Proceedings chapter
Open access

Towards an Automated Assessment Support for Student Contributions on Multiple Platforms

Presented at Lyon, France, 13-16 Septembre 2016
PublisherCham : Springer International Publishing
Publication date2016

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.

  • Evaluation
  • Multi-platform
  • Autre - COINF
Citation (ISO format)
ABU-AMSHA, Oula, SZILAS, Nicolas, SCHNEIDER, Daniel. Towards an Automated Assessment Support for Student Contributions on Multiple Platforms. In: Adaptive and Adaptable Learning. 11th European Conference on Technology Enhanced Learning, EC-TEL 2016. Lyon, France. Cham : Springer International Publishing, 2016. doi: 10.1007/978-3-319-45153-4_58
Main files (1)
Proceedings chapter (Accepted version)

Technical informations

Creation07/05/2017 3:36:00 PM
First validation07/05/2017 3:36:00 PM
Update time03/15/2023 1:51:29 AM
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