The Influence of Online Product Presentation and Seller Reputation on the Consumers' Purchase Intention across Different Involvement Products. - Qiuzhen Wang; Yiling Dai (PACIS, 2013)

Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners. - Yiling Dai; Yasuhito Asano; Masatoshi Yoshikawa (EDM, 2016)

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)

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). - Yiling Dai; Dongxiao Gu; Wenxing Lu; Changyong Liang (计算机科学, 2016)

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

EXAIT: A Symbiotic Explanation Learning System. - Brendan Flanagan; Kyosuke Takami; Kensuke Takii; Yiling Dai; Rwitajit Majumdar (ICCE, 2021)

Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters. - Kyosuke Takami; Brendan Flanagan; Yiling Dai (ICCE, 2021)

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

Studies on Content Analysis and Ordering of Courses from a Knowledge-Based Perspective. - Yiling Dai (2021)

An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz. - Ryosuke Nakamoto; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Hiroaki Ogata (AIED (2), 2022)

Investigation on Practical Effects of the Explanation in a K-12 Math Recommender System. - Yiling Dai; Kyosuke Takami; Brendan Flanagan; Hiroaki Ogata (ICCE, 2022)

Automated Matching of Exercises with Knowledge components. - Zejie Tian; Brendan Flanagan; Yiling Dai; Hiroaki Ogata (ICCE, 2022)

Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students. - Yiling Dai; Brendan Flanagan; Kyosuke Takami; Hiroaki Ogata (LAK (Data Challenge), 2022)

Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment. - Kyosuke Takami; Yiling Dai; Brendan Flanagan; Hiroaki Ogata (LAK, 2022)

Can We Ensure Accuracy and Explainability for a Math Recommender System? - Yiling Dai; Brendan Flanagan; Hiroaki Ogata (ICCE, 2023)

ECLAIR: A Centralized AI-Powered Recommendations System in a Multi-Node EXAIT System. - Isanka Wijerathne; Brendan Flanagan; Yiling Dai; Hiroaki Ogata (ICCE, 2023)

Improved Automated Labeling of Mathematical Exercises in Japanese. - Taisei Yamauchi; Ryosuke Nakamoto; Yiling Dai; Kyosuke Takami; Brendan Flanagan; Hiroaki Ogata (ICCE, 2023)

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)

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)

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)

An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics. - Ryosuke Nakamoto; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Hiroaki Ogata (ICALT, 2024)

Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis. - Ryosuke Nakamoto; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Hiroaki Ogata (ICALT, 2024)

Exploring Reading Speed Profiles in EFL Extensive Reading. - Hatsune Ichidate; Yiling Dai; Brendan Flanagan; Hiroaki Ogata (ICCE, 2024)

TAMMY: Supporting EFL Translation Practice with an LLM-Powered Chatbot. - Steve Woollaston; Brendan Flanagan; Patrick Ocheja; Yiling Dai; Hiroaki Ogata (ICCE, 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 (ICCE, 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)

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)

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)

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)

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)

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)

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 002; Kohei Nakamura; Taisei Yamauchi; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Izumi Horikoshi; Rwitajit Majumdar (Technol. Knowl. Learn., 2024)

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)