DC@LAK22: The 4rd Workshop on Predicting Performance Based on the Analysis of Reading Behavior Online California, CA, United States, March 21-25, 2022 |
Conference website | https://www.solaresearch.org/events/lak/lak22/ |
Submission link | https://easychair.org/conferences/?conf=dclak22 |
Submission deadline | December 17, 2021 |
As the adoption of digital learning materials in modern education systems is increasing, the analysis of reading behavior and their effect on student performance gains attention. The main motivation of this workshop is to foster research into the analysis of students’ interaction with digital textbooks, and find new ways in which it can be used to inform and provide meaningful feedback to stakeholders: teachers, students and researchers. The previous years workshops at LAK19 and LAK20 focused on reading behavior in higher education, and LAK21 on secondary school reading behavior. As the COVID-19 pandemic has bought about sudden change in learning environments around the world, participants of this year’s workshop will be given the unique opportunity to analyze the changes from onsite classes in 2019 and online classes in 2020 in the same education institution. As with previous years, additional information on lecture schedules and syllabus will also enable the analysis of learning context for further insights into the preview, in-class, and review reading strategies that learners employ. Participant contributions will be collected as evidence in a repository provided by the workshop and will be shared with the wider research community to promote the development of research into reading analysis systems.
We welcome submissions on some of the following topics(though not restrictive):
- Student performance/at-risk prediction
- Student reading behavior self-regulation profiles spanning the entire course
- Preview, in-class, and review reading patterns
- Student engagement analysis; and behavior change detection
- Visualization methods to inform and provide meaningful feedback to stakeholders
Participants will also be encouraged to contribute their programs/source code created in the workshop to an ongoing open learning analytics tool development project for inclusion as an analysis feature.
More information about the workshop and dataset can be found at: https://sites.google.com/view/lak22datachallenge
Important Dates
Initial paper submission: January 4th, 2022 December 17, 2021
Notification of acceptance: January 14th, 2022
Registration deadline: TBA
Camera-Ready deadline: TBA
Submission Guidelines
Initial paper submissions should at least give an outline of work in progress with some preliminary analysis.
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers (8 - 10 pages) (Initial paper submission: 6 pages or more)
- Short paper (5 - 6 pages) (Initial paper submission: 4 pages or more)
- Position papers (2 - 3 pages) (Initial paper submission: 1 pages or more)
Organizing committee
- Brendan Flanagan (Kyoto University, Japan)
- Atsushi Shimada (Kyushu University, Japan)
- Fumiya Okubo (Kyushu University, Japan)
- Huiyong Li (Kyoto University, Japan)
- Rwitajit Majumdar (Kyoto University, Japan)
- Hiroaki Ogata (Kyoto University, Japan)
Contact
All questions about submissions should be emailed: dclak21 [at] gmail [dot] com