LA@ICCE2018: 5th ICCE workshop on Learning Analytics (LA) & Joint Activity on predicting student performance Bayanihan Center Manila, Philippines, November 26-30, 2018 |
Conference website | http://icce2018.ateneo.edu |
Submission link | https://easychair.org/conferences/?conf=laicce2018 |
Submission deadline | August 17, 2018 |
The increasing amount of data generated in digital learning contexts provides opportunities to benefit from learning analytics as well as challenges related to interoperability, privacy, and pedagogical and organizational models. As a consequence, new methodologies and technological tools are necessary to analyse and make sense of these data and provide personalized scaffolding and services to stakeholders including students, faculty/teachers and administrators, as well as parents. Pedagogical and organisational models must also be incorporated in order to take advantage of the personalized scaffolding and services to ensure productive learning and teaching. In addition, access to data from different sources raises a number of concerns related to data sharing and interoperability, and protection of privacy for individuals and business interests for institutions.
Joint Activity on predicting student performance
This year participants will also have a chance to partake in a joint activity on the prediction of student performance by analysing reading patterns from logs of an e-book system. A dataset of anonymised reading log data is provided in advance to create models that can predict the final grade scores for each student. Participants will be encouraged to share their results and insights by submitting a paper for presentation at the workshop. For more details please refer to the joint activity website: https://lab.let.media.kyoto-u.ac.jp/icce2018la/.
We call for papers in addition to the joint activity that cover technical, theoretical, pedagogical, as well as organisational issues in learning analytics.
Submission Guidelines
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)
- Short paper (5 - 6 pages
- Position papers (max 3 pages)
List of Topics
We also welcome submissions on some of the topics concerning LA from the following (though not restrictive) list:
- Making sense of learning analytics
- Software systems and tools
- Implementation and organisational development
- Pedagogical models and learning analytics
- Gathering diverse learning data, e.g., related to linked data
- Algorithms for analytics based on gathered data
- Predictive models, visualisation and statistical analysis
- Privacy concerns and policy aspects related to LA
- Data sharing for learning analytics
- Evaluation and Assessment
- Standardization and Interoperability
- Challenges and approaches for scaling up LA in education practices
Organizing committee
- Brendan Flanagan (flanagan.brendanjohn.4n@kyoto-u.ac.jp)
- Weiqin Chen (weiqin.chen@oslomet.no)
- Hiroaki Ogata (hiroaki.ogata@gmail.com)
PC Members
- Gökhan Akçapınar
- Weiqin Chen
- Xiaoqing Gu
- Mohammad Nehal Hasnine
- Tore Hoel
- Ulrich Hoppe
- Anna Yu-Qing Huang
- Owen Lu
- Rwitajit Majumdar
- Jon Mason
- Shitanshu Mishra
- Kousuke Mouri
- Yuichi Ono
- Erlend Øverby
- Rekha Ramesh
Publication
All accepted papers for mini-conference-style workshop will appear in one volume of workshop proceedings with ISBN and will be indexed by Elsevier Bibliographic Database. All paper should follow the paper format of the main conference.
Contact
All questions about submissions should be emailed to Brendan Flanagan and/or Weiqin Chen (see contact details above).