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Books and Theses
- 2021
[b1]Yiling Dai:
Studies on Content Analysis and Ordering of Courses from a Knowledge-Based Perspective. Kyoto University, Japan, 2021
Journal Articles
- 2024
- [j15]Kyosuke Takami
, Brendan Flanagan, Yiling Dai, Hiroaki Ogata:
Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender. Int. J. Distance Educ. Technol. 22: 1-23 (2024) - [j14]Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz. Res. Pract. Technol. Enhanc. Learn. 19: 16 (2024) - [j13]Hiroaki Ogata, Brendan Flanagan, Kyosuke Takami, Yiling Dai, Ryosuke Nakamoto, Kensuke Takii:
EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning. Res. Pract. Technol. Enhanc. Learn. 19: 19 (2024) - [j12]Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata:
Beyond recommendation acceptance: explanation's learning effects in a math recommender system. Res. Pract. Technol. Enhanc. Learn. 19: 20 (2024) - [j11]Brendan Flanagan, Zejie Tian, Taisei Yamauchi, Yiling Dai, Hiroaki Ogata:
A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises. Res. Pract. Technol. Enhanc. Learn. 19: 28 (2024) - [j10]Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Taisei Yamauchi, Kyosuke Takami, Hiroaki Ogata:
Integrating self-explanation and operational data for impasse detection in mathematical learning. Res. Pract. Technol. Enhanc. Learn. 20: 19 (2024) - [j9]Yiling Dai, Heinz Ulrich Hoppe, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata:
Do personal recommendations need to be personalized? Investigating the relationships between student differences and educational recommendations. Smart Learn. Environ. 11(1): 61 (2024) - [j8]Hiroaki Ogata, Changhao Liang, Yuko Toyokawa, Chia-Yu Hsu, Kohei Nakamura, Taisei Yamauchi, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Izumi Horikoshi, Rwitajit Majumdar:
Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context. Technol. Knowl. Learn. 29(4): 1711-1732 (2024) - 2023
- [j7]Ryosuke Nakamoto, Brendan Flanagan, Taisei Yamauchi, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach. Comput. 12(11): 217 (2023) - [j6]Taisei Yamauchi, Brendan Flanagan, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
Automated labeling of PDF mathematical exercises with word N-grams VSM classification. Smart Learn. Environ. 10(1): 51 (2023) - [j5]Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata:
Personality-based tailored explainable recommendation for trustworthy smart learning system in the age of artificial intelligence. Smart Learn. Environ. 10(1): 65 (2023) - 2021
- [j4]Yiling Dai, Masatoshi Yoshikawa, Kazunari Sugiyama:
Prerequisite-aware course ordering towards getting relevant job opportunities. Expert Syst. Appl. 183: 115233 (2021) - 2020
- [j3]Yiling Dai, Masatoshi Yoshikawa, Yasuhito Asano:
Estimating Knowledge Category Coverage by Courses Based on Centrality in Taxonomy. IEICE Trans. Inf. Syst. 103-D(5): 928-938 (2020) - 2016
- [j2]Qiuzhen Wang, Xiling Cui, Liqiang Huang, Yiling Dai:
Seller reputation or product presentation? An empirical investigation from cue utilization perspective. Int. J. Inf. Manag. 36(3): 271-283 (2016) - [j1]Yiling Dai, Dongxiao Gu, Wenxing Lu, Changyong Liang:
医院信息系统持续使用意愿研究 - - 基于技术接受模型和期望确认理论 (Hospital Information System Continuous Use of Patients: An Empirical Study Based on TAM and ECT). 计算机科学 43(7): 240-244 (2016)
Conference and Workshop Papers
- 2024
- [c10]Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics. ICALT 2024: 75-79 - [c9]Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis. ICALT 2024: 164-168 - [c8]Hatsune Ichidate, Yiling Dai, Brendan Flanagan, Hiroaki Ogata:
Exploring Reading Speed Profiles in EFL Extensive Reading. ICCE 2024 - [c7]Steve Woollaston, Brendan Flanagan, Patrick Ocheja, Yiling Dai, Hiroaki Ogata:
TAMMY: Supporting EFL Translation Practice with an LLM-Powered Chatbot. ICCE 2024 - [c6]Taisei Yamauchi, Heinz Ulrich Hoppe, Yiling Dai, Brendan Flanagan, Hiroaki Ogata:
Representing Learning Progression of Unguided Exercise Solving: A Generalization of Wheel-Spinning Detection. ICCE 2024 - 2022
- [c5]Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata:
An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz. AIED (2) 2022: 254-258 - [c4]Yiling Dai, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata:
Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students. LAK (Data Challenge) 2022: 30-38 - [c3]Kyosuke Takami, Yiling Dai, Brendan Flanagan, Hiroaki Ogata:
Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment. LAK 2022: 458-464 - 2016
- [c2]Yiling Dai, Yasuhito Asano, Masatoshi Yoshikawa:
Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners. EDM 2016: 347-352 - 2013
- [c1]Qiuzhen Wang, Yiling Dai:
The Influence of Online Product Presentation and Seller Reputation on the Consumers' Purchase Intention across Different Involvement Products. PACIS 2013: 137
Informal and Other Publications
- 2024
- [i1]Patrick Ocheja, Brendan Flanagan, Yiling Dai, Hiroaki Ogata:
How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments? CoRR abs/2412.03856 (2024)
Coauthor Index
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