What's more important when developing math recommender systems: accuracy, explainability, or both? - Yiling Dai; Brendan Flanagan; Hiroaki Ogata (Res. Pract. Technol. Enhanc. Learn., 2025)

Augmentation of Learning Content With Knowledge Components: Automatic Unit Labeling for Various Forms of Japanese Math Materials - Taisei Yamauchi; Ryosuke Nakamoto; Brendan Flanagan; Yiling Dai; Isanka Wijerathne; Hiroaki Ogata (IEEE Trans. Learn. Technol., 2025)

Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender - Kyosuke Takami; Brendan Flanagan; Yiling Dai; Hiroaki Ogata (Int. J. Distance Educ. Technol., 2024)

Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz - Ryosuke Nakamoto; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Hiroaki Ogata (Res. Pract. Technol. Enhanc. Learn., 2024)

EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning - Hiroaki Ogata; Brendan Flanagan; Kyosuke Takami; Yiling Dai; Ryosuke Nakamoto; Kensuke Takii (Res. Pract. Technol. Enhanc. Learn., 2024)

Beyond recommendation acceptance: explanation's learning effects in a math recommender system - Yiling Dai; Kyosuke Takami; Brendan Flanagan; Hiroaki Ogata (Res. Pract. Technol. Enhanc. Learn., 2024)

A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises - Brendan Flanagan; Zejie Tian; Taisei Yamauchi; Yiling Dai; Hiroaki Ogata (Res. Pract. Technol. Enhanc. Learn., 2024)

Integrating self-explanation and operational data for impasse detection in mathematical learning - Ryosuke Nakamoto; Brendan Flanagan; Yiling Dai; Taisei Yamauchi; Kyosuke Takami; Hiroaki Ogata (Res. Pract. Technol. Enhanc. Learn., 2024)

Do personal recommendations need to be personalized? Investigating the relationships between student differences and educational recommendations - Yiling Dai; Heinz Ulrich Hoppe; Brendan Flanagan; Kyosuke Takami; Hiroaki Ogata (Smart Learn. Environ., 2024)

Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context - Hiroaki Ogata; Changhao Liang; Yuko Toyokawa; Chia-Yu Hsu; Kohei Nakamura; Taisei Yamauchi; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Izumi Horikoshi; Rwitajit Majumdar (Technol. Knowl. Learn., 2024)

An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics - Ryosuke Nakamoto; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Hiroaki Ogata (IEEE International Conference on Advanced Learning Technologies, ICALT 2024, Nicosia, North Cyprus, July 1-4, 2024, 2024)

Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis - Ryosuke Nakamoto; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Hiroaki Ogata (IEEE International Conference on Advanced Learning Technologies, ICALT 2024, Nicosia, North Cyprus, July 1-4, 2024, 2024)

Exploring Reading Speed Profiles in EFL Extensive Reading - Hatsune Ichidate; Yiling Dai; Brendan Flanagan; Hiroaki Ogata (Proceeding of the 32nd International Conference on Computers in Education, ICCE 2024, Quezon City, Philippines, November 25-29, 2024, 2024)

TAMMY: Supporting EFL Translation Practice with an LLM-Powered Chatbot - Steve Woollaston; Brendan Flanagan; Patrick Ocheja; Yiling Dai; Hiroaki Ogata (Proceeding of the 32nd International Conference on Computers in Education, ICCE 2024, Quezon City, Philippines, November 25-29, 2024, 2024)

Representing Learning Progression of Unguided Exercise Solving: A Generalization of Wheel-Spinning Detection - Taisei Yamauchi; Heinz Ulrich Hoppe; Yiling Dai; Brendan Flanagan; Hiroaki Ogata (Proceeding of the 32nd International Conference on Computers in Education, ICCE 2024, Quezon City, Philippines, November 25-29, 2024, 2024)

How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments? - Patrick Ocheja; Brendan Flanagan; Yiling Dai; Hiroaki Ogata (CoRR, 2024)

Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach - Ryosuke Nakamoto; Brendan Flanagan; Taisei Yamauchi; Yiling Dai; Kyosuke Takami; Hiroaki Ogata (Comput., 2023)

Automated labeling of PDF mathematical exercises with word N-grams VSM classification - Taisei Yamauchi; Brendan Flanagan; Ryosuke Nakamoto; Yiling Dai; Kyosuke Takami; Hiroaki Ogata (Smart Learn. Environ., 2023)

Personality-based tailored explainable recommendation for trustworthy smart learning system in the age of artificial intelligence - Kyosuke Takami; Brendan Flanagan; Yiling Dai; Hiroaki Ogata (Smart Learn. Environ., 2023)

Can We Ensure Accuracy and Explainability for a Math Recommender System? - Yiling Dai; Brendan Flanagan; Hiroaki Ogata (Proceeding of the 31st International Conference on Computers in Education, ICCE 2023, Matsue, Japan, December 4-8, 2023, 2023)

ECLAIR: A Centralized AI-Powered Recommendations System in a Multi-Node EXAIT System - Isanka Wijerathne; Brendan Flanagan; Yiling Dai; Hiroaki Ogata (Proceeding of the 31st International Conference on Computers in Education, ICCE 2023, Matsue, Japan, December 4-8, 2023, 2023)

Improved Automated Labeling of Mathematical Exercises in Japanese - Taisei Yamauchi; Ryosuke Nakamoto; Yiling Dai; Kyosuke Takami; Brendan Flanagan; Hiroaki Ogata (Proceeding of the 31st International Conference on Computers in Education, ICCE 2023, Matsue, Japan, December 4-8, 2023, 2023)

An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz - Ryosuke Nakamoto; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Hiroaki Ogata (Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II, 2022)

Investigation on Practical Effects of the Explanation in a K-12 Math Recommender System - Yiling Dai; Kyosuke Takami; Brendan Flanagan; Hiroaki Ogata (Proceeding of the 30th International Conference on Computers in Education, ICCE 2022, Kuala Lumpur, Malaysia, November 28 - December 2, 2022, 2022)

Automated Matching of Exercises with Knowledge components - Zejie Tian; Brendan Flanagan; Yiling Dai; Hiroaki Ogata (Proceeding of the 30th International Conference on Computers in Education, ICCE 2022, Kuala Lumpur, Malaysia, November 28 - December 2, 2022, 2022)

Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students - Yiling Dai; Brendan Flanagan; Kyosuke Takami; Hiroaki Ogata (Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior - DC in LAK22 co-located with 12th International Learning Analytics and Knowledge Conference (LAK22), Online (initially located in California, USA), March 22nd, 2022, 2022)

Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment - Kyosuke Takami; Yiling Dai; Brendan Flanagan; Hiroaki Ogata (LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21 - 25, 2022, 2022)

Studies on Content Analysis and Ordering of Courses from a Knowledge-Based Perspective - Yiling Dai (Kyoto University, Japan, 2021)

Prerequisite-aware course ordering towards getting relevant job opportunities - Yiling Dai; Masatoshi Yoshikawa; Kazunari Sugiyama (Expert Syst. Appl., 2021)

EXAIT: A Symbiotic Explanation Learning System - Brendan Flanagan; Kyosuke Takami; Kensuke Takii; Yiling Dai; Rwitajit Majumdar (Proceeding of the 29th International Conference on Computers in Education, ICCE 2021, virtual, November 22-26, 2021, 2021)

Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters - Kyosuke Takami; Brendan Flanagan; Yiling Dai (Proceeding of the 29th International Conference on Computers in Education, ICCE 2021, virtual, November 22-26, 2021, 2021)

Estimating Knowledge Category Coverage by Courses Based on Centrality in Taxonomy - Yiling Dai; Masatoshi Yoshikawa; Yasuhito Asano (IEICE Trans. Inf. Syst., 2020)

Seller reputation or product presentation? An empirical investigation from cue utilization perspective - Qiuzhen Wang; Xiling Cui; Liqiang Huang; Yiling Dai (Int. J. Inf. Manag., 2016)

2130738498204492468731995324792534532493203512999224847248953074031350 - - 225222011025216264152550921463271692241121644263992639530830357482970235770 (Hospital Information System Continuous Use of Patients: An Empirical Study Based on TAM and ECT) - Yiling Dai; Dongxiao Gu; Wenxing Lu; Changyong Liang (3574531639264263118523398, 2016)

Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners - Yiling Dai; Yasuhito Asano; Masatoshi Yoshikawa (Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016, 2016)

The Influence of Online Product Presentation and Seller Reputation on the Consumers' Purchase Intention across Different Involvement Products - Qiuzhen Wang; Yiling Dai (17th Pacific Asia Conference on Information Systems, PACIS 2013, Jeju Island, Korea, June 18-22, 2013, 2013)