Staff profile

Jingyun Wang joined the CS department of Durham University in September 2020.  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. Before joining Durham University, she was an Assistant Professor (2014-2020) at the Research Institute for Information Technology, Kyushu University, Japan.  

Professional Activities

• Editorial board member for international journals: Computers & Education: Artificial Intelligence, Artificial Intelligence in Language Education, and International Journal of Mobile Learning and Organisation.
• 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)
• 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. 

• AI_based feedback
• Computational thinking education
• Game-based learning
• Knowledge representation
• Learning analytics
• Ontology technique
• Visualization learning support system
• Special educational needs support
• Digital health
• Applied AI

Chapter in book

• Tamura, K., Lu, M., Konomi, S., Hatano, K., Inaba, M., Oi, M., Okamoto, T., Okubo, F., Shimada, A., Wang, J., Yamada, M., & Yamada, Y. Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages. In Cross-Cultural Design. Culture and Society. https://doi.org/10.1007/978-3-030-22580-3_35
• Konomi, S., Hatano, K., Inaba, M., Oi, M., Okamoto, T., Okubo, F., Shimada, A., Wang, J., Yamada, M., & Yamada, Y. Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics Platforms and Beyond. In Distributed, Ambient and Pervasive Interactions: Technologies and Contexts. https://doi.org/10.1007/978-3-319-91131-1_6
• 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
• 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 (313-322). Springer Verlag. https://doi.org/10.1007/978-3-031-09680-8_29
• 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 (510-514). Springer Verlag. https://doi.org/10.1007/978-3-031-11647-6_104
• 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) (107-111). Springer Verlag. https://doi.org/10.1007/978-3-030-80421-3_13
• Wang, J., Chao, C.-J., & 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
• 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 (215-229). Springer Verlag. https://doi.org/10.1007/978-3-030-15130-0_11
• 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.-M. Kyung, Y. Liu, & Y.-L. Lin (Eds.), Smart Sensors at the IoT Frontier (327-350). Springer Verlag. https://doi.org/10.1007/978-3-319-55345-0_13

Conference Paper

• Wang, J. (2019, December). E-book learner behaviors difference under two meaningful learning support environments. Presented at the 27th International Conference on Computers in Education(ICCE 2019), Taiwan
• Hadžidedić, S., Wang, J., Adeyemo, V. E., Sanders, G., & Westermann, G. (2025, June). Digital Weight Management Interventions: a review of commercial solutions and a survey analysis of user needs. Presented at KES-InMed 2025: 13th International KES Conference on Innovation in Medicine and Healthcare, Solin, Croatia
• Wynn, A., Wang, J., & Valente, A. (2024, July). Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials. Presented at ITiCSE 2024: Innovation and Technology in Computer Science Education, Milan, Italy
• Wynn, A., Wang, J., Sun, Z., & Shimada, A. (2024, March). Analysing Learner Behaviour in an Ontology-Based E-learning System: A Graph Neural Network Approach. Paper presented at LAK '24: The 14th Learning Analytics and Knowledge Conference, Kyoto, Japan
• Wynn, A., Wang, J., Han, R., & Hsu, T.-C. (2023, October). Multiplayer Serious Games Supporting Programming Learning. Presented at ECGBL 2023: 17th European Conference on Games Based Learning, Enschede, Netherlands
• Nagai, T., Klem, S., Kayama, M., Asuke, T., Meccawy, M., Wang, J., Cristea, A. I., Stewart, C. D., & Shi, L. (2023, May). 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
• Hodgson, R., Wang, J. W., Cristea, A., Matsuzaki, F., & Kubota, H. (2022, July). A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics. Presented at 15th International Conference on Educational Data Mining, Durham, England
• Hodgson, R., Wang, J., Cristea, A. I., & Graham, J. (2022, December). 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
• Na Nongkhai, L., Wang, J., & Mendori, T. (2021, November). A Framework of Exercise Recommendation for Novice Learners in Computer Programming. Presented at ICCE 2021: The 29th International Conference on Computers in Education, Online
• Valente, A., Marchetti, E., & Wang, J. (2020, September). 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
• Wang, J., & Yamada, Y. (2020, September). What Should be Considered in Group Formation for Open-end Tasks?. Presented at International Conference on Learning Technologies and Learning Environments (LTLE) 2020, Online
• Wang, J., & Kojima, K. (2018, July). 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
• Kaneko, K., & Wang, J. (2018, July). 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
• Wang, J., Flanagan, B., & Ogata, H. (2017, July). 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
• Wang, J., Ogata, H., & Shimada, A. (2017, April). A meaningful discovery learning environment for e-book learners. Presented at 2017 IEEE Global Engineering Education Conference (EDUCON), Athens, Greece
• Wang, J., Ho, H.-F., & Ono, Y. (2016, July). Enhancing Personalized Feedback System by Visual Biometric Data Analysis. Presented at 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Kumamoto, Japan

Journal Article

• Wang, J., Wynn, A., Mendori, T., & Hwang, G.-J. (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
• 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
• 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
• 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
• 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
• Wang, J., Hwang, G.-H., & Chang, C.-Y. (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
• Wang, J., & Kentaro, K. (2019). Exploring heterogeneous grouping strategies from the learning analytic perspective
• 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
• 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
• Wang, J., & Mendori, T. (2015). The Reliability and Validity of Felder- Silverman Index of Learning Styles in Mandarin Version
• 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
• 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

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

Presentation

• Sun, D., Wang, J., Yang, L., Chou, K.-L., Song, Z., & Zheng, Z. (2024, November). AI-Driven Feedback for Enhancing Students' Mathematical Problem-Solving: The ScaffoldiaMyMaths System. Poster presented at International Conference on Computers in Education, Philippines
• Nongkhai, L. N. A., Wang, J., & Mendori, T. (2023, December). An Adaptive Learning Support System based on Ontology of Multiple Programming Languages. Presented at ICCE 2023: The 31st International Conference on Computers in Education, Matsue, Shimane, Japan