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

• 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.- ju, & 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.-M. Kyung, Y. Liu, & Y.-L. Lin (Eds.), Smart Sensors at the IoT Frontier (pp. 327-350). Springer Verlag. https://doi.org/10.1007/978-3-319-55345-0_13
• 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].
• 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].

Conference Paper

• Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks
  
  Sun, Z., Harit, A., Yu, J., Wang, J., & Liò, P. (in press). Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. Presented at International World Wide Web Conference 2025, Australia.
• 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.
• 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.
• Multiplayer Serious Games Supporting Programming Learning
  
  Wynn, A., Wang, J., Han, R., & Hsu, T.-C. (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.
• 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.
• 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.
• 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.
• 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.-F., & 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

Journal Article

• 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. 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. (in press). 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.- lee, 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
• 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