Research Institute for Information Technology, Kyushu University, Fukuoka, Japan九州大学 大学院 情報基盤研究開発センター Section of Educational Information教育情報基盤研究部門 Associate Professor准教授
Learning Support Systems Based on Cohesive Learning Analytics
Fumiya Okubo, Masanori Yamada, Misato Oi, Atsushi Shimada, Yuta Taniguchi, and Shin'ichi Konomi
Myint Swe Khine(ed.),
Emerging Trends in Learning Analytics: Leveraging the Power of Education Data,
pp.223–248,
2019,
Brill Publisher, Netherlands.
Topic-Based Representation of Learning Activities for New Learning Pattern Analytics
Jinghao Wang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, and Atsushi Shimada
In Proceedings of the 30th International Conference on Computers in Education (ICCE2022),
2022.
Assessment of At-Risk Students' Predictions from E-Book Activities Representations in Practical Applications
Erwin Daniel Lopez Zapata, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, and Atsushi Shimada
In Proceedings of the 30th International Conference on Computers in Education (ICCE2022),
2022.
Detection of At-Risk Students in Programming Courses
Ikkei Igawa, Yuta Taniguchi, Tsubasa Minematsu, Fumiya Okubo, and Atsushi Shimada
In Proceedings of the 30th International Conference on Computers in Education (ICCE2022),
2022.
Development and Evaluation of a Field Environment Digest System for Agricultural Education
Kanu Shiga, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada, and Rin-Ichiro Taniguchi
In Proceedings of IFIP World Conference on Computers in Education (WCCE2022),
.
A System to Realize Time- and Location-Independent Teaching and Learning among Learners through Learning-Articles
Seiyu Okai, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Hideaki Uchiyama, and Atsushi Shimada
In Proceedings of IFIP World Conference on Computers in Education (WCCE2022),
.
How Does Analysis of Handwritten Notes Provide Better Insights for Learning Behavior?
Boyi Li, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, and Atsushi Shimada
In Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK2022),
pp.549–555,
2022.
Encoding Students Reading Characteristics to Improve Low Academic Performance Predictive Models
Erwin Daniel Lopez Zapata, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, and Atsushi Shimada
In Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK2022),
pp.36–38,
2022.
New Perspective on Input Feature Analysis for Early Feedback by Student Performance Prediction Considering the Future Effect
Ryusuke Murata, Fumiya Okubo, Tsubasa Minematsu, Yuta Taniguchi, and Atsushi Shimada
In Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK2022),
pp.95–97,
2022.
Coding Trajectory Map: Student Programming Situations Made Visually Locatable
Yuta Taniguchi, Tsubasa Minematsu, Fumiya Okubo, and Atsushi Shimada
In Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK2022),
pp.98–100,
2022.
Few-Shot Font Style Transfer between Different Languages
Chenhao Li, Yuta Taniguchi, Min Lu, and Shin'ichi Konomi
In Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV2021),
pp.433–442,
2021.
How to Design Collaborative Problem Solving-Based STEM Lessons Based on the Perspective of Learning Behaviors?
Li Chen, Yuta Taniguchi, Atsushi Shimada, and Masanori Yamada
In Proceedings of IEEE International Conference on Engineering, Technology and Education (TALE2020),
pp.197–204,
2020.
Development of a Visualization System to Enhance Participation in Computer-Supported Collaboration Learning
Yufan Xu, Yuta Taniguchi, Yoshiko Goda, Atsushi Shimada, and Masanori Yamada
In Proceedings of IEEE International Conference on Engineering, Technology and Education (TALE2020),
pp.635–639,
2020.
Relationship between Learning Behaviors and Social Presence in Online Collaborative Learning
Yufan Xu, Yuta Taniguchi, Yoshiko Goda, Atsushi Shimada, and Masanori Yamada
In Proceedings of the 17th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA2020),
2020.
Course Recommendation for University Environment
Boxuan Ma, Yuta Taniguchi, and Shin'ichi Konomi
In Proceedings of the 13th International Conference on Educational Data Mining (EDM2020),
pp.460–466,
2020.
Examining Language-Agnostic Methods of Automatic Coding in the Community of Inquiry Framework
Yuta Taniguchi, Shin'ichi Konomi, and Yoshiko Goda
In Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA2019),
2019.
K-Tips: Knowledge Extension Based on Tailor-Made Information Provision System
Keita Nakayama, Atsushi Shimada, Tsubasa Minematsu, Yuta Taniguchi, and Rin-Ichiro Taniguchi
In Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA2019),
2019.
Investigating Error Resolution Processes in C Programming Exercise Courses
Yuta Taniguchi, Atsushi Shimada, and Shin'ichi Konomi
In Proceedings of the 12th International Conference on Educational Data Mining (EDM2019),
pp.655–658,
2019.
Optimizing Assignment of Students to Courses Based on Learning Activity Analytics
Atsushi Shimada, Kousuke Mouri, Yuta Taniguchi, Hiroaki Ogata, Rin-Ichiro Taniguchi, and Shin'ichi Konomi
In Proceedings of the 12th International Conference on Educational Data Mining (EDM2019),
pp.178–187,
2019.
Toward Automatic Identification of Dataset Names in Scholarly Articles
Daisuke Ikeda, and Yuta Taniguchi
In Proceedings of the 8th International Conference on Data Science and Institutional Research (DSIR2019),
pp.1128–1134,
2019.
Recommending Highlights on Students' E-Textbooks
Yuta Taniguchi, Atsushi Shimada, Masanori Yamada, and Shin'ichi Konomi
In Proceedings of the 30th conference of the Society for Information Technology and Teacher Education (SITE2019),
pp.1128–1134,
2019.
Page-Wise Difficulty Level Estimation Using E-Book Operation Logs
Tetsuya Shiino, Atsushi Shimada, Tsubasa Minematsu, Kohei Hatano, Yuta Taniguchi, Shin'ichi Konomi, and Rinichiro Taniguchi
In Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK2019),
pp.233–234,
2019.
BR-Map: Concept Map System Using e-Book logs
Masanori Yamada, Atsushi Shimada, Misato Oi, Yuta Taniguchi, and Shin'ichi Konomi
In Proceedings of the 15th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA2018),
pp.248–255,
2018.
E-Book Learner Behaviors Under Meaningful Learning Modes
Jingyun Wang, Fumiya Okubo, and Yuta Taniguchi
In Proceedings of the 13th Multidisciplinary Academic Conference on Education, Teaching and Learning (MAC-ETL2018),
pp.261–268,
2018.
How are Students Struggling in Programming? Understanding Learning Processes from Multiple Learning Logs
Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada, and Shin'ichi Konomi
In Proceedings of the 11th International Conference on Educational Data Mining (EDM2018),
pp.510–513,
2018.
Relation Analysis between Learning Activities on Digital Learning System and Seating Area in Classrooms
Atsushi Shimada, Fumiya Okubo, Yuta Taniguchi, Hiroaki Ogata, Rin-Ichiro Taniguchi, and Shin'ichi Konomi
In Proceedings of the 11th International Conference on Educational Data Mining (EDM2018),
pp.561–564,
2018.
Effects of Prior Knowledge of High Achievers on Use of E-Book Highlights and Annotations
Misato Oi, Fumiya Okubo, Yuta Taniguchi, Masanori Yamada, and Shin'ichi Konomi
In Proceedings of the 25th International Conference on Computers in Education (ICCE2017),
pp.682–687,
2017.
Analysis on Students' Usage of Highlighters on E-Textbooks in Classroom
Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada, and Shin'ichi Konomi
In Proceedings of the 25th International Conference on Computers in Education (ICCE2017),
pp.514–516,
2017.
A Visualization System for Predicting Learning Activities Using State Transition Graphs
Fumiya Okubo, Atsushi Shimada, Yuta Taniguchi, and Shin'ichi Konomi
In Proceedings of the 14th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA2017),
pp.173–180,
2017.
Exploring Students' Learning Journals with Web-Based Interactive Report Tool
Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada, and Shin'ichi Konomi
In Proceedings of the 14th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA2017),
pp.251–254,
2017.
Revealing Hidden Impression Topics in Students' Journals Based on Nonnegative Matrix Factorization
Yuta Taniguchi, Daiki Suehiro, Atsushi Shimada, and Hiroaki Ogata
In Proceedings of IEEE 17th International Conference on Advanced Learning Technologies (ICALT2017),
pp.298–300,
2017.
Face-to-Face Teaching Analytics: Extracting Teaching Activities from E-Book Logs via Time-Series Analysis
Daiki Suehiro, Yuta Taniguchi, Atsushi Shimada, and Hiroaki Ogata
In Proceedings of IEEE 17th International Conference on Advanced Learning Technologies (ICALT2017),
pp.267–268,
2017.
M2B System: A Digital Learning Platform for Traditional Classrooms in University
Hiroaki Ogata, Yuta Taniguchi, Daiki Suehiro, Atsushi Shimada, Misato Oi, Fumiya Okubo, Masanori Yamada, and Kentaro Kojima
In Practitioner Track Proceedings of the 7th International Learning Analytics & Knowledge Conference (LAK2017),
pp.155–162,
2017.
Real-Time Learning Analytics for C Programming Language Courses
Xinyu Fu, Atsushi Shimada, Hiroaki Ogata, Yuta Taniguchi, and Daiki Suehiro
In Proceedings of the 7th International Learning Analytics & Knowledge Conference (LAK2017),
pp.280–288,
2017.
Graph Clustering Based on Optimization of a Macroscopic Structure of Clusters
Yuta Taniguchi, and Daisuke Ikeda
In Proceedings of the 14th International Conference on Discovery Science (DS2011),
pp.335–350,
2011.
Refereed Workshop Papers
Exploring the Use of Probabilistic Latent Representations to Encode the Students' Reading Characteristics
Erwin Daniel Lopez Zapata, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, and Atsushi Shimada
In Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (DC2022),
pp.1–10,
2022.
Predicting Student Performance Based on Lecture Materials Data Using Neural Network Models
Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, and Atsushi Shimada
In Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (DC2022),
pp.11–20,
2022.
Composing Learning Environments with E-Textbook System
Yuta Taniguchi, Tsubasa Minematsu, and Atsushi Shimada
In Proceedings of the 3rd International Workshop on Intelligent Textbooks (iTextbooks2021),
pp.35–39,
2021.
Exploration and Explanation: An Interactive Course Recommendation System for University Environments
Boxuan Ma, Min Lu, Yuta Taniguchi, and Shin'ichi Konomi
In Proceedings of the ACM IUI 2021 Workshops (ESIDA2021),
2021.
The Normalized Impact Index for Keywords in Scholarly Papers to Detect Subtle Research Topics
Daisuke Ikeda, Yuta Taniguchi, and Kazunori Koga
In Proceedings of the 8th International Workshop on Mining Scientific Publications (WOSP2020),
pp.42–47,
2020.
Collecting and Integrating Multimodal Data from a Programming Exercise Environment
Yuta Taniguchi, and Atsushi Shimada
In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge,
pp.459–462,
2020.
Exploring the Design Space for Explainable Course Recommendation Systems in University Environments
Boxuan Ma, Min Lu, Yuta Taniguchi, and Shin'ichi Konomi
In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (XLA2020),
pp.492–499,
2020.
Understanding Jump Back Behaviors in E-Book System
Boxuan Ma, Jiadong Chen, Chenhao Li, Likun Liu, Min Lu, Yuta Taniguchi, and Shin'ichi Konomi
In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (DC2020),
pp.623–631,
2020.
Can the Area marked in eBook Readers Specify Learning Performance?
Yufan Xu, Xuewang Geng, Chen Li, Satomi Hamada, Yuta Taniguchi, Hiroaki Ogata, Atsushi Shimada, and Masanori Yamada
In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (DC2020),
pp.638–648,
2020.
On the Prediction of Students' Quiz Score by Recurrent Neural Network
Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Yuta Taniguchi, and Shin'ichi Konomi
In Companion Proceedings of the 8th International Conference on Learning Analytics & Knowledge (CrossMMLA2018),
pp.1–6,
2018.
Towards a Learner-Centric Notification Environment for Multimodal Learning Platforms
Shin'ichi Konomi, Atsushi Shimada, Masanori Yamada, Fumiya Okubo, Yuta Taniguchi, and Jingyun Wang
In Proceedings of Workshop on Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA2017),
2017.
Multi-Level Attention Networks for Font Style Transfer between Different Languages
Chenhao Li, Yuta Taniguchi, Min Lu, and Shin'ichi Konomi
Visual Computing 2020, 2020.
構成的学習環境
谷口雄太, 峰松翼, and 島田敬士
第31回教育学習支援情報システム研究発表会 (CLE31), 2020.
Design a Course Recommendation System Based on Association Rule for Hybrid Learning Environments
Boxuan Ma, Yuta Taniguchi, and Shin'ichi Konomi
火の国情報シンポジウム2019, 2019.
Preliminary Analysis of Tweets to Predict Suicide Risks
Yuhong Lu, Min Lu, Yuta Taniguchi, and Shin'ichi Konomi
The 72nd Joint Conference of Electrical, Electronics and Information Engineers in Kyushu, 2019.
Exploring a Model for Evaluating Teaching Slides Based on Their Layouts
Jiadong Chen, Yuta Taniguchi, Min Lu, Kohei Hatano, and Shin'ichi Konomi
The 72nd Joint Conference of Electrical,Electronics and Information Engineers in Kyushu, 2019.
Automatically Generate Slide Images Using Generative Adversarial Nets
Chenhao Li, Yuta Taniguchi, Min Lu, and Shin'ichi Konomi
The 72nd Joint Conference of Electrical, Electronics and Information Engineers in Kyushu, 2019.
Cleaning Massive Training Data for Intelligent Programming Support System
Likun Liu, Yuta Taniguchi, Min Lu, and Shin'ichi Konomi
The 72nd Joint Conference of Electrical, Electronics andInformation Engineers in Kyushu, 2019.
Learning Path Recommendation in University Environments Based on Sequence Mining
Boxuan Ma, Yuta Taniguchi, and Shin'ichi Konomi
The 81th National Convention of IPSJ, 2019.
Comparative Analysis of Adaptive Learning Path Recommendation Algorithms
Boxuan Ma, Yuta Taniguchi, and Shin'ichi Konomi
The 71st Joint Conference of Electrical, Electronics and Information Engineers in Kyushu, 2018.
Data-Driven Feedback for Students Based on Word Clouds
Shiman Cui, Yuta Taniguchi, and Shin'ichi Konomi
The 71st Joint Conference of Electrical, Electronics and Information Engineers in Kyushu, 2018.
Learning Style Based Collaborative Learning Construction: Can it Improve Group Work in a Learning Environment
Yiduo Gao, Yuta Taniguchi, Shin'ichi Konomi, Kentaro Kojima, Atsushi Shimada, and Hiroaki Ogata
電子情報通信学会 信学技報 教育工学研究会 (ET2017-79), 2018.
Extracting Teaching Activities from E-Book Logs Using Time-Series Shapelets
Daiki Suehiro, Yuta Taniguchi, Atsushi Shimada, and Hiroaki Oagata
第20回画像の認識・理解シンポジウム（MIRU2017), 2017.
Behavioral Analysis and Visualization on Learning Logs from the CALL Course
Li Huiyong, Tsuchiya Tomoyuki, Suehiro Daiki, Taniguchi Yuta, Shimada Atsushi, Suzuki Yubun, Ohashi Hiroshi, and Ogata Hiroaki
2017年度 人工知能学会全国大会, 2017.
iPadを用いた「デジたま講座」教材・教具の開発
竹田正幸, 池田大輔, 谷口雄太, 脇田早苗, and 池内昌子
日本情報科教育学会第6回全国大会, 2013.
Awards受賞
プログラミング演習の軌跡：学生のコーディング過程理解のための教師支援
谷口雄太, 峰松翼, 大久保文哉, and 島田敬士
情報処理学会 山下記念研究賞 (IPSJ Yamashita SIG Research Award)
第35回教育学習支援情報システム研究発表会 (CLE35).
K-Tips: Knowledge Extension Based on Tailor-Made Information Provision System
Keita Nakayama, Atsushi Shimada, Tsubasa Minematsu, Yuta Taniguchi, and Rin-Ichiro Taniguchi
Best Paper Award
The 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA2019), 2019.