BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining
(2023)
Book Chapter
Wynn, A., & Wang, J. (2023). BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining. In Artificial Intelligence in Education. https://doi.org/10.1007/978-3-031-36272-9_66
Outputs (9)
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_104This 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.
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_29In 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.
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_13In 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.
The Learning Behaviors Analysis in a Language Learning Support System – A Pilot Study (2020)
Book Chapter
Wang, J., Chao, C., & Liu, L. (2020). The Learning Behaviors Analysis in a Language Learning Support System – A Pilot Study. In HCI International 2020 - Posters. https://doi.org/10.1007/978-3-030-50729-9_50
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_11In 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.
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_13This 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.
Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages
Book Chapter
Tamura, K., Lu, M., Konomi, S., Hatano, K., Inaba, M., Oi, M., …Yamada, Y. Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages. In Cross-Cultural Design. Culture and Society. https://doi.org/10.1007/978-3-030-22580-3_35
Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics Platforms and Beyond
Book Chapter
Konomi, S., Hatano, K., Inaba, M., Oi, M., Okamoto, T., Okubo, F., …Yamada, Y. Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics Platforms and Beyond. In Distributed, Ambient and Pervasive Interactions: Technologies and Contexts. https://doi.org/10.1007/978-3-319-91131-1_6