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Editorial - Analytics for Everyday Learning

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Please refer to these proceedings as

Angela Fessl, Stefan Thalmann, Mathieu D’Aquin, Peter Holtz, Stefan Dietze (Eds). Proceedings of the 1th Workshop on Analytics for Everyday Learning. In conjunction with the 13th European Conference on Technology Enhanced Learn- ing. Leeds, United Kingdome, September 4, 2018.

© 2018 for the individual papers by the paper authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

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AFEL 2018 – Analytics for Everyday Learning

Everyday learning becomes more and more important as learners, educators, knowledge workers, professionals etc. need to stay-up-to date for their daily learning and working activities. As technology evolves rapidly continuous everyday learning in fast changing environments will become a crucial part of the personal development.

The AFEL workshop brings together researchers and professionals from different backgrounds to provide a forum for discussing the multifaceted area of analytics for everyday learning. At the AFEL 2018 workshop, we structured presentations and discussions as follows:

Syeda Sana E Zainab and Mathieu D'Aquin.

Detection of online learning activity scopes.

Seren Yenikent, Peter Holtz, Stefan Thalmann, Mathieu D’Aquin and Joachim Kimmerle.

Evaluating the AFEL Learning Tool: Didactalia Users’ Experiences with Personal- ized Recommendations and Interactive Visualizations.

Angela Fessl, Alfred Wertner and Viktoria Pammer.

Challenges in Developing Automatic Learning Guidance in Relation to an Infor- mation Literacy Curriculum.

Angela Fessl, Dominik Kowald, Susana López Sola, Ana Moreno, Ricardo Alonso Maturana and Stefan Thalmann.

Analytics for Everyday Learning from two Perspectives: Knowledge Workers and Teachers.

Belgin Mutlu, Ilija Simic, Analia Cicchinelli, Vedran Sabol, Eduardo Veas.

Towards a Learning Dashboard for Community Visualization.

Angela Fessl, Stefan Thalmann Reflections on the Workshop

The AFEL Workshop was held for the first time. Nevertheless, we received several very mature papers that were submitted to the workshop and lively discussed in the workshop itself. The topics of discussion encompassed the some very detailed ques- tions about the presentations like for example how to provide learning analytics for everyday learning, automatic progress tracking with regard to a curriculum or possi- bilities for visualizing learning analytics data in a meaningful and sophisticated way.

On the other hand in the final discussion round we also talked about topics brought up by the participants including how the deal with learning analytics in each of their individual working environment and which challenges they are tackling to address.

We thank all participants for these fruitful discussions.

Additionally, we especially would like to thank the members of the program commit- tee for their invaluable work in scoping and promoting the workshop and quality as- suring the contributions with their peer reviews.

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Angela Fessl, Stefan Thalmann, Mathieu D’Aquin, Peter Holtz, Stefan Dietze Committees

Organizing Committee

• Mathieu d'Aquin -National University of Ireland Galway, Ireland

• Stefan Dietze - L3S Research Center, Germany

• Angela Fessl - Know-Center GmbH, Austria

• Peter Holtz - Leibnitz Insitut für Wissensmedien, Germany

• Stefan Thalmann - Graz University of Technology, Austria

Program Committee

• Alessandro Adamou - The Open University, Great Britain

• Carla Barreiros - Know-Center, Graz, Austria

• Dragan Gasevic - Monash University, Australia

• Jelena Jovanovic - University of Belgrade, Serbia

• Rene Kaiser - Know-Center, Graz, Austria

• Dominik Kowald - Know-Center, Graz, Austria

• Elisabeth Lex - Know-Center, Graz, Austria

• Tobias Ley - Tallinn University, Estland

• Viktoria Pammer-Schindler - Graz University of Technology, Austria

• Allan Smeaton - Dublin College University, Ireland

• Ilaria Tiddi - The Open University, Great Britain

• Ran Yu - L3S Research Center, Germany

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