Maiga Chang, PhD

Professor

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
1998 …2024

Research activity per year

Personal profile

Research Interests

Dr. Chang’s research directions are Machine Learning/Natural Language Processing, Data Analytics Service and Game-based Learning. His Machine Learning/Natural Language Processing research not only allows computers read and process the text-based materials to obtain information that is required for making summary for users’ questions (Ask4Summary, https://ask4summary.vipresearch.ca/), but also enables teachers and students easily creating chatbots for students who don't have background in terms of natural language processing concepts and techniques as well as programming skills. His Data Analytics research focus on the design of algorithms and methodologies for item generation (for quizzes and exams), learning activity generation, behaviour pattern extraction from sequential data and preference prediction and recommendation service. The Personalized Study Guide (https://studyguide.vipresearch.ca/) is research aiming to enable an open-source learning management system (i.e., Moodle) to provide students with a personalized study guide for their online learning by via the use of graph structures to analyze the learning objects in an online course and compare the learning behaviours, strategies, and preferences of individual students studying online. Three open-source Moodle plugins have been developed, reviewed, approved, and included in Moodle plugins directory. On the Game-based Learning direction, his research continuously designs games for teaching, learning, rewards, and assessment. For instances, different games (including 3D, mobile and role-playing games) have been designed and developed to help students learning various topics, including botany, culture and history, finance, programming, management information systems, and meta-cognitive skills. His Trading Card Game (TCG, https://tcg.game-server.ca/) and the use of In-game Card as Educational Reward (ICER, http://maiga.athabascau.ca/#icer) research also inspired Trinity Primary School in the United Kingdom to develop "Character Clash!" to encourage children to read more. The Multiplayer Educational Game for All (MEGA World, https://megaworld.game-server.ca/) is a web-based massively multiplayer educational game platform which supports any languages and is capable of access any existing external resources (e.g., multimedia, materials, online meetings, etc.). Teachers can create their virtual worlds as well as create learning and assessment activities (i.e., quests in the game) for students. Students can learn specific knowledge and reach the learning goal by taking and solving those quests while playing.

Personal profile

Dr. Maiga Chang is IEEE Senior Member and his research areas mainly focus on natural language processing; computational intelligence; artificial intelligence; data mining; game-based learning, training and assessment; learning behaviour analysis; learning analytics and academic analytics; intelligent agent technology; health informatics; museum education mobile learning and ubiquitous learning; healthcare technology, etc. Dr. Chang has been Chair (2018~2023) of IEEE Technical Committee of Learning Technology (TCLT, https://tc.computer.org/tclt), Executive Committee member (2021~2023) of IEEE Computer Society Special Technical Communities (https://www.computer.org/communities/special-technical-communities), Executive Committee member of Asia-Pacific Society for Computers in Education (2017~2024, APSCE, https://www.apsce.net/) and Global Chinese Society for Computing in Education (2016~2025, GCSCE, http://gcsce.org/), Vice President (2022~) of International Association of Smart Learning Environments (IASLE, http://iasle.net/), and Chair (2021~) of Educational Activities and Awards/Recognition Committee, IEEE Northern Canada Section. Dr. Chang is also a Steering Committee member (2020~) for International Conference on Intelligent Tutoring Systems (ITS, https://its2021.iis-international.org/). He has given more than 125 talks and lectures in different events and (co-)authored more than 240 edited books, book chapters, journal and international conference papers.

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
  • SDG 10 - Reduced Inequalities

Education/Academic qualification

PhD, Chung Yuan Christian University

… → 2002

M.Sc., Chung Yuan Christian University

… → 1998

B.Sc., Chung Yuan Christian University

… → 1996

External positions

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Collaborations and top research areas from the last five years

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  • A Generative Artificial Intelligence Empowered Chatbot: System Usability and Student Teachers’ Experience

    Nikou, S. A., Guliya, A., Van Verma, S. & Chang, M., 2024, Generative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, Proceedings. Sifaleras, A. & Lin, F. (eds.). p. 330-340 11 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

  • An Entity Extraction and Categorization Technique on Twitter Streams

    Narayanasamy, S. K. & Chang, M., 1 May 2024, In: International Journal of Information Technology and Decision Making. 23, 3, p. 1203-1228 26 p.

    Research output: Contribution to journalJournal Articlepeer-review

  • Generating Learning Sequences Using Contextual Bandit Algorithms

    Nguyen, L. M. D., Lin, F. & Chang, M., 2024, Generative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, Proceedings. Sifaleras, A. & Lin, F. (eds.). p. 320-329 10 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

    1 Citation (Scopus)
  • A Pilot Study of Preservice Teachers Accepting and Using Chatbots to Enhance CFL Education

    Lan, Y. J., Chung, F. L. & Chang, M., 2023, Innovative Technologies and Learning - 6th International Conference, ICITL 2023, Proceedings. Huang, Y.-M. & Rocha, T. (eds.). p. 260-267 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14099 LNCS).

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

  • Application of Generative Artificial Intelligence to Assessment and Curriculum Design for Project-Based Learning

    Wu, T. & Chang, M., 2023, 9th International Conference on Engineering and Emerging Technology, ICEET 2023. (9th International Conference on Engineering and Emerging Technology, ICEET 2023).

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