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Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction (2025)
Journal Article
Liu, J., Sun, D., Sun, J., Wang, J., & Yu, P. L. H. (2025). Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction. Computers and Education: Artificial Intelligence, 9, Article 100438. https://doi.org/10.1016/j.caeai.2025.100438

Mathematics word problem solving is a critical component of elementary education, yet many students encounter persistent difficulties in this area due to the combined cognitive demands of linguistic comprehension and mathematical re... Read More about Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction.

Development and Evaluation of Adaptive Learning Support System Based on Ontology of Multiple Programming Languages (2025)
Journal Article
Na Nongkhai, L., Wang, J., & Mendori, T. (2025). Development and Evaluation of Adaptive Learning Support System Based on Ontology of Multiple Programming Languages. Education Sciences, 15(6), Article 724

This paper introduces an ontology-based approach within an adaptive learning support system for computer programming. This system is designed to deliver personalized programming exercises that are tailored to individual learners’ skill levels. This p... Read More about Development and Evaluation of Adaptive Learning Support System Based on Ontology of Multiple Programming Languages.

Unravelling Emotional Nuances: A Cross-Linguistic Analysis of Sentiment Differences in Multilingual Movie Versions (2025)
Presentation / Conference Contribution
Wynn, A., Wang, J., & Li, X. (2025, June). Unravelling Emotional Nuances: A Cross-Linguistic Analysis of Sentiment Differences in Multilingual Movie Versions. Presented at ITS2025: 21th International Conference on Intelligent Tutoring Systems, Alexandroupolis, Greece

To facilitate automatic knowledge creation for the learners of intercultural communication, we propose a pipeline that combines AI analytics with human-in-the-loop evaluation. A case study was conducted on the English and Japanese versions of the fil... Read More about Unravelling Emotional Nuances: A Cross-Linguistic Analysis of Sentiment Differences in Multilingual Movie Versions.

Semi-supervised Speech Confidence Detection using Psuedo-labelling and Whisper Embeddings (2025)
Presentation / Conference Contribution
Wynn, A., Wang, J., & Tan, X. (2025, July). Semi-supervised Speech Confidence Detection using Psuedo-labelling and Whisper Embeddings. Presented at The 26th International Conference on Artificial Intelligence in Education, Palermo, Italy

Understanding speaker confidence is crucial in educational settings, as it can enhance personalised feedback and improve learning outcomes. This study introduces a novel framework for detecting speaker confidence by integrating human-engineered featu... Read More about Semi-supervised Speech Confidence Detection using Psuedo-labelling and Whisper Embeddings.

Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks (2025)
Presentation / Conference Contribution
Sun, Z., Harit, A., Yu, J., Wang, J., & Liò, P. (2025, April). Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. Presented at International World Wide Web Conference 2025, Australia

Web-based applications often involve analyzing complex multirelational data generated by various domains, including social platforms, bibliographic networks, recommendation systems, and ecommerce platforms. Traditional graph-based methods struggle to... Read More about Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks.

AI-Driven Feedback for Enhancing Students' Mathematical Problem-Solving: The ScaffoldiaMyMaths System (2024)
Presentation / Conference Contribution
Sun, D., Wang, J., Yang, L., Chou, K.-L., Song, Z., & Zheng, Z. (2024, November). AI-Driven Feedback for Enhancing Students' Mathematical Problem-Solving: The ScaffoldiaMyMaths System. Poster presented at International Conference on Computers in Education, Philippines

As online learning becomes increasingly prevalent, it is essential to understand students' perspectives and address the challenges they encounter. The developing system, ScaffoldiaMyMaths, aims to support the mathematics learning of underprivileged a... Read More about AI-Driven Feedback for Enhancing Students' Mathematical Problem-Solving: The ScaffoldiaMyMaths System.

A topic map based learning management system to facilitate meaningful grammar learning: the case of Japanese grammar learning (2024)
Journal Article
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

This study investigates the effect of studying with topic maps provided by a self-developed language learning support system on (a) learning perception, (b) learning achievement and (c) variation in learning attitude and motivation, from the perspect... Read More about A topic map based learning management system to facilitate meaningful grammar learning: the case of Japanese grammar learning.

Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials (2024)
Presentation / Conference Contribution
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

Beginner programmers can develop an intuitive understanding of programming by leveraging the motivating field of multimedia to visually inspect outputs and experiment with different ways to solve problems. This paper presents MediaLib, a Python libra... Read More about Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials.

Partially-Supervised Metric Learning via Dimensionality Reduction of Text Embeddings using Transformer Encoders and Attention Mechanisms (2024)
Journal Article
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

Real-world applications of word embeddings to downstream clustering tasks may experience limitations to performance, due to the high degree of dimensionality of the embeddings. In particular, clustering algorithms do not scale well when applied to hi... Read More about Partially-Supervised Metric Learning via Dimensionality Reduction of Text Embeddings using Transformer Encoders and Attention Mechanisms.

Analysing Learner Behaviour in an Ontology-Based E-learning System: A Graph Neural Network Approach (2024)
Presentation / Conference Contribution
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

Despite the prevalence of e-learning systems, there is a lack of support for learners to identify and compare new knowledge with existing cognitive structures. Therefore, an ontology-based visualization support system was previously introduced which... Read More about Analysing Learner Behaviour in an Ontology-Based E-learning System: A Graph Neural Network Approach.

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

This research proposes to develop an adaptive ontology-based learning support system for computer programming learning. Firstly, the system adopts a previously developed ontology called CONTINUOUS, which represents programming concepts and their rela... Read More about An Adaptive Learning Support System based on Ontology of Multiple Programming Languages.

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model (2023)
Journal Article
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

Stock price prediction is challenging in financial investment, with the AI boom leading to increased interest from researchers. Despite these recent advances, many studies are limited to capturing the time series characteristics of price movement via... Read More about MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model.

Multiplayer Serious Games Supporting Programming Learning (2023)
Presentation / Conference Contribution
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

Computational thinking (CT) is crucial in education for providing a multifaceted approach to problem-solving. However, challenges exist such as supporting teachers' knowledge of CT and students' desire to learn it, particularly for non-t... Read More about Multiplayer Serious Games Supporting Programming Learning.

PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art (2023)
Presentation / Conference Contribution
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

The STEAM approach in education has been gaining increasing popularity over the last decade. This is due to its potential in enhancing students' learning, when teaching arts and scientific disciplines together. This paper introduces the PICA-PICA con... Read More about PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art.

Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry (2022)
Presentation / Conference Contribution
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

Barriers to the delivery of journalistic content to suitable media outlets present difficulties to both journalists and publishing houses. These may take the form of barriers to the identification of key individuals to whom the content is relevant, a... Read More about Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry.

An AI-Based Feedback Visualisation System for Speech Training (2022)
Book Chapter
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

This paper proposes providing automatic feedback to support public speech training. For the first time, speech feedback is provided on a visual dashboard including not only the transcription and pitch information, but also emotion information. A meth... Read More about An AI-Based Feedback Visualisation System for Speech Training.

A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics (2022)
Presentation / Conference Contribution
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

In the academic process, comprehension and analysis of liter- ature is essential, however, time-consuming. Reviewers may encounter difficulties in identifying relevant literature, given the considerable volume of available texts. It is arduous not on... Read More about A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics.