EXAIT: Educational eXplainable artificial intelligent tools for personalized learning

H Ogata, B Flanagan, K Takami… - … and Practice in …, 2024 - repository.kulib.kyoto-u.ac.jp
As artificial intelligence systems increasingly make high-stakes recommendations and
decisions automatically in many facets of our lives, the use of explainable artificial …

Learning and evidence analytics framework (LEAF): Research and practice in international collaboration

H Ogata, R Majumdar, SJH Yang… - … and Technology in …, 2022 - jstage.jst.go.jp
Learning analytics (LA) is maturing as a research discipline in its own terms, focusing on
multiple perspectives of data-informed understanding and supporting teaching and learning …

Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context

H Ogata, C Liang, Y Toyokawa, CY Hsu… - Technology, Knowledge …, 2024 - Springer
This paper explores co-design in Japanese education for deploying data-driven educational
technology and practice. Although there is a growing emphasis on data to inform …

Learning in the digital age: power of shared learning logs to support sustainable educational practices

H Ogata, R Majumdar, B Flanagan - IEICE TRANSACTIONS on …, 2023 - search.ieice.org
During the COVID-19 pandemic there was a rapid shift to emergency remote teaching
practices and online tools for education have already gained further attention. While …

Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz

R Nakamoto, B Flanagan, Y Dai… - … and Practice in …, 2024 - repository.kulib.kyoto-u.ac.jp
Self-explanation is a widely recognized and effective pedagogical method. Previous
research has indicated that self-explanation can be used to evaluate students' …

Explainable eBook recommendation for extensive reading in K-12 EFL learning

K Takii, B Flanagan, H Li, Y Yang… - … and Practice in …, 2024 - repository.kulib.kyoto-u.ac.jp
An automatic recommendation system for learning materials in e-learning addresses the
challenge of selecting appropriate materials amid information overload and varying self …

The Review of Studies on Explainable Artificial Intelligence in Educational Research

G Türkmen - Journal of Educational Computing Research, 2024 - journals.sagepub.com
Explainable Artificial Intelligence (XAI) refers to systems that make AI models more
transparent, hel** users understand how outputs are generated. XAI algorithms are …

Explainable English Material Recommendation Using an Information Retrieval Technique for EFL Learning

K Takii, B Flanagan, LI Huiyong… - … on Computers in …, 2022 - library.apsce.net
Learning material recommendation has been a common field in the recommendation in e-
learning due to the difficulty the learners experience in choosing appropriate learning …

ユビキタスな学習環境とリアルワールド教育データが実現する学びの変革

緒方広明, 堀越泉 - 人工知能, 2024 - jstage.jst.go.jp
本稿では, このようなエコシステムを実現するための基盤情報システムとして LEAF (Learning
Evidence and Analytics Framework)[Ogata 23a] を紹介し, より高度な AI 支援やさまざまな教育 …

An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics

R Nakamoto, B Flanagan, Y Dai… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
In online mathematics education, self-explanation is increasingly recognized as a key tool
for improving learning outcomes. Identifying learning impasses, which present significant …