Yiling Dai

According to our database, Yiling Dai authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., September, 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

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

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

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., December, 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., December, 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., October, 2023

2022

Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment.

Kyosuke Takami, Yiling Dai, Brendan Flanagan, Hiroaki Ogata

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 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, 2022

An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz.

Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

Studies on Content Analysis and Ordering of Courses from a Knowledge-Based Perspective.

Yiling Dai

PhD thesis, 2021

Prerequisite-aware course ordering towards getting relevant job opportunities.

Yiling Dai, Masatoshi Yoshikawa, Kazunari Sugiyama

Expert Syst. Appl., 2021

2020

Estimating Knowledge Category Coverage by Courses Based on Centrality in Taxonomy.

Yiling Dai, Masatoshi Yoshikawa, Yasuhito Asano

IEICE Trans. Inf. Syst., 2020

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

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

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, 2016

2013

The Influence of Online Product Presentation and Seller Reputation on the Consumers' Purchase Intention across Different Involvement Products.

Qiuzhen Wang, Yiling Dai

Proceedings of the 17th Pacific Asia Conference on Information Systems, 2013