Towards an automated assessment support for student contributions on multiple platforms

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.