UNIGE document Chapitre d'actes
previous document  unige:95655  next document
add to browser collection
Title

Towards an Automated Assessment Support for Student Contributions on Multiple Platforms

Authors
Published in Verbert, K., Sharples, M. & Klobucar, T. Adaptive and Adaptable Learning. 11th European Conference on Technology Enhanced Learning, EC-TEL 2016. Lyon, France - 13-16 Septembre 2016 - Cham: Springer International Publishing. 2016
Abstract Varying learning activities beyond existing LMS's can improve the learning experience [1]. However, managing student interactions and productions across multiple platforms can be very time consuming. This contribution proposes a novel approach to monitor student productions on varied online platforms, such as social networks, Wiki pages, Google Docs. We rely on a combination of techniques: data is collected through web scraping or web APIs, then synthetic information and varied analysis are applied, and finally the results are presented through a web application. We applied our approach to a course where the students contribute on a private social network, Google Docs, and on a MediaWiki. The pilot is built with the R programming language.
Keywords EvaluationMulti-platform
Identifiers
ISBN: 978-3-319-45152-7
Full text
Structures
Research group Technologies de formation et d'apprentissage (TECFA)
Project COINF
Citation
(ISO format)
ABU-AMSHA, Oula, SZILAS, Nicolas, SCHNEIDER, Daniel. Towards an Automated Assessment Support for Student Contributions on Multiple Platforms. In: Verbert, K., Sharples, M. & Klobucar, T. (Ed.). Adaptive and Adaptable Learning. 11th European Conference on Technology Enhanced Learning, EC-TEL 2016. Lyon, France. Cham : Springer International Publishing, 2016. https://archive-ouverte.unige.ch/unige:95655

15 hits

28 downloads

Update

Deposited on : 2017-07-25

Export document
Format :
Citation style :