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. 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, 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.

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 89 countries within 2 years, showcasing its broad international appeal.

• 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

• 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. 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
• 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. 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
• 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 (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 (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) (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.-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
• 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 (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.-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

• Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks
  Sun, Z., Harit, A., Yu, J., Wang, J., & Liò, P. (2025, April). Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. Presented at International World Wide Web Conference 2025, Australia
• E-book learner behaviors difference under two meaningful learning support environments
  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
• 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. (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
• Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials
  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
• 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). 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
• Multiplayer Serious Games Supporting Programming Learning
  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
• 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, 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
• A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics
  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
• 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, 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
• A Framework of Exercise Recommendation for Novice Learners in Computer Programming
  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
• Design of an educational multimedia library to teach Python to non-technical university students
  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
• What Should be Considered in Group Formation for Open-end Tasks?
  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
• Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics
  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
• Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation
  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
• Semi-automatic Construction of Ontology Based on Data Mining Technique
  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
• A meaningful discovery learning environment for e-book learners
  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
• Enhancing Personalized Feedback System by Visual Biometric Data Analysis
  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

• 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
• 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
• 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.-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
• 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
• Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications
  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
• Exploring heterogeneous grouping strategies from the learning analytic perspective
  Wang, J., & Kentaro, K. (2019). Exploring heterogeneous grouping strategies from the learning analytic perspective
• 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
• 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. (in press). A System and method for teaching mathematics through Adaptive Scaffoldings support

Presentation

• AI-Driven Feedback for Enhancing Students' Mathematical Problem-Solving: The ScaffoldiaMyMaths System
  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
• An Adaptive Learning Support System based on Ontology of Multiple Programming Languages
  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