[CfP] LILE2018 (ACM WebSci2018 workshop on Learning and Education with Web Data)

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Call for Papers

Linked Learning 2018: 7th International Workshop on Learning and 
Education with Web Data (#LILE2018)

=> Website: http://lile.linkededucation.org/2018
=> collocated with ACM Web Science 2018 (WebSci18, 
https://websci18.webscience.org/)
=> 27 May, 2018 in Amsterdam, Netherlands
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IMPORTANT DATES

- Submission deadline: 20 March 2018
- Notifications: 3 April 2018
- Camera-ready papers due: 24 April
- LILE 2018 workshop day: 27 May 2018

SCOPE

Building on the success of several previous editions, LILE2018 aims at 
addressing such challenges by providing a 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.

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

SUBMISSIONS

We welcome the following types of contributions.

- Short papers (up to 4 pages)
- Full papers (up to 8 pages)

All submissions must be written in English and must be formatted 
according to the ACM format 
(http://www.acm.org/sigs/publications/proceedings-templates). Please 
submit your contributions electronically in PDF format via the LILE2018 
submission system at 
https://www.easychair.org/conferences/?conf=lile2018. Accepted papers 
will be published as part of the satellite proceedings of ACM Web 
Science 2018 (publisher to be confirmed). Furthermore, the WebSci218 
organisation team is planning to invite selected workshop submissions to 
a dedicated journal special issue.

ORGANISERS

- Stefan Dietze (L3S Research Center, Germany)
- Mathieu d'Aquin (Insight Centre for Data Analytics, Ireland)
- Dragan Gasevic (University of Edinburgh, United Kingdom)
- Joachim Kimmerle (Knowledge Media Research Center, Germany)
- Eelco Herder (Radboud University Nijmegen, Netherlands)

CONTACT

For any enquiries, please contact lile@linkededucation.org.

Received on Tuesday, 16 January 2018 09:31:11 UTC