Staff profile

Jingyun Wang joined the CS department of Durham University in September 2020.  

Her research work focuses on harnessing the power of AI and HCI to drive innovation in the fields of education and digital health. With over 80 peer-reviewed publications, her research is regularly featured in the highest-impact venues of the field, from top-tier journals (Computer & Education, International Journal of Human-Computer Interaction (IJHCI), Interactive Learning Environment, Computer & Education: AI, etc.) to leading global conferences (WWW, AIED, and LAK, etc.).

She is a Fellow of the Higher Education Academy and a Mentor and Assessor for the Professional Recognition Pathway. She is a core academic member of the Centre for Neurodiversity & Development. She is a member of the Turing Interest Group on Knowledge Graphs. Before joining Durham University, she was an Assistant Professor (2014-2020) at the Research Institute for Information Technology and an associate faculty of the Learning Analytics Center, Kyushu University, Japan.  

Professional Activities

• Editorial board member for international journals: Computers & Education: Artificial Intelligence (Q1), Artificial Intelligence in Language Education, and International Journal of Mobile Learning and Organisation (Q1).
• Poster chair for the 2024 and 2025 International Conference on Artificial Intelligence in Education (AIED, core A), and as the chair of volunteers for AIED 2023 and AIED/EDM (Educational Data Mining) 2022.
• Sub-conference chair in the International Conference on Computers in Education (ICCE 2018 and ICCE 2021), and as a sub-conference co-chair in ICCE 2017, co-chair in ICCE 2022 SIG, etc.
• Executive Committee member of the Japan University ICT Promotion Council 2019 Annual Conference. 
• Organiser of Special Section: Learning support for a new educational paradigm, in the International Conference on Learning Technologies and Learning Environments for four years continuously (LTLE 2016- 2019).
• Session chairs and the PC committees for more than 10 international conferences, such as Learning Analytics and Knowledge (LAK) Conference and ICALT.

There are a couple of PhD vacancies in her research group, please make contact with a Research Proposal and a CV. 

Research groups:

• Artificial Intelligence and Human Systems Group (AIHS)

• Network Engineering Science and Theory Group (NESTID)

• Pedagogical Innovation in Computer Science Group(PICS)

Research Projects:

Jingyun Wang has been the Principle Investigator or Co-Investigator on several projects, with funding successes from the Japan Society for Promotion of Science(JSPS), Japan Science and Technology (JST), National Institute of Information and Communications Technology (NICT, Japan), Innovate UK, and industry, etc.

She led an international research team to develop an innovative multimedia Python library Medialib with motivating visual exercises that aid comprehension and application of programming basics. The Medialib’s official website(https://medialib.club/), has attracted users from over 100 countries, showcasing its broad international appeal.

Modules Taught:

• Introduction to Business Analytics (MSC Business Analytics Program), 
• Data Analytics in Action (MSC Business Analytics Program)
• Research Methods and Ethics in Computer Science (MSC Advanced Computer Science Program)
• Data Science

• AI_based feedback
• Computational thinking education
• Game-based learning
• Human-AI Collaboration
• AI-Enabled Cross-Cultural Understanding
• Knowledge representation
• Learning analytics
• Ontology technique
• Visualization systems
• Special educational needs support
• Digital health
• Applied AI

Chapter in book

• BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining
  
  Wynn, A., & Wang, J. (2023). BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining. In Artificial Intelligence in Education. https://doi.org/10.1007/978-3-031-36272-9_66
• MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning
  
  Wang, J., Hodgson, R., & Cristea, A. I. (2022). MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning. In S. Crossley & E. Popescu (Eds.), Intelligent Tutoring Systems (pp. 313-322). Springer Verlag. https://doi.org/10.1007/978-3-031-09680-8_29
• An AI-Based Feedback Visualisation System for Speech Training
  
  Wynn, A. T., Wang, J., Umezawa, K., & Cristea, A. I. (2022). An AI-Based Feedback Visualisation System for Speech Training. In M. Mercedes Rodrigo, N. Matsuda, A. I. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium (pp. 510-514). Springer Verlag. https://doi.org/10.1007/978-3-031-11647-6_104
• An Evaluation of a Meaningful Discovery Learning Support System for Supporting E-book User in Pair Learning
  
  Wang, J., & Ogata, H. (2021). An Evaluation of a Meaningful Discovery Learning Support System for Supporting E-book User in Pair Learning. In Intelligent Tutoring Systems (ITS 2021) (pp. 107-111). Springer Verlag. https://doi.org/10.1007/978-3-030-80421-3_13
• The Learning Behaviors Analysis in a Language Learning Support System – A Pilot Study
  
  Wang, J., Chao, C., & Liu, L. (2020). The Learning Behaviors Analysis in a Language Learning Support System – A Pilot Study. In HCI International 2020 - Posters. https://doi.org/10.1007/978-3-030-50729-9_50
• Ontology Technique and Meaningful Learning Support Environments
  
  Wang, J. (2019). Ontology Technique and Meaningful Learning Support Environments. In D. Sampson, J. M. Spector, D. Ifenthaler, P. Isaías, & S. Sergis (Eds.), Learning Technologies for Transforming Large-Scale Teaching, Learning, and Assessment (pp. 215-229). Springer Verlag. https://doi.org/10.1007/978-3-030-15130-0_11
• Learning Analytics for E-Book-Based Educational Big Data in Higher Education
  
  Ogata, H., Oi, M., Mohri, K., Okubo, F., Shimada, A., Yamada, M., Wang, J., & Hirokawa, S. (2017). Learning Analytics for E-Book-Based Educational Big Data in Higher Education. In H. Yasuura, C. Kyung, Y. Liu, & Y. Lin (Eds.), Smart Sensors at the IoT Frontier (pp. 327-350). Springer Verlag. https://doi.org/10.1007/978-3-319-55345-0_13
• Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics Platforms and Beyond
  
  Konomi, S., Hatano, K., Inaba, M., Oi, M., Okamoto, T., Okubo, F., Shimada, A., Wang, J., Yamada, M., & Yamada, Y. (n.d.). Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics Platforms and Beyond. In Distributed, Ambient and Pervasive Interactions: Technologies and Contexts [Contracted by publisher].
• Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages
  
  Tamura, K., Lu, M., Konomi, S., Hatano, K., Inaba, M., Oi, M., Okamoto, T., Okubo, F., Shimada, A., Wang, J., Yamada, M., & Yamada, Y. (n.d.). Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages. In Cross-Cultural Design. Culture and Society [Contracted by publisher].

Conference Paper

• MOTION-GUIDED SEMANTIC ALIGNMENT WITH NEGATIVE PROMPTS FOR ZERO-SHOT VIDEO ACTION RECOGNITION
  
  Wang, Y., Li, F. W., & Wang, J. (in press). MOTION-GUIDED SEMANTIC ALIGNMENT WITH NEGATIVE PROMPTS FOR ZERO-SHOT VIDEO ACTION RECOGNITION. Presented at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026), Barcelona, Spain.
• EmoBridge: Bridging Emotion Comprehension from Avatars to Human Faces for Individuals with Autism Spectrum Disorder
  
  Wang, J., Wynn, A., & Wood, R. (in press). EmoBridge: Bridging Emotion Comprehension from Avatars to Human Faces for Individuals with Autism Spectrum Disorder. Presented at International conference on Information and Communication Technologies for Ageing Well and e-Health, Benidorm, Spain.
• Beyond Weight Loss: Exploring Wellbeing and Lifestyle Outcomes in Digital Weight Management Interventions
  
  Zhao, M., Hadzidedic, S., Wang, J., Adeyemo, V. E., Concannon, S., Sirin-Ayva, A. B., & Westermann, G. (in press). Beyond Weight Loss: Exploring Wellbeing and Lifestyle Outcomes in Digital Weight Management Interventions. Presented at ICT4AWE 2026 - 12th International Conference on Information and Communication Technologies for Ageing Well and e-Health, Benidorm, Spain.
• Digital Weight Management Interventions: a review of commercial solutions and a survey analysis of user needs
  
  Hadžidedić, S., Wang, J., Adeyemo, V. E., Sanders, G., & Westermann, G. (in press). Digital Weight Management Interventions: a review of commercial solutions and a survey analysis of user needs. In Smart Innovation, Systems and Technologies. Springer.
• TREASURE: a cusTomisable seRious gamE frAmework for School cUltuRe lEarning
  
  Wang, Z., & Wang, J. (2026, January 26). TREASURE: a cusTomisable seRious gamE frAmework for School cUltuRe lEarning. Presented at CELDA 2025: Cognition and Exploratory Learning in Digital Age, Porto, Portugal.
• Unravelling Emotional Nuances: A Cross-Linguistic Analysis of Sentiment Differences in Multilingual Movie Versions
  
  Wynn, A., Wang, J., & Li, X. (2025). Unravelling Emotional Nuances: A Cross-Linguistic Analysis of Sentiment Differences in Multilingual Movie Versions. In Generative Intelligence and Tutoring Systems (pp. 102-115). Springer. https://doi.org/10.1007/978-3-031-98281-1_8
• A Learner-AI-Parent Collaboration Framework for Home Learning Environment
  
  Shang, Y., Wang, J., & Qi, X. (2025). A Learner-AI-Parent Collaboration Framework for Home Learning Environment. In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED (pp. 359-364). https://doi.org/10.1007/978-3-031-99261-2_37
• Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks
  
  Sun, Z., Harit, A., Yu, J., Wang, J., & Liò, P. (2025). Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. In WWW ’25: Companion Proceedings of the ACM on Web Conference 2025 (pp. 1316-1320). ACM. https://doi.org/10.1145/3701716.3715577
• Semi-supervised Speech Confidence Detection using Psuedo-labelling and Whisper Embeddings
  
  Wynn, A., Wang, J., & Tan, X. (2025). Semi-supervised Speech Confidence Detection using Psuedo-labelling and Whisper Embeddings. In Artificial Intelligence in Education. https://doi.org/10.1007/978-3-031-98465-5_34
• SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback
  
  Sun, Z., Wang, J., Alamri, A., & Cristea, A. (2025). SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback. In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED (pp. 328-335). https://doi.org/10.1007/978-3-031-99264-3_41
• Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials
  
  Wynn, A., Wang, J., & Valente, A. (2024). Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials. In ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2 (pp. 785-786). ACM. https://doi.org/10.1145/3649405.3659521
• Analysing Learner Behaviour in an Ontology-Based E-learning System: A Graph Neural Network Approach
  
  Wynn, A., Wang, J., Sun, Z., & Shimada, A. (2024, March 18 – 2024, March 22). Analysing Learner Behaviour in an Ontology-Based E-learning System: A Graph Neural Network Approach [Conference paper]. Presented at LAK ’24: The 14th Learning Analytics and Knowledge Conference, Kyoto, Japan.
• An Adaptive Learning Support System based on Ontology of Multiple Programming Languages
  
  Nongkhai, L. N. A., Wang, J., & Mendori, T. (2023). An Adaptive Learning Support System based on Ontology of Multiple Programming Languages. In ICCE Main Conference Proceedings - V1 (pp. 141-143). Asia-Pacific Society for Computers in Education (APSCE). https://doi.org/10.58459/icce.2023.958
• Multiplayer Serious Games Supporting Programming Learning
  
  Wynn, A., Wang, J., Han, R., & Hsu, T. (2023). Multiplayer Serious Games Supporting Programming Learning. In Proceedings of the 17th European Conference on Games Based Learning (pp. 721-729). Academic Conferences International Ltd. https://doi.org/10.34190/ecgbl.17.1.1621
• PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art
  
  Nagai, T., Klem, S., Kayama, M., Asuke, T., Meccawy, M., Wang, J., Cristea, A. I., Stewart, C. D., & Shi, L. (2023). PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art. Presented at 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait. https://doi.org/10.1109/educon54358.2023.10125184
• A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics
  
  Hodgson, R., Wang, J. W., Cristea, A., Matsuzaki, F., & Kubota, H. (2022). A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics (A. Mitrovic & N. Bosch, Eds.). International Educational Data Mining Society. https://doi.org/10.5281/zenodo.6853001
• Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry
  
  Hodgson, R., Wang, J., Cristea, A. I., & Graham, J. (2022). Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry. Presented at 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), Phuket, Thailand. https://doi.org/10.1109/iiai-aai-winter58034.2022.00018
• A Framework of Exercise Recommendation for Novice Learners in Computer Programming
  
  Na Nongkhai, L., Wang, J., & Mendori, T. (2021). A Framework of Exercise Recommendation for Novice Learners in Computer Programming (M. Mercedes, T. Rodrigo, S. Iyer, & A. Mitrovic, Eds.). Asia-Pacific Society for Computers in Education.
• What Should be Considered in Group Formation for Open-end Tasks?
  
  Wang, J., & Yamada, Y. (2020). What Should be Considered in Group Formation for Open-end Tasks? Presented at International Conference on Learning Technologies and Learning Environments (LTLE) 2020, Online.
• Design of an educational multimedia library to teach Python to non-technical university students
  
  Valente, A., Marchetti, E., & Wang, J. (2020). Design of an educational multimedia library to teach Python to non-technical university students. Presented at International Conference on Learning Technologies and Learning Environments (LTLE) 2020, Online.
• E-book learner behaviors difference under two meaningful learning support environments
  
  Wang, J. (2019, December 1). E-book learner behaviors difference under two meaningful learning support environments. Presented at the 27th International Conference on Computers in Education(ICCE 2019), Taiwan.
• E-book learner behaviors under meaningful learning modes
  
  Wang, J., Okubo, F., & Taniguchi, Y. (2018, December 7). E-book learner behaviors under meaningful learning modes. Presented at Multidisciplinary Academic Conference on Education, Teaching and Learning, Prague.
• Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics
  
  Wang, J., & Kojima, K. (2018). Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics. Presented at 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI), Yonago, Japan. https://doi.org/10.1109/iiai-aai.2018.00062
• Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation
  
  Kaneko, K., & Wang, J. (2018). Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation. Presented at 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI), Yonago, Japan. https://doi.org/10.1109/iiai-aai.2018.00056
• Semi-automatic Construction of Ontology Based on Data Mining Technique
  
  Wang, J., Flanagan, B., & Ogata, H. (2017). Semi-automatic Construction of Ontology Based on Data Mining Technique. Presented at 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Hamamatsu, Japan. https://doi.org/10.1109/iiai-aai.2017.202
• A meaningful discovery learning environment for e-book learners
  
  Wang, J., Ogata, H., & Shimada, A. (2017). A meaningful discovery learning environment for e-book learners. Presented at 2017 IEEE Global Engineering Education Conference (EDUCON), Athens, Greece. https://doi.org/10.1109/educon.2017.7942995
• Enhancing Personalized Feedback System by Visual Biometric Data Analysis
  
  Wang, J., Ho, H., & Ono, Y. (2016). Enhancing Personalized Feedback System by Visual Biometric Data Analysis. Presented at 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Kumamoto, Japan. https://doi.org/10.1109/iiai-aai.2016.231
• A Study of Learning Attitude and Motivation under Different Learning Object Recommendation Strategies from Learning Style Perceptive
  
  WANG, J., & MENDORI, T. (2015). A Study of Learning Attitude and Motivation under Different Learning Object Recommendation Strategies from Learning Style Perceptive. International Conference on Computers in Education. https://doi.org/10.58459/icce.2015.222
• Cache-Cache Comparison for Supporting Meaningful Learning
  
  Wang, J., & Seiji, F. (2015, October 24). Cache-Cache Comparison for Supporting Meaningful Learning. Presented at CELDA 2025: International Conference on Cognition and Exploratory Learning in the Digital Age, Greater Dublin, Ireland.
• An Evaluation of the Learning Attitude and Motivation in a Language Learning Support System
  
  Wang, J., & Mendori, T. (2015, July). An Evaluation of the Learning Attitude and Motivation in a Language Learning Support System. Presented at 2015 IEEE 15th International Conference on Advanced Learning Technologies (ICALT), Hualien, Taiwan. https://doi.org/10.1109/icalt.2015.30

Journal Article

• Lowering Novice Programming Barriers with Medialib: Studies of its Effectiveness and Transferability
  
  Wang, J., Wynn, A., Valente, A., Sun, D., & Marchetti, E. (in press). Lowering Novice Programming Barriers with Medialib: Studies of its Effectiveness and Transferability. Smart Learning Environments.
• Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
  
  Na Nongkhai, L., Wang, J., Wynn, A., & Mendori, T. (2026). Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system. Computers and Education: Artificial Intelligence, 10, Article 100526. https://doi.org/10.1016/j.caeai.2025.100526
• Leveraging China's SCIAP Initiative: How Digital Transformation Policies Reshape Supply Chain Performance Dynamics
  
  Chen, Y., Li, Q., Wang, J., Zhang, J., & Chen, D. (2026). Leveraging China’s SCIAP Initiative: How Digital Transformation Policies Reshape Supply Chain Performance Dynamics. Applied Economics. Advance online publication. https://doi.org/10.1080/00036846.2026.2632713
• SMARTEN: a human-AI hybrid framework for assisted medical literature analysis and its evaluation
  
  Wang, J., Hodgson, R., & Shigematsu Locatelli, M. (2026). SMARTEN: a human-AI hybrid framework for assisted medical literature analysis and its evaluation. BMC Medical Education. Advance online publication. https://doi.org/10.1186/s12909-026-08837-0
• Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction
  
  Liu, J., Sun, D., Sun, J., Wang, J., & Yu, P. L. H. (2025). Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction. Computers and Education: Artificial Intelligence, 9, Article 100438. https://doi.org/10.1016/j.caeai.2025.100438
• ELEGANCE: A customizable EducationaL gamE for foreiGn guArdians to understand japaNese sChool culturE
  
  Wang, Z., Li, X., & Wang, J. (2025). ELEGANCE: A customizable EducationaL gamE for foreiGn guArdians to understand japaNese sChool culturE. IIAI Letters on Informatics and Interdisciplinary Research, 6, Article LIIR416. https://doi.org/10.52731/liir.v006.416
• Development and Evaluation of Adaptive Learning Support System Based on Ontology of Multiple Programming Languages
  
  Na Nongkhai, L., Wang, J., & Mendori, T. (2025). Development and Evaluation of Adaptive Learning Support System Based on Ontology of Multiple Programming Languages. Education Sciences, 15(6), Article 724. https://doi.org/10.3390/educsci15060724
• A topic map based learning management system to facilitate meaningful grammar learning: the case of Japanese grammar learning
  
  Wang, J., Wynn, A., Mendori, T., & Hwang, G. (2024). A topic map based learning management system to facilitate meaningful grammar learning: the case of Japanese grammar learning. Smart Learning Environments, 11(1), Article 53. https://doi.org/10.1186/s40561-024-00338-1
• Partially-Supervised Metric Learning via Dimensionality Reduction of Text Embeddings using Transformer Encoders and Attention Mechanisms
  
  Hodgson, R., Wang, J., Cristea, A. I., & Graham, J. (2024). Partially-Supervised Metric Learning via Dimensionality Reduction of Text Embeddings using Transformer Encoders and Attention Mechanisms. IEEE Access, 12, 77536-77554. https://doi.org/10.1109/access.2024.3403991
• MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model
  
  Sun, Z., Harit, A., Cristea, A. I., Wang, J., & Lio, P. (2023). MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model. AI Open, 4, 165-174. https://doi.org/10.1016/j.aiopen.2023.10.002
• Development and evaluation of a visualization system to support meaningful e-book learning
  
  Wang, J., Shimada, A., Oi, M., Ogata, H., & Tabata, Y. (2023). Development and evaluation of a visualization system to support meaningful e-book learning. Interactive Learning Environments, 31(2), 836-853. https://doi.org/10.1080/10494820.2020.1813178
• Evaluation and Influencing Factors of China’s Agricultural Productivity from the Perspective of Environmental Constraints
  
  Chen, Y., Fu, W., & Wang, J. (2022). Evaluation and Influencing Factors of China’s Agricultural Productivity from the Perspective of Environmental Constraints. Sustainability, 14(5), Article 2807. https://doi.org/10.3390/su14052807
• A Visualization System to Support Meaningful E-book Learning
  
  Wang, J., & Mendori, T. (2021). A Visualization System to Support Meaningful E-book Learning. The Institute of Electronics, Information and Communication Engineers.
• Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications
  
  Wang, J., Hwang, G., & Chang, C. (2021). Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100023
• Exploring heterogeneous grouping strategies from the learning analytic perspective
  
  Wang, J., & Kentaro, K. (2019). Exploring heterogeneous grouping strategies from the learning analytic perspective. International Journal of Learning Technologies and Learning Environments, 2(2), 21-34.
• Strategies for Multimedia Learning Object Recommendation in a Language Learning Support System: Verbal Learners Vs. Visual Learners
  
  Wang, J., Mendori, T., & Hoel, T. (2018). Strategies for Multimedia Learning Object Recommendation in a Language Learning Support System: Verbal Learners Vs. Visual Learners. International Journal of Human–Computer Interaction, 35(4-5). https://doi.org/10.1080/10447318.2018.1543085
• A Knowledge Comparison Environment for Supporting Meaningful Learning of E-Book Users
  
  Wang, J., Ogata, H., & Shimada, A. (2016). A Knowledge Comparison Environment for Supporting Meaningful Learning of E-Book Users. Systems, 4(2). https://doi.org/10.3390/systems4020021
• The Reliability and Validity of Felder- Silverman Index of Learning Styles in Mandarin Version
  
  Wang, J., & Mendori, T. (2015). The Reliability and Validity of Felder- Silverman Index of Learning Styles in Mandarin Version. Information Engineering Express, 1(3), 1-8.
• A language learning support system using course-centered ontology and its evaluation
  
  Wang, J., Mendori, T., & Xiong, J. (2014). A language learning support system using course-centered ontology and its evaluation. Computers & Education, 78. https://doi.org/10.1016/j.compedu.2014.06.009
• A Customizable Language Learning Support System Using Ontology-Driven Engine
  
  Wang, J., Mendori, T., & Xiong, J. (2013). A Customizable Language Learning Support System Using Ontology-Driven Engine. International Journal of Distance Education Technologies, 11(4), 81-96. https://doi.org/10.4018/ijdet.2013100106

Patent

• A System and method for teaching mathematics through Adaptive Scaffoldings support
  
  Sun, D., Wang, J., Chou, K. L., & Lan, Y. (2024). A System and method for teaching mathematics through Adaptive Scaffoldings support (Patent).

Presentation

• AI-Driven Feedback for Enhancing Students' Mathematical Problem-Solving: The ScaffoldiaMyMaths System
  
  Sun, D., Wang, J., Yang, L., Chou, K., Song, Z., & Zheng, Z. (2024). AI-Driven Feedback for Enhancing Students’ Mathematical Problem-Solving: The ScaffoldiaMyMaths System. International Conference on Computers in Education [Poster]. https://doi.org/10.58459/icce.2024.5054
• Knowledge map creation for modeling learning behaviors in digital learning environments
  
  Flanagan, B., Majumdar, R., Akçapınar, G., Wang, J., & Ogata, H. (2019, March 4 – 2019, March 8). Knowledge map creation for modeling learning behaviors in digital learning environments. Presented at The International Conference on Learning Analytics & Knowledge, USA.