Staff profile

Jingyun Wang joined the CS department of Durham University in September 2020. She is a member of Artificial Intelligence and Human Systems Group (AIHS) and a member of Pedagogical Innovation in Computer Science Group(PICS). She is also a core academic member of Centre For Neurodiversity & Development. She is a Fellow of the Higher Education Academy. Before joining Durham University, she was an Assistant Professor (2014-2020) at the Research Institute for Information Technology, Kyushu University, Japan. Her current research focuses on ontology, visualization learning support systems, meaningful learning environments, personalized language learning support systems, game-based learning, computational thinking education, data science, learning analytics, and AI_based learning support. 

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

Chapter in book

• 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
• 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
• 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
• 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., 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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., & 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
• 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., 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., 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. (in press). A topic map based learning management system to facilitate meaningful grammar learning: the case of Japanese grammar learning. Smart Learning Environments,
• 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

Presentation

• Nongkhai, L. N. A., Wang, J., & Mendori, T. (2023, December). An Adaptive Learning Support System based on Ontology of Multiple Programming Languages. Poster presented at ICCE 2023: The 31st International Conference on Computers in Education, Matsue, Shimane, Japan