Embedded Files
1st Workshop on
Call for Papers
Call for Papers
Overview
Overview
As educational data mining and learning analytics become deeply embedded in digital education infrastructures, establishing trustworthy data sharing practices is vital. This workshop at ICCE 2026 invites researchers and practitioners to explore the technical and socio-technical dimensions of sharing and reusing educational data. Furthermore, this workshop hosts the ReLEAF Data Challenge. Participants are encouraged to utilise the ReLEAF system to analyse provided datasets.
Schedule
Schedule
Paper presentations + hands-on tutorial (TBA)
Topics of interest
Topics of interest
We welcome contributions that address, but are not limited to, the following topics:
ReLEAF Data Challenge (Special Track): Predicting academic performance, analysing learning habits or self-regulation behaviours using the provided Learning Habits and/or Self-Directed Learning datasets.
Systems, architectures, case studies of educational data sharing and secondary use.
Frameworks, institutional governance models, stakeholder perspectives and communication and policies for educational data sharing and secondary use.
Privacy and ethical issues in learning analytics, educational data mining and educational technology research.
ReLEAF Data Challenge
ReLEAF Data Challenge
- Datasets
The challenge features two unique datasets from public lower secondary schools in Japan.
Learning Habits Dataset: A 4-year longitudinal dataset (2022-2025) containing learning habit data, derived from the BookRoll e-book system's reading logs (Flanagan & Ogata, 2018; Hsu et al., 2023; Ogata et al., 2015), alongside midterm and end-of-term test scores
Self-Directed Learning Dataset: A dataset combining logs from the BookRoll system (Flanagan & Ogata, 2018; Ogata et al., 2015) and the GOAL self-regulated learning support system (Majumdar et al., 2024; Li et al., 2021), collected during a winter break study aimed at verifying the effect of learning plan support based on students' knowledge states
2. Data access
2. Data access
Application form: https://tally.so/r/EkaW6X
Access period: 15 June to 15 September
See the ReLEAF site for the access method
Carefully read the terms of use
3. Support and review
3. Support and review
ReLEAF tutorial
Date and time: 1 July 16:00-17:00 (JST) 8 July 16:00-17:00 (JST)
The online meeting link will be sent to ReLEAF users. Please apply for data access beforehand.
The recording will be available to ReLEAF users.
Online system support is available every week. Please book a slot.
On ReLEAF, a user works on synthetic data to develop analysis code and submits a request to run the code on real data. Each submission is reviewed according to the review schedule.
3. Notes
3. Notes
Applications are welcome regardless of whether applicants intend to submit a paper.
After applying for data access, one can withdraw at any time without disadvantage.
Usage data is collected for research and development purposes according to the privacy policy.
Submission guideline
Submission guideline
Submission link: https://easychair.org/conferences/?conf=releaficce2026
Paper types
Full paper: 8-10 pages
Short paper: 5-6 pages
Extended summary: max 4 pages
Tracks
ReLEAF Data Challenge track
General track
All submissions must be written in English and follow the official ICCE 2026 Paper Template.
Duble blind review is applied.
Accepted papers will be published in the workshop proceedings and submitted to Elsevier for inclusion in Scopus.
At least one author of an accepted paper must register for ICCE 2026 and present the paper at the workshop.
If you are submitting a paper for the ReLEAF Data Challenge track:
Clearly state ReLEAF was used and cite the following paper: Ito, H., Hsu, C.-Y., & Ogata, H. (2026). Trustworthy Secondary Use of Educational Big Data with ReLEAF. The 2nd International Conference on Learning Evidence and Analytics (ICLEA) 2026. https://library.apsce.net/index.php/ICLEA/article/view/6318
Ensure that individuals or schools cannot be easily identified.
You will be requested to register your paper to ReLEAF Outputs Registry after publication.
Important dates
Important dates
Workshop organisers
Workshop organisers
Hibiki ITO, Kyoto University, Japan. Hibiki is a PhD candidate at the School of Informatics. His research focuses on trustworthy secondary use of educational data, and he is the lead developer of the ReLEAF data sharing system.
Chia-Yu HSU, Kyoto University, Japan. Chia-Yu is an Assistant Professor at the Academic Center for Computing and Media Studies, specialising in learning analytics and the modelling of learning habits and reading behaviours.
Rwitajit MAJUMDAR, Kumamoto University, Japan. Rwitajit is an Associate Professor at the Research and Education Institute for Semiconductors and Informatics, Division of Instructional System Studies. His research focuses on Human-data interaction in education and designing data-driven services for interactive learning platforms. He has conducted several workshops in ICCE, AIED, LAK and T4E.
Hiroaki OGATA, Kyoto University, Japan. Hiroaki is a Professor at the Academic Center for Computing and Media Studies. He is a leading expert in educational big data, a principal developer of the LEAF system and BookRoll, and has extensive experience organising LAK Data Challenges.
Program committee (alphabetical order)
Program committee (alphabetical order)
Brendan Flanagan, Ritsumeikan University, Japan
Taito Kano, Kyoto University, Japan
Nattapol Kritsuthikul, National Electronics and Computer Technology Center (NECTEC), Thailand
Huiyong Li, Kyushu University, Japan
Changhao Liang , Kyushu University, Japan
Qinyi Liu , University of Bergen, Norway
Ma Min, Kyoto University, Japan
Shitanshu Mishra, UNESCO MGIEP, India
Kohei Nakamura, Osaka Kyoiku University, Japan
Wang Qiyun, Nanyang Technological University, Singapore
Ramkumar Rajendran, IIT Bombay, India
Atsushi Shimada, Kyushu University, Japan
Thepchai Supnithi, National Electronics and Computer Technology Center (NECTEC), Thailand
Kensuke Takii, Naruto University of Education, Japan
Sam Urmian, University of Bergen, Norway
Christopher C.Y. Yang, Taipei University of Education, Taiwan
Albert Yang, National Chung Hsing University, Taiwan
Taisei Yamauchi, Kyoto University, Japan
Jui-Ying Wang, National Taiwan University, Taiwan
Contact
Contact
Hibiki Ito: hibiki.itoo [at] gmail.com
References
References
Flanagan, B., & Ogata, H. (2018). Learning analytics platform in higher education in Japan. Knowledge Management & E-Learning: An International Journal, 10(4), 469–484.
Hsu, C.-Y., Otgonbaatar, M., Horikoshi, I., Li, H., Majumdar, R., & Ogata, H. (2023). Chronotypes of Learning Habits in Weekly Math Learning of Junior High School. Proceedings of the 31st International Conference on Computers in Education, 1, 566–568.
Li, H., Majumdar, R., Chen, M.-R. A., & Ogata, H. (2021). Goal-oriented active learning (GOAL) system to promote reading engagement, self-directed learning behavior, and motivation in extensive reading. Computers & Education, 171(104239), 104239.
Majumdar, R., Li, H., Yang, Y., & Ogata, H. (2024). GOAL - A data-rich environment to foster self-direction skills across learning and physical contexts. Educational Technology & Society, 27(3), 61-82. https://doi.org/10.30191/ETS.202407_27(3).RP04
Ogata, H., Yin, C., Oi, M., Okubo, F., Shimada, A., Kojima, K., & Yamada, M. (2015). E-book-based learning analytics in university education. Proceedings of the 23rd International Conference on Computers in Education, 401–406.
Page updated
Google Sites
Report abuse