Data-Centric Learning Technologies (DCLT)
Our previous work in this area includes learning analytics and tools for supporting university students, programming novices, and older adults.
References
Shiman Cui, Shin’ichi Konomi (2022) Generating fill-in-blank problems from historical data: enabling an intelligent learning-assistance for Python programming. IEICE SIGET Technical Report, Online, January 22, 2022.
Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi (2022). Exploring jump back behavior patterns and reasons in e-book system. Smart Learning Environments, 9, 2, Springer, Berlin/Heidelberg, January 4, 2022.
Boxuan Ma, Min Lu, Yuta Taniguchi, Shin’ichi Konomi (2021). Investigating course choice motivations in university environments. Smart Learning Environments, 8, 31, Springer, Berlin/Heidelberg, November 27, 2021.
Learning Analytics for All: Opportunities and Challenges, The 7th Asian Workshop on Smart Sensor Systems, Munakata, March 24-26, 2019 [Keynote Talk]
Min Lu, Kaoru Tamura, Shin’ichi Konomi (2019). An Elderly-Oriented User Interface Prototype Developed for Inclusive Learning Support Systems. Presented at the 2019 Annual International Conference on Education and Service Sciences (ICESS 2019), Wuhan China, September 20-23, 2019. [Best Presentation Award]
Fumiya Okubo, Masanori Yamada, Misato Oi, Atsushi Shimada, Yuta Taniguchi and Shin’ichi Konomi (2019). Learning Support Systems Based on Cohesive Learning Analytics. Emerging Trends in Learning Analytics, Brill, ISBN: 978-90-04-39661-6