LILE2019: 8th International Workshop on Learning and Education with Web Data Boston, MA, United States, June 30, 2019 |
Conference website | http://lile2019.wordpress.com |
Submission link | https://easychair.org/conferences/?conf=lile2019 |
Submission deadline | April 19, 2019 |
Building on the previous seven editions and its growing community, LILE2019 will provide an interdisciplinary forum for researchers and practitioners who make innovative use of Web data for educational purposes, spanning areas such as learning analytics, Web mining, data and Web science, psychology and the social sciences.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Research papers long - up to 8 pages, short - up to 4 pages
- Posters up to 4 pages
All submissions must be written in English and must be formatted according to the ACM format (https://www.acm.org/publications/proceedings-template). Please submit your contributions electronically in PDF format via the LILE2019 submission system at https://easychair.org/conferences/?conf=lile2019. Accepted research papers will be published as part of the satellite proceedings of ACM Web Science 2019.
IMPORTANT DATES
Research papers (will be published as part of the satellite proceedings of ACM Web Science 2019):
- Submission deadline:
5 April 201912 April 2019 - Notifications: 19 April 2019
- Camera-ready papers due: 26 April 2019
Posters:
- Submission deadline: 26 April 2019
- Notifications: 3 May 2019
LILE 2019 workshop day: 30 June 2019
Topics
- Learning analytics & educational data mining in Web-based (informal & formal) learning
- Investigating learning behavior through Web data
- Open access to educational data and resources
- Web mining and Web science for understanding online learning
- Analytics of pattern and notions of learning in the Social Web
- Using the Web of Data for personalization and context-awareness in Web-based learning
- Exploration of informal learning activities on the Web
- Search As Learning (SAL): understanding learning during Web search
- schema.org and LRMI for annotating and exploring educational related Web content
- Understanding learning from user activity logs and behavioral traces
- Visual analytics of educational data
- Knowledge graphs and structured data for sharing and reusing learning and knowledge resources
- Structured knowledge graphs for analyzing & interpreting learning activity and resource data
- Entity-centric approaches for analyzing and understanding learning activities
- Light-weight educational metadata schemas and vocabularies
- Semantic & syntactic mappings between educational schemas and vocabularies
- Controlled vocabularies, schemas and ontologies for Web-based learning
- Linked Data and schema.org/Microdata in learning analytics and educational data mining
- Using Web data and taxonomies to represent learning goals and organizational objectives
- Collaborative learning on the Web of Data
Venue
The conference will be held in Boston, MA, USA on 30 June 2019.
Organizers
- Ran Yu (GESIS - Leibniz Institute for the Social Sciences, Germany)
- Ralph Ewerth (Leibniz Universität Hannover & Leibniz Information Centre for Science and Technology - TIB), Germany)
- Mathieu d'Aquin (Insight Centre for Data Analytics, Ireland)
- Dragan Gasevic (Monash University, Australia)
- Joachim Kimmerle (Knowledge Media Research Center & Eberhard Karls University Tübingen, Germany)
- Eelco Herder (Radboud University Nijmegen, Netherlands)
Contact
Contact information is available on the conference Website: http://lile2019.wordpress.com