Adam Wynn

The list below of all publications is semi-automatically generated and is correct to the best of my knowledge.

• [Preprint] A Semi-Supervised Framework for Speech Confidence Detection using Whisper
  Wynn, A. & Wang, J. IEEE Transactions on Affective Computing. Under review.
  [PDF] [BibTeX] Google Scholar ResearchGate DRO
• Lowering Novice Programming Barriers with MediaLib: Studies of its Effectiveness and Transferability
  Wang, J., Wynn, A., Valente, A., Sun, D., & Marchetti, E. (2026). Smart Learning Environments. Accepted (in press).
  [PDF] [BibTeX] Google Scholar ResearchGate DRO
• EmoBridge: Bridging Emotion Comprehension from Avatars to Human Faces for Individuals with Autism Spectrum Disorder
  Wang, J., Wynn, A., & Wood, R. (2026). ICT4AWE 2026. Accepted (in press).
  [PDF] [BibTeX] Google Scholar ResearchGate DRO
• Evaluating Adaptive and Generative AI-Based Feedback and Recommendations in a Knowledge-Graph-Integrated Programming Learning System
  Nongkhai, L. N., Wang, J., Wynn, A., & Mendori, T. (2025). Computers and Education: Artificial Intelligence, 100526.
  [PDF] [BibTeX] Google Scholar ResearchGate DRO Citations: 1 ▼

  • Wang, J., Hodgson, R., & Shigematsu Locatelli, M. (2026). SMARTEN: a human-AI hybrid framework for assisted medical literature analysis and its evaluation. BMC Medical Education.
• Semi-Supervised Speech Confidence Detection Using Pseudo-Labelling and Whisper Embeddings
  Wynn, A., Wang, J., Tan, X. (2025). In Artificial Intelligence in Education (AIED 2025). Lecture Notes in Computer Science, vol 15882, Springer, Cham.
  [PDF] [BibTeX] Google Scholar ResearchGate DRO
• Unravelling Emotional Nuances: A Cross-Linguistic Analysis of Sentiment Differences in Multilingual Movie Versions
  Wynn, A., Wang, J., & Li, X. (2025). In Generative Systems and Intelligent Tutoring Systems. ITS 2025. Lecture Notes in Computer Science, vol 15723. Springer, Cham.
  [PDF] [BibTeX] Google Scholar ResearchGate DRO
• 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). Smart Learning Environments, 11(1), 53.
  [PDF] [BibTeX] Google Scholar ResearchGate DRO Citations: 7 ▼

  • Wang, J., Hodgson, R., & Shigematsu Locatelli, M. (2026). SMARTEN: a human-AI hybrid framework for assisted medical literature analysis and its evaluation. BMC Medical Education.
  • Zheng, L. (2025). SGNPP: A graph neural network-based framework for Japanese grammar modeling and adaptive learning path optimization. Informatica. An International Journal of Computing and Informatics, 49(31).
  • Nongkhai, L. N., Wang, J., Wynn, A., & Mendori, T. (2025). Evaluating Adaptive and Generative AI-Based Feedback and Recommendations in a Knowledge-Graph-Integrated Programming Learning System. Computers and Education: Artificial Intelligence, 100526.
  • Wang, Z., Li, X., & Wang, J. (2025). ELEGANCE: A customizable EducationaL gamE for foreiGn guArdians to understand japaNese sChool culturE. IIAI Letters on Informatics and Interdisciplinary Research, 6.
  • Siregar, J., Noor, M., Whindayati, A., Fatimah, S., & Handayani, D. (2025). PEMETAAN MODEL PEMBELAJARAN YANG TEPAT SEBAGAI PENUNJANG PEMBELAJARAN DI JAKARTA TIMUR. Pendas: Jurnal Ilmiah Pendidikan Dasar, 10(04), 291-307.
  • Aguilar Gordón, F. D. R., Villagómez, M. S., Espinosa Taipe, J. F., Lara Barba, R. F., Freire Tipanguano, W. H., Gómez Andrade, S. M., ... & Llanos Erazo, D. (2025). Miradas sobre la Gestión de la Educación Superior en el Ecuador.
  • Albán, A. J. G., Tipanguano, W. H. F., Andrade, S. M. G., Esquivel, G. N. E., Salcedo, G. M. P., Cruz, L. U. B., ... & Condoy, M. B. G. (2025). Miradas sobre la gestión de la educación superior en el Ecuador.
• Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials
  Wynn, A., Wang, J., & Valente, A. (2024). In Proceedings of the 2024 Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2024). ACM.
  [PDF] [BibTeX] Google Scholar ResearchGate DRO
• Analysing Learner Behaviour in an Ontology-Based E-learning System: A Graph Neural Network Approach
  Wynn, A., Wang, J., Sun, Z., & Shimada, A. (2024). In Companion Proceedings of the 14th Learning Analytics and Knowledge Conference (LAK '24).
  [PDF] [BibTeX] Google Scholar ResearchGate DRO Citations: 3 ▼

  • Sun, Z., Wang, J., Alamri, A., & Cristea, A. (2025, July). SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback. In International Conference on Artificial Intelligence in Education (pp. 328-335). Cham: Springer Nature Switzerland.
  • Al Moubayed, Noura & Sun, Zhongtian & Harit, Anoushka. (2025). TextFold: A Geometric Hypergraph Framework for Protein Structure Prediction with Scientific Literature Integration.
  • Sun, Zhongtian & Harit, Anoushka & Yu, Jongmin & Wang, Jingyun & Lio, Pietro. (2025). Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. 10.1145/3701716.3715577.
• Multiplayer Serious Games Supporting Programming Learning
  Wynn, A., Wang, J., Han, R., & Hsu, T.-C. (2023). Proceedings of the 17th European Conference on Games Based Learning, 721–729. Academic Conferences and Publishing International.
  [PDF] [BibTeX] Google Scholar ResearchGate DRO Citations: 5 ▼

  • Toukiloglou, P., & Xinogalos, S. (2025). Effects of collaborative support on learning in serious games for programming. Journal of Educational Computing Research, 63(1), 126-146.
  • Kramar, U., & Knez, M. (2025). Gamified Learning for Sustainability: An Innovative Approach to Enhance Hydrogen Literacy and Environmental Awareness Through Simulation-Based Education.
  • Τουκίλογλου, Π. (2025). Support systems in Serious Games: enhancing programming learning for primary school students.
  • de Araújo, A. T. B., Roma, L. V. F., Ramos, R. D., dos Santos, W. M., & Da Silva, G. J. F. (2024, November). A Importância de Jogos Sérios na Aprendizagem de Programaçao. In Escola Regional de Computação Bahia, Alagoas e Sergipe (ERBASE) (pp. 256-265). SBC.
  • Calvo-Morata, Antonio & Humble, Niklas & Mozelius, Peter & Pechuel, Rasmus & Fernández-Manjón, Baltasar. (2024). Games for Coding to Attract New Students to STEM. 10.1109/EDUCON60312.2024.10578626.
• BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining
  Wynn, A., & Wang, J. (2023). In Artificial Intelligence in Education (pp. 746–752). Springer.
  [PDF] [BibTeX] Google Scholar ResearchGate DRO Citations: 6 ▼

  • Pozdniakov, S., Brazil, J., Banihashem, S. K., Noroozi, O., Gašević, D., Sadiq, S., & Khosravi, H. (2026). AI assistance in peer feedback provision: Pedagogically sound, but minimally adopted. Computers & Education, 105591.
  • Desai, Y., Kasiraju, P., Das, S., & Rajendran, R. (2025). EmotiCon: Enhancing Public Speaking Training with Context-Aware Feedback on Emotional Delivery. In International Conference on Computers in Education.
  • Al-Sewiket, A. A. (2025). Ethics of Using Artificial Intelligence Applications in Higher Education: A Retrospective Study of Contemporary Research. Journal of Arts, 13(4).
  • Ryoo, D., & Kim, D. (2025). Research on the design of a dashboard for instructors to monitor learner participation in synchronous online education. The Journal of Korean Association of Computer Education, 28(7), 53-64.
  • Elkot, M. A., Youssif, E., Elmahdi, O. E. H., AbdAlgane, M., & Ali, R. (2025). Generative Conversational AI: Active Practices for Fostering Students with Mild Intellectual Disabilities to Improve English Communication Skills. Contemporary Educational Technology, 17(1).
  • AbdAlgane, M., & Elkot, M. (2024). Generative Conversational AI: Active Practices for Fostering Students with Mild Intellectual Disabilities to Improve English Communication Skills. Available at SSRN 5082088.
• An AI-Based Feedback Visualisation System for Speech Training
  Wynn, A. T., Wang, J., Umezawa, K., & Cristea, A. I. (2022). In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium (pp. 510–514). Springer.
  [PDF] [BibTeX] Google Scholar ResearchGate DRO Citations: 4 ▼

  • Malik, R., & Yu, Y. (2025). 12. AI-enhanced public speaking and its applications: a systematic literature. Multidisciplinary Movements in AI and Generative AI: Society, Business, Education, 220.
  • Sukjaitham, S., Brod, G., & Breitwieser, J. (2025, July). Exploring the Feasibility of Personalized AI Feedback to Improve Children’s Planning Skills. In International Conference on Artificial Intelligence in Education (pp. 274-281). Cham: Springer Nature Switzerland.
  • Newby, A. A., Bhatta, A., Kirkland III, C., Arnold, N., & Thompson, L. A. (2025). The Role of Facial Action Units in Investigating Facial Movements During Speech. Electronics, 14(10), 2066.
  • Wynn, A., & Wang, J. (2023, June). BETTER: An automatic feedBack systEm for supporTing emoTional spEech tRaining. In International Conference on Artificial Intelligence in Education (pp. 746-752). Cham: Springer Nature Switzerland.