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 …2023

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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 Approach to Generating Adaptive Feedback for Online Formative Assessment

    Lin, F. & De Silva, S., 2023, Augmented Intelligence and Intelligent Tutoring Systems - 19th International Conference, ITS 2023, Proceedings. Frasson, C., Mylonas, P. & Troussas, C. (eds.). p. 88-99 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13891 LNCS).

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

  • Improving Student Mental Health Through Health Objectives in a Mobile App

    Vinogradov, M., Chang, M., Lin, F. & Yan, Y., 2023, ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers. Papadopoulos, G. A., Achilleos, A., Pissaloux, E. & Velázquez, R. (eds.). p. 110-123 14 p. (Communications in Computer and Information Science; vol. 1799 CCIS).

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

  • Facilitating Geometry Learning Through Real-Time Collaborative Activities with Augmented Reality in Authentic Context

    Hwang, W. Y., Lin, Y. J., Hoang, A., Nurtantyana, R. & Lin, O., 2022, Innovative Technologies and Learning - 5th International Conference, ICITL 2022, Proceedings. Huang, Y-M., Cheng, S-C., Barroso, J. & Sandnes, F. E. (eds.). p. 79-87 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13449 LNCS).

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

  • Learning Optimal and Personalized Knowledge Component Sequencing Policies

    Lin, F., Howard, L. & Yan, H., 2022, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium - 23rd International Conference, AIED 2022, Proceedings. Rodrigo, M. M., Matsuda, N., Cristea, A. I. & Dimitrova, V. (eds.). p. 338-342 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13356 LNCS).

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

  • Removing barriers in self-paced online learning through designing intelligent learning dashboards

    Faramand, A., Yan, H., Dewan, M. A. A. & Lin, O., 20 Dec. 2022, Artificial Intelligence in STEM Education: The Paradigmatic Shifts in Research, Education, and Technology. p. 77-90 14 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review