Rchr
J-GLOBAL ID：200901079335309425
Update date: Apr. 07, 2024
DOBASHI Konomu
ドバシ コノム | DOBASHI Konomu
Affiliation and department：
Job title：
Professor (Information education)
Research field (1)：
Learning support systems
Research keywords (6)：
Learning analytics
, educational data mining
, Educational technology
, artificial intelligence
, information visualization
, creativity support
Research theme for competitive and other funds (3)：
- 2021 - 2024 Visualization of student engagement and real-time process mining research on learning logs
- 2018 - 2023 Learning analytics using LMS and research on process mining to support class practice
- 2015 - 2018 Research on data mining to improve the read-through ratio and lesson concentration of digital course materials
Papers (40)：
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Konomu Dobashi. Lesson Engagement and Outlier Extraction Analytics Through Learning Log Classification. Perspectives on Learning Analytics for Maximizing Student Outcomes. 2023. 208-245
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Konomu Dobashi. Sync Ratio and Cluster Heat Map for Visualizing Student Engagement. Educational Data Science: Essentials, Approaches, and Tendencies. 2023. 255-289
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Konomu Dobashi, Curtis P. Ho, Catherine P. Fulford, Meng-Fen Grace Lin, Christina Higa. Synchronization Ratio of Time-Series Cross-Section and Teaching Material Clickstream for Visualization of Student Engagement. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. 2022. 125-131
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土橋 喜. 教材クリックストリームにおける同期率と閲覧行動の分析. 研究報告ヒューマンコンピュータインタラクション(HCI). 2022. 2022. 31. 1-8
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Konomu Dobashi. Development of a Method to Visualize the Approximate Synchronization Ratio of a Teaching Material Clickstream in Class. Training, Education, and Learning Sciences. 2022. 59. 109-115
ｍore...
MISC (14)：
Books (1)：
-
Information visualization and problem finding support - Hypothesis generation by visualization of the problem structure
Arumu 2000
Lectures and oral presentations (11)：
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A Real-Time System for Analyzing Course Material Clickstreams during Class for Moodle Users
(23rd International Conference, AIED 2022, Durham, UK, July 27-31, Interactive Events 2020)
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A Heatmap Creation to Visualize Students' Engagement to the Classes using Material Page View and Quiz score
(JSiSE2019 2019)
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Course Material Development and Learning Analytics for Blended Classes using Moodle
(University of Hawaii at Manoa, Learning Design & Technology 2019)
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An Interactive Mining for Early Detection of Students with Learning Difficulties Using Moodle's Clickstream
(The IAFOR International Conference on Education - Hawaii(IICEHawaii2019), Programme & Abstract Book 2019)
-
Analysis and Visualization of Moodle Learning Log by Automatic Generation of a Time-series Cross-section Table
(The 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), FSDM 2018 Abstract Proceedings 2018)
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Education (3)：
- - 1996 東京大学大学院 工学系研究科 先端学際工学専攻
- - 1992 University of Tsukuba
- - 1979 Hosei University Faculty of Economics
Professional career (2)：
- Ph.D. (The University of Tokyo)
- Master of Systems Management (University of Tsukuba)
Work history (4)：
- 2004/04 - 現在 Aichi University Faculty of Modern Chinese Studies Professor (Information education)
- 2018/09 - 2019/08 University of Hawai'i at Manoa
- 1998/04 - 2003/03 Aichi University Faculty of Modern Chinese Studies Associate Professor (Information education)
- 1997/04 - 1998/03 Aichi University Faculty of Modern Chinese Studies Lecturer (Information education)
Awards (1)：
- 1992 - (財)関西データベース協議会平成3年度データベース・データベースシステム論文入賞
Association Membership(s) (7)：
ACM
, IEEE
, Japanese Society for Information and Systems in Education
, Japan Society for Educational Technology
, THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
, 人工知能学会
, 情報処理学会
