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.

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.