Skip to main content
Overview
Affiliations
AffiliationRoom numberTelephone
Assistant Professor in the Department of Computer ScienceMCS 1031+44 (0) 191 33 42692

Biography

Before joining Durham University, Jingyun Wang 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, and educational big data and learning analytics. Her main contribution involves the integration of the traditional education methodologies with ontological techniques.

Research interests

  • Knowledge representation
  • Educational big data and learning analytics
  • Computational thinking education
  • Visualization learning support system
  • Game-based learning
  • Ontology technique

Publications

Chapter in book

  • Wang, Jingyun & Ogata, Hiroaki (2021). An Evaluation of a Meaningful Discovery Learning Support System for Supporting E-book User in Pair Learning. In Intelligent Tutoring Systems. 12677: 107.
  • Wang, Jingyun, Chao, Ching-ju & Liu, Likun (2020). The Learning Behaviors Analysis in a Language Learning Support System – A Pilot Study. In HCI International 2020 - Posters. 1225: 349.
  • Tamura, Kaori, Lu, Min, Konomi, Shin’ichi, Hatano, Kohei, Inaba, Miyuki, Oi, Misato, Okamoto, Tsuyoshi, Okubo, Fumiya, Shimada, Atsushi, Wang, Jingyun, Yamada, Masanori & Yamada, Yuki (2019). Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages. In Cross-Cultural Design. Culture and Society. 11577: 469.
  • Wang, Jingyun (2019). Ontology Technique and Meaningful Learning Support Environments. In Learning Technologies for Transforming Large-Scale Teaching, Learning, and Assessment. 215.
  • Konomi, Shin’ichi, Hatano, Kohei, Inaba, Miyuki, Oi, Misato, Okamoto, Tsuyoshi, Okubo, Fumiya, Shimada, Atsushi, Wang, Jingyun, Yamada, Masanori & Yamada, Yuki (2018). Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics Platforms and Beyond. In Distributed, Ambient and Pervasive Interactions: Technologies and Contexts. 10922: 82.
  • Ogata, Hiroaki, Oi, Misato, Mohri, Kousuke, Okubo, Fumiya, Shimada, Atsushi, Yamada, Masanori, Wang, Jingyun & Hirokawa, Sachio (2017). Learning Analytics for E-Book-Based Educational Big Data in Higher Education. In Smart Sensors at the IoT Frontier. 327.

Conference Paper

  • Valente, Andrea Marchetti, Emaneuala & Wang, Jingyun (2020), Design of an educational multimedia library to teach Python to non-technical university students, International Conference on Learning Technologies and Learning Environments (LTLE) 2020.
  • Wang, Jingyun & Yamada, Yuki (2020), What Should be Considered in Group Formation for Open-end Tasks?, International Conference on Learning Technologies and Learning Environments (LTLE) 2020.
  • Wang, Jingyun & Kojima, Kentaro (2018), Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics, 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI). 288.
  • Kaneko, Kosuke & Wang, Jingyun (2018), Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation, 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI). 256.
  • Wang, Jingyun, Flanagan, Brendan & Ogata, Hiroaki (2017), Semi-automatic Construction of Ontology Based on Data Mining Technique, 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). 511.
  • Wang, Jingyun, Ogata, Hiroaki & Shimada, Atsushi (2017), A meaningful discovery learning environment for e-book learners, 2017 IEEE Global Engineering Education Conference (EDUCON). 1158.
  • Wang, Jingyun, Ho, Hong-Fa & Ono, Yuichi (2016), Enhancing Personalized Feedback System by Visual Biometric Data Analysis, 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). 410.

Conference Proceeding

  • (2019). E-book learner behaviors difference under two meaningful learning support environments. the 27th International Conference on Computers in Education(ICCE 2019), Taiwan.

Journal Article

  • Wang, Jingyun, Hwang, Gwo-Haur & Chang, Ching-Yi (2021). Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications. Computers and Education: Artificial Intelligence 2: 100023.
  • Wang, Jingyun, Shimada, Atsushi, Oi, Misato, Ogata, Hiroaki & Tabata, Yoshiyuki (2020). Development and evaluation of a visualization system to support meaningful e-book learning. Interactive Learning Environments 1-18.
  • Jingyun, Wang & Kentaro, Kojima (2019). Exploring heterogeneous grouping strategies from the learning analytic perspective. International Journal of Learning Technologies and Learning Environments 2(2): 21-34.
  • Wang, Jingyun, Mendori, Takahiko & Hoel, Tore (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): 345.
  • Wang, Jingyun, Ogata, Hiroaki & Shimada, Atsushi (2016). A Knowledge Comparison Environment for Supporting Meaningful Learning of E-Book Users. Systems 4(2): 21.
  • Wang, Jingyun & Mendori, Takahiko (2015). The Reliability and Validity of Felder- Silverman Index of Learning Styles in Mandarin Version. Information Engineering Express 1(3): 1-8.
  • Wang, Jingyun, Mendori, Takahiko & Xiong, Juan (2014). A language learning support system using course-centered ontology and its evaluation. Computers & Education 78: 278.
  • Wang, Jingyun, Mendori, Takahiko & Xiong, Juan (2013). A Customizable Language Learning Support System Using Ontology-Driven Engine. International Journal of Distance Education Technologies 11(4): 81-96.