Adam T. Wynn

According to our database, Adam T. Wynn authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Lowering novice programming barriers with Medialib: studies of its effectiveness and transferability.

Jingyun Wang, Adam T. Wynn, Andrea Valente, Daner Sun, Emanuela Marchetti

Smart Learn. Environ., December, 2026

A Semi-Supervised Framework for Speech Confidence Detection using Whisper.

Adam T. Wynn, Jingyun Wang

CoRR, May, 2026

Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system.

Lalita Na Nongkhai, Jingyun Wang, Adam T. Wynn, Takahiko Mendori

Comput. Educ. Artif. Intell., 2026

EmoBridge: Bridging Emotion Comprehension from Avatars to Human Faces for Individuals with Autism Spectrum Disorder.

Jingyun Wang, Adam T. Wynn, Rebecca Wood

Proceedings of the 12th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2026

2025

Unravelling Emotional Nuances: A Cross-Linguistic Analysis of Sentiment Differences in Multilingual Movie Versions.

Adam T. Wynn, Jingyun Wang, Xiaoyan Li

Proceedings of the Generative Systems and Intelligent Tutoring Systems, 2025

Semi-supervised Speech Confidence Detection Using Pseudo-labelling and Whisper Embeddings.

Adam T. Wynn, Jingyun Wang, Xiangyu Tan

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

A topic map based learning management system to facilitate meaningful grammar learning: the case of Japanese grammar learning.

Jingyun Wang, Adam T. Wynn, Takahiko Mendori, Gwo-Jen Hwang

Smart Learn. Environ., December, 2024

Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials.

Adam T. Wynn, Jingyun Wang, Andrea Valente

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

2023

BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining.

Adam T. Wynn, Jingyun Wang

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

An AI-Based Feedback Visualisation System for Speech Training.

Adam T. Wynn, Jingyun Wang, Kaoru Umezawa, Alexandra I. Cristea

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022