Brendan Flanagan

About Brendan Flanagan

Brendan Flanagan, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Kyoto University, specializes in the field of Educational Data Science, Learning Analytics, Educational Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning

Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz

Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender

A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises.

Beyond recommendation acceptance: explanation’s learning effects in a math recommender system

Automated labeling of PDF mathematical exercises with word N-grams VSM classification

3 Years of GOAL project in Public School: Leveraging Learning & Smartwatch Logs for Self-directed Learning

Personality-based tailored explainable recommendation for trustworthy smart learning system in the age of artificial intelligence

Brendan Flanagan Information

University

Position

Senior Lecturer at Japan

Citations(all)

1577

Citations(since 2020)

1364

Cited By

555

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

38

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Brendan Flanagan Skills & Research Interests

Educational Data Science

Learning Analytics

Educational Data Mining

Top articles of Brendan Flanagan

Title

Journal

Author(s)

Publication Date

EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning

Research and Practice in Technology Enhanced Learning

Hiroaki Ogata

Brendan Flanagan

Kyosuke Takami

Yiling Dai

Ryosuke Nakamoto

...

2024/1/1

Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz

Research and Practice in Technology Enhanced Learning

Ryosuke Nakamoto

Brendan Flanagan

Yiling Dai

Kyosuke Takami

Hiroaki Ogata

2024/1/1

Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender

International Journal of Distance Education Technologies (IJDET)

Kyosuke Takami

Brendan Flanagan

Yiling Dai

Hiroaki Ogata

2024/1/1

A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises.

Research & Practice in Technology Enhanced Learning

Brendan Flanagan

Zejie Tian

Taisei Yamauchi

Yiling Dai

Hiroaki Ogata

2024/1/1

Beyond recommendation acceptance: explanation’s learning effects in a math recommender system

Research and Practice in Technology Enhanced Learning

Yiling Dai

Kyosuke Takami

Brendan Flanagan

Hiroaki Ogata

2024/1/1

Automated labeling of PDF mathematical exercises with word N-grams VSM classification

Smart Learning Environments

Taisei Yamauchi

Brendan Flanagan

Ryosuke Nakamoto

Yiling Dai

Kyosuke Takami

...

2023/10/18

3 Years of GOAL project in Public School: Leveraging Learning & Smartwatch Logs for Self-directed Learning

LAK23 Conference Proceedings

Rwitajit Majumdar

Yuanyuan Yang

Huiyong Li

Brendan Flanagan

Hiroaki Ogata

2023/3/13

Personality-based tailored explainable recommendation for trustworthy smart learning system in the age of artificial intelligence

Smart Learning Environments

Kyosuke Takami

Brendan Flanagan

Yiling Dai

Hiroaki Ogata

2023/12/11

Learning in the Digital Age: Power of Shared Learning Logs to Support Sustainable Educational Practices

IEICE TRANSACTIONS on Information and Systems

Hiroaki OGATA

Rwitajit MAJUMDAR

Brendan FLANAGAN

2023/2/1

Visualization of education blockchain data: trends and challenges

Patrick Ocheja

Brendan Flanagan

Hiroaki Ogata

Solomon Sunday Oyelere

2023/12/1

Chatbots and EFL Learning: A Systematic Review

Steve Woollaston

Brendan Flanagan

Hiroaki Ogata

2023

Enhancing Self-Explanation Learning through a Real-Time Feedback System: An Empirical Evaluation Study

Sustainability

Ryosuke Nakamoto

Brendan Flanagan

Yiling Dai

Taisei Yamauchi

Kyosuke Takami

...

2023/11/2

Towards Predictable Process and Consequence Attributes of Data-Driven Group Work: Primary Analysis for Assisting Teachers with Automatic Group Formation

Educational Technology & Society

Changhao Liang

Izumi Horikoshi

Rwitajit Majumdar

Brendan Flanagan

Hiroaki Ogata

2023/10/1

Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach

Computers

Ryosuke Nakamoto

Brendan Flanagan

Taisei Yamauchi

Yiling Dai

Kyosuke Takami

...

2023/10/24

Automated matching of exercises with knowledge components

30th International Conference on Computers in Education Conference Proceedings

Zejie Tian

B Flanagan

Y Dai

H Ogata

2022

Learning and Evidence Analytics Framework (LEAF): Innovating Log Data Driven Services for Teaching and Learning

Interactive demo ISLS2022

Rwitajit Majumdar

C Liang

Hiroyuki Kuromiya

Huiyong Li

Brendan Flanagan

...

2022

Preliminary Personal Trait Prediction from High School Summer Vacation e-learning Behavior

Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior

Kyosuke Takami

Brendan Flanagan

Rwitajit Majumdar

Hiroaki Ogata

2022/3/21

Assessment Results on the Blockchain: A Conceptual Framework

Patrick Ocheja

Brendan Flanagan

Hiroaki Ogata

2022/7/26

Explainable English Material Recommendation Using an Information Retrieval Technique for EFL Learning

Kensuke TAKII

Brendan FLANAGAN

Huiyong LI

Yuanyuan YANG

Hiroaki OGATA

2022

Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning

Computers and Education: Artificial Intelligence

Albert CM Yang

Brendan Flanagan

Hiroaki Ogata

2022/1/1

See List of Professors in Brendan Flanagan University(Kyoto University)

Co-Authors

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