Yiling Dai

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Content Analysis

Artificial Intelligent

Personalized Learning

Top Venues

Res. Pract. Technol. Enhanc. Learn.

Smart Learn. Environ.

IEICE Trans. Inf. Syst.

Int. J. Inf. Manag.

Publications

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 (2024)
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 (2024)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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)
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)
Kyosuke Takami, Yiling Dai, Brendan Flanagan, Hiroaki Ogata
Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment. LAK (2022)
Yiling Dai, Masatoshi Yoshikawa, Kazunari Sugiyama
Prerequisite-aware course ordering towards getting relevant job opportunities. Expert Syst. Appl. 183 (2021)
Yiling Dai, Masatoshi Yoshikawa, Yasuhito Asano
Estimating Knowledge Category Coverage by Courses Based on Centrality in Taxonomy. IEICE Trans. Inf. Syst. (5) (2020)
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) (2016)
Yiling Dai, Yasuhito Asano, Masatoshi Yoshikawa
Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners. EDM (2016)
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) (2016)
Qiuzhen Wang, Yiling Dai
The Influence of Online Product Presentation and Seller Reputation on the Consumers' Purchase Intention across Different Involvement Products. PACIS (2013)