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Outputs (33)

Analysing Learner Behaviour in an Ontology-Based E-learning System: A Graph Neural Network Approach (2024)
Conference Proceeding
Wynn, A., Wang, J., Sun, Z., & Shimada, A. (in press). Analysing Learner Behaviour in an Ontology-Based E-learning System: A Graph Neural Network Approach.

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.

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)
Conference Proceeding
Wynn, A., Wang, J., Han, R., & Hsu, T. (2023). Multiplayer Serious Games Supporting Programming Learning. In Proceedings of the 17th European Conference on Games Based Learning (721-729). https://doi.org/10.34190/ecgbl.17.1.1621

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)
Conference Proceeding
Nagai, T., Klem, S., Kayama, M., Asuke, T., Meccawy, M., Wang, J., …Shi, L. (2023). PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art. . https://doi.org/10.1109/educon54358.2023.10125184

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)
Conference Proceeding
Hodgson, R., Wang, J., Cristea, A. I., & Graham, J. (2022). Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry. . https://doi.org/10.1109/iiai-aai-winter58034.2022.00018

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)
Conference Proceeding
Hodgson, R., Wang, J. W., Cristea, A., Matsuzaki, F., & Kubota, H. (2022). A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics. In A. Mitrovic, & N. Bosch (Eds.), . https://doi.org/10.5281/zenodo.6853001

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.

MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning (2022)
Book Chapter
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

In this paper, we propose an educational game framework allowing instructors to customise the game’s learning content in the context of cyber-security, with the aim of ensuring learners are engaged with educational games. This can further support the... Read More about MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning.

Evaluation and Influencing Factors of China’s Agricultural Productivity from the Perspective of Environmental Constraints (2022)
Journal Article
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

Based on provincial panel data for the past 15 years in China, the SBM-ML index method was used to measure agricultural productivity under the environmental-constraint perspective with agricultural surface source pollution as the non-desired output.... Read More about Evaluation and Influencing Factors of China’s Agricultural Productivity from the Perspective of Environmental Constraints.

A Framework of Exercise Recommendation for Novice Learners in Computer Programming (2021)
Conference Proceeding
Na Nongkhai, L., Wang, J., & Mendori, T. (2021). A Framework of Exercise Recommendation for Novice Learners in Computer Programming. In M. Mercedes, T. Rodrigo, S. Iyer, & A. Mitrovic (Eds.),

To support novice learners majoring in Information Technology, this paper proposed an ontology-based framework to recommend exercise to learners in response to their understanding levels. This framework involves three essential mechanisms: (1) determ... Read More about A Framework of Exercise Recommendation for Novice Learners in Computer Programming.

An Evaluation of a Meaningful Discovery Learning Support System for Supporting E-book User in Pair Learning (2021)
Book Chapter
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

In this paper, an experiment was conducted to study the learning performance when learning new knowledge in groups with an e-book system and a meaningful discovery learning support environment. The participants studied target new knowledge with an e-... Read More about An Evaluation of a Meaningful Discovery Learning Support System for Supporting E-book User in Pair Learning.

Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications (2021)
Journal Article
Wang, J., Hwang, G., & Chang, C. (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

Chatbots are becoming a common trend in the service industry, education, and daily life. Increasing evidence has shown that chatbots have the potential to change the way people learn and search for information in human behavior. However, a systematic... Read More about Directions of the 100 most cited chatbot-related human behavior research: A review of academic publications.

Design of an educational multimedia library to teach Python to non-technical university students (2020)
Conference Proceeding
Valente, A., Marchetti, E., & Wang, J. (2020). Design of an educational multimedia library to teach Python to non-technical university students.

Starting from our teaching experience and previous research on programming for non-technical university students in Japan and Denmark, we identify an unarticulated dependency of programming materials from other technical domains, which causes a knowl... Read More about Design of an educational multimedia library to teach Python to non-technical university students.

What Should be Considered in Group Formation for Open-end Tasks? (2020)
Conference Proceeding
Wang, J., & Yamada, Y. (2020). What Should be Considered in Group Formation for Open-end Tasks?.

In this paper, we analyze learner data of 157 students in a cooperative learning course. The relation between learner attributes of the group member and group cooperative learning performance are explored. The analysis results suggest that the group... Read More about What Should be Considered in Group Formation for Open-end Tasks?.

Ontology Technique and Meaningful Learning Support Environments (2019)
Book Chapter
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

In this chapter, we present two ontology-driven learning support systems, which intend to provide meaningful learning environment: a customizable language learning support system (CLLSS) and a visualization learning support system for e-book users (V... Read More about Ontology Technique and Meaningful Learning Support Environments.

Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation (2018)
Conference Proceeding
Kaneko, K., & Wang, J. (2018). Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation. . https://doi.org/10.1109/iiai-aai.2018.00056

This paper discusses about learning methods to overcome stress or pressure. We had an experiment in which learners were given a quiz game for each learner to need responsibility for their team. Each learner was also given learning time for the game s... Read More about Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation.

Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics (2018)
Conference Proceeding
Wang, J., & Kojima, K. (2018). Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics. . https://doi.org/10.1109/iiai-aai.2018.00062

In this paper, we present a mathematical model for forming heterogeneous groups of learners under different teaching strategies. This model requires a formulation which can effectively predict the learning performance of cooperative learning groups.... Read More about Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics.

Semi-automatic Construction of Ontology Based on Data Mining Technique (2017)
Conference Proceeding
Wang, J., Flanagan, B., & Ogata, H. (2017). Semi-automatic Construction of Ontology Based on Data Mining Technique. . https://doi.org/10.1109/iiai-aai.2017.202

In this paper, we present a method to extract the possible relationships between knowledge points by analyzing e-book log and mining quiz data and mining Wikipedia articles. This method will be implemented in an ontology-based visualization support s... Read More about Semi-automatic Construction of Ontology Based on Data Mining Technique.

A meaningful discovery learning environment for e-book learners (2017)
Conference Proceeding
Wang, J., Ogata, H., & Shimada, A. (2017). A meaningful discovery learning environment for e-book learners. . https://doi.org/10.1109/educon.2017.7942995

In this paper, we present a system framework making use of e-book logs for visualization learning support systems intended to provide meaningful learning environment for e-book learners. An ontology-based visualization support system, which supports... Read More about A meaningful discovery learning environment for e-book learners.

Learning Analytics for E-Book-Based Educational Big Data in Higher Education (2017)
Book Chapter
Ogata, H., Oi, M., Mohri, K., Okubo, F., Shimada, A., Yamada, M., …Hirokawa, S. (2017). Learning Analytics for E-Book-Based Educational Big Data in Higher Education. In H. Yasuura, C. Kyung, Y. Liu, & Y. Lin (Eds.), Smart Sensors at the IoT Frontier (327-350). Springer Verlag. https://doi.org/10.1007/978-3-319-55345-0_13

This study provides an overview of the educational big data research project at Kyushu University, Japan. This project uses an e-book system called BookLooper, which allows students to browse e-books on web browsers, PCs (personal computers), and mob... Read More about Learning Analytics for E-Book-Based Educational Big Data in Higher Education.

Enhancing Personalized Feedback System by Visual Biometric Data Analysis (2016)
Conference Proceeding
Wang, J., Ho, H., & Ono, Y. (2016). Enhancing Personalized Feedback System by Visual Biometric Data Analysis. . https://doi.org/10.1109/iiai-aai.2016.231

This paper propose to develop and evaluate a learning support system which can provide personalized feedbacks for helping learners to improve their learning ability. To support the analysis of learners' cognitive processes during learning activities,... Read More about Enhancing Personalized Feedback System by Visual Biometric Data Analysis.