Learning Support Systems Based on Cohesive Learning Analytics
Fumiya Okubo, Masanori Yamada, Misato Oi, Atsushi Shimada, Yuta Taniguchi, 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.
Automated Recommendations for Revising Lecture Slides Using Reading Activity Data
Erwin Daniel Lopez Zapata, Cheng Tang, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
In Proceedings of the 32nd International Conference on Computers in Education (ICCE 2024),
2024.
Exploring the Role of Metacognition in Enhancing Learning Outcomes through Learning Analytics Dashboard
Masanori Yamada, Yuta Taniguchi, Min Lu, Xuewang Geng
In Proceedings of eLearn: World Conference on EdTech (eLearn 2024),
2024.
QA-Knowledge Attention for Exam Performance Prediction
Yongle Ren, Cheng Tang, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
In Proceedings of the 19th European Conference on Technology Enhanced Learning (EC-TEL 2024),
2024.
A Human-in-the-Loop Annotation Framework for Surveillance Scenarios with Enhanced Overlapping Object Detection
Dao Zhou, Tsubasa Minematsu, Cheng Tang, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
In Proceedings of the 30th International Workshop on Frontiers of Computer Vision (IW-FCV 2024),
2024.
LECTOR: An Attention-Based Model to Quantify E-Book Lecture Slides and Topics Relationships
Erwin Daniel Lopez Zapata, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
In Proceedings of the 16th International Conference on Educational Data Mining (EDM 2023),
2023.
Contrastive Learning for Reading Behavior Embedding in E-Book System
Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada
In Proceedings of the 24th International Conference on Artificial Intelligence in Education (AIED 2023),
2023.
Detection of At-Risk Students in Programming Courses[PDF]
Ikkei Igawa, Yuta Taniguchi, Tsubasa Minematsu, Fumiya Okubo, Atsushi Shimada
In Proceedings of the 30th International Conference on Computers in Education (ICCE 2022),
2022.
How Does Analysis of Handwritten Notes Provide Better Insights for Learning Behavior?
Boyi Li, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
In Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK 2022),
2022.
Encoding Students Reading Characteristics to Improve Low Academic Performance Predictive Models
Erwin Daniel Lopez Zapata, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
In Companion Proceedings of the 12th International Learning Analytics and Knowledge Conference (LAK 2022),
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, Atsushi Shimada
In Companion Proceedings of the 12th International Learning Analytics and Knowledge Conference (LAK 2022),
2022.
Using a Visualization System to Enhance Students' Online Learning Participation Based on Learning Behaviors and Social Presence
Yufan Xu, Li Chen, Xuewang Geng, Yuta Taniguchi, Yoshiko Goda, Atsushi Shimada, Masanori Yamada
In Proceedings of IEEE International Conference on Engineering, Technology and Education (TALE ),
2021.
How to Design Collaborative Problem Solving-Based STEM Lessons Based on the Perspective of Learning Behaviors?
Li Chen, Yuta Taniguchi, Atsushi Shimada, Masanori Yamada
In Proceedings of IEEE International Conference on Engineering, Technology and Education (TALE 2020),
2020.
Development of a Visualization System to Enhance Participation in Computer-Supported Collaboration Learning
Yufan Xu, Yuta Taniguchi, Yoshiko Goda, Atsushi Shimada, Masanori Yamada
In Proceedings of IEEE International Conference on Engineering, Technology and Education (TALE 2020),
2020.
Understanding Jump Back Behaviors in E-Book System[PDF]
Boxuan Ma, Jiadong Chen, Chenhao Li, Likun Liu, Min Lu, Yuta Taniguchi, Shin'ichi Konomi
In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK 2020),
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, Masanori Yamada
In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK 2020),
2020.
Toward Automatic Identification of Dataset Names in Scholarly Articles
Daisuke Ikeda, Yuta Taniguchi
In Proceedings of the 8th International Conference on Data Science and Institutional Research (DSIR 2019),
2019.
Recommending Highlights on Students' E-Textbooks[PDF]
Yuta Taniguchi, Atsushi Shimada, Masanori Yamada, Shin'ichi Konomi
In Proceedings of the 30th conference of the Society for Information Technology and Teacher Education (SITE 2019),
2019.
Page-Wise Difficulty Level Estimation Using E-Book Operation Logs
Tetsuya Shiino, Atsushi Shimada, Tsubasa Minematsu, Kohei Hatano, Yuta Taniguchi, Shin'ichi Konomi, Rinichiro Taniguchi
In Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK 2019),
2019.
BR-Map: Concept Map System Using e-Book logs
Masanori Yamada, Atsushi Shimada, Misato Oi, Yuta Taniguchi, Shin'ichi Konomi
In Proceedings of the 15th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2018),
2018.
E-Book Learner Behaviors Under Meaningful Learning Modes
Jingyun Wang, Fumiya Okubo, Yuta Taniguchi
In Proceedings of the 13th Multidisciplinary Academic Conference on Education, Teaching and Learning (MAC-ETL 2018),
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, Shin'ichi Konomi
In Proceedings of the 11th International Conference on Educational Data Mining (EDM 2018),
2018.
On the Prediction of Students' Quiz Score by Recurrent Neural Network
Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Yuta Taniguchi, Shin'ichi Konomi
In Companion Proceedings of the 8th International Conference on Learning Analytics & Knowledge (LAK 2018),
2018.
Towards a Learner-Centric Notification Environment for Multimodal Learning Platforms
Shin'ichi Konomi, Atsushi Shimada, Masanori Yamada, Fumiya Okubo, Yuta Taniguchi, Jingyun Wang
In Proceedings of the Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA) Workshop (EC-TEL 2017),
2017.
Face-to-Face Teaching Analytics: Extracting Teaching Activities from E-Book Logs via Time-Series Analysis
Daiki Suehiro, Yuta Taniguchi, Atsushi Shimada, Hiroaki Ogata
In Proceedings of IEEE 17th International Conference on Advanced Learning Technologies (ICALT 2017),
2017.
Real-Time Learning Analytics for C Programming Language Courses
Xinyu Fu, Atsushi Shimada, Hiroaki Ogata, Yuta Taniguchi, Daiki Suehiro
In Proceedings of the 7th International Learning Analytics & Knowledge Conference (LAK 2017),
2017.
Discover Overlapping Topical Regions by Geo-Semantic Clustering of Tweets[PDF]
Yuta Taniguchi, Daiki Monzen, Lutfiana Sari Ariestien, Daisuke Ikeda
In Proceedings of the 8th International Symposium on Mining and Web (MAW 2015) (IEEE 29th International Conference on Advanced Information Networking and Applications (AINA 2015)),
2015.
Multi-Level Attention Networks for Font Style Transfer between Different Languages
Chenhao Li, Yuta Taniguchi, Min Lu, Shin'ichi Konomi
Visual Computing 2020, 2020.
Design a Course Recommendation System Based on Association Rule for Hybrid Learning Environments
Boxuan Ma, Yuta Taniguchi, 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, 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, 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, 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, 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, Shin'ichi Konomi
The 81th National Convention of IPSJ, 2019.
Comparative Analysis of Adaptive Learning Path Recommendation Algorithms
Boxuan Ma, Yuta Taniguchi, 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, 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, Hiroaki Ogata
電子情報通信学会 信学技報 教育工学研究会 (ET2017-79), 2018.
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, 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, Rin-Ichiro Taniguchi
Best Paper Award
The 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA2019), 2019.