Yiling Dai

39 papers A 1B 3C 10Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
TAMMY: Usability and effectiveness of a translation practice chatbot for Japanese EFL learners.
Res. Pract. Technol. Enhanc. Learn.
Steve Woollaston, Brendan Flanagan, Patrick Ocheja, Yiling Dai, Hiroaki Ogata
2025 J jnl
Augmentation of Learning Content With Knowledge Components: Automatic Unit Labeling for Various Forms of Japanese Math Materials.
IEEE Trans. Learn. Technol.
Taisei Yamauchi, Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Isanka Wijerathne, Hiroaki Ogata
2025 J jnl
Examining motivational factors influencing self-explanation quality and mathematics achievement in online learning for junior high students.
Interact. Learn. Environ.
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2025 — conf
Pilot Study of Self-explanation Based Automate Stuck Point Detection and Personalized Feed-Back Recommendation by Educational eXplainable AI Tool in Middle School Math Classes.
AIED Companion (1)
Kyosuke Takami, Ryosuke Nakamoto, Yiling Dai, Brendan Flanagan, Hiroaki Ogata
2025 J jnl
What's more important when developing math recommender systems: accuracy, explainability, or both?
Res. Pract. Technol. Enhanc. Learn.
Yiling Dai, Brendan Flanagan, Hiroaki Ogata
2024 J jnl
A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises.
Res. Pract. Technol. Enhanc. Learn.
Brendan Flanagan, Zejie Tian, Taisei Yamauchi, Yiling Dai, Hiroaki Ogata
2024 B conf
An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics.
ICALT
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2024 B conf
Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis.
ICALT
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2024 J jnl
Beyond recommendation acceptance: explanation's learning effects in a math recommender system.
Res. Pract. Technol. Enhanc. Learn.
Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata
2024 J jnl
Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context.
Technol. Knowl. Learn.
Hiroaki Ogata, Changhao Liang, Yuko Toyokawa, Chia-Yu Hsu, Kohei Nakamura, Taisei Yamauchi, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Izumi Horikoshi, Rwitajit Majumdar
2024 J jnl
Do personal recommendations need to be personalized? Investigating the relationships between student differences and educational recommendations.
Smart Learn. Environ.
Yiling Dai, Heinz Ulrich Hoppe, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata
2024 J jnl
EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning.
Res. Pract. Technol. Enhanc. Learn.
Hiroaki Ogata, Brendan Flanagan, Kyosuke Takami, Yiling Dai, Ryosuke Nakamoto, Kensuke Takii
2024 J jnl
Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender.
Int. J. Distance Educ. Technol.
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata
2024 C conf
Exploring Reading Speed Profiles in EFL Extensive Reading.
ICCE
Hatsune Ichidate, Yiling Dai, Brendan Flanagan, Hiroaki Ogata
2024 J jnl
How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments?
CoRR
Patrick Ocheja, Brendan Flanagan, Yiling Dai, Hiroaki Ogata
2024 J jnl
Integrating self-explanation and operational data for impasse detection in mathematical learning.
Res. Pract. Technol. Enhanc. Learn.
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Taisei Yamauchi, Kyosuke Takami, Hiroaki Ogata
2024 C conf
Representing Learning Progression of Unguided Exercise Solving: A Generalization of Wheel-Spinning Detection.
ICCE
Taisei Yamauchi, Heinz Ulrich Hoppe, Yiling Dai, Brendan Flanagan, Hiroaki Ogata
2024 C conf
TAMMY: Supporting EFL Translation Practice with an LLM-Powered Chatbot.
ICCE
Steve Woollaston, Brendan Flanagan, Patrick Ocheja, Yiling Dai, Hiroaki Ogata
2024 J jnl
Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz.
Res. Pract. Technol. Enhanc. Learn.
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2023 J jnl
Automated labeling of PDF mathematical exercises with word N-grams VSM classification.
Smart Learn. Environ.
Taisei Yamauchi, Brendan Flanagan, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2023 C conf
Can We Ensure Accuracy and Explainability for a Math Recommender System?
ICCE
Yiling Dai, Brendan Flanagan, Hiroaki Ogata
2023 C conf
ECLAIR: A Centralized AI-Powered Recommendations System in a Multi-Node EXAIT System.
ICCE
Isanka Wijerathne, Brendan Flanagan, Yiling Dai, Hiroaki Ogata
2023 J jnl
Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach.
Comput.
Ryosuke Nakamoto, Brendan Flanagan, Taisei Yamauchi, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2023 C conf
Improved Automated Labeling of Mathematical Exercises in Japanese.
ICCE
Taisei Yamauchi, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata
2023 J jnl
Personality-based tailored explainable recommendation for trustworthy smart learning system in the age of artificial intelligence.
Smart Learn. Environ.
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata
2022 — conf
An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz.
AIED (2)
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata
2022 C conf
Automated Matching of Exercises with Knowledge components.
ICCE
Zejie Tian, Brendan Flanagan, Yiling Dai, Hiroaki Ogata
2022 — conf
Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students.
LAK (Data Challenge)
Yiling Dai, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata
2022 A conf
Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment.
LAK
Kyosuke Takami, Yiling Dai, Brendan Flanagan, Hiroaki Ogata
2022 C conf
Investigation on Practical Effects of the Explanation in a K-12 Math Recommender System.
ICCE
Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata
2021 C conf
EXAIT: A Symbiotic Explanation Learning System.
ICCE
Brendan Flanagan, Kyosuke Takami, Kensuke Takii, Yiling Dai, Rwitajit Majumdar
2021 J jnl
Prerequisite-aware course ordering towards getting relevant job opportunities.
Expert Syst. Appl.
Yiling Dai, Masatoshi Yoshikawa, Kazunari Sugiyama
2021 — —
Studies on Content Analysis and Ordering of Courses from a Knowledge-Based Perspective.
Yiling Dai
2021 C conf
Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters.
ICCE
Kyosuke Takami, Brendan Flanagan, Yiling Dai
2020 J jnl
Estimating Knowledge Category Coverage by Courses Based on Centrality in Taxonomy.
IEICE Trans. Inf. Syst.
Yiling Dai, Masatoshi Yoshikawa, Yasuhito Asano
2016 B conf
Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners.
EDM
Yiling Dai, Yasuhito Asano, Masatoshi Yoshikawa
2016 J jnl
Seller reputation or product presentation? An empirical investigation from cue utilization perspective.
Int. J. Inf. Manag.
Qiuzhen Wang, Xiling Cui, Liqiang Huang, Yiling Dai
2016 J jnl
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
Yiling Dai, Dongxiao Gu, Wenxing Lu, Changyong Liang
2013 — conf
The Influence of Online Product Presentation and Seller Reputation on the Consumers' Purchase Intention across Different Involvement Products.
PACIS
Qiuzhen Wang, Yiling Dai