kabir, M. R., Dewan, M. A. A. & Lin, F., 2024, Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Degen, H. & Ntoa, S. (eds.). p. 202-216 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14735 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

  • Fast Weakness identification for adaptive feedback

    Morland, R., Wang, L. & Lin, O., 2024, p. 40-54.

    Research output: Contribution to conferencePaperpeer-review

    1 Citation (Scopus)