Towards an Automated Assessment Support for Student Contributions on Multiple Platforms

Abu-Amsha, Oula; Szilas, Nicolas; Schneider, Daniel

doi:10.1007/978-3-319-45153-4_58

Proceedings chapter

English

Towards an Automated Assessment Support for Student Contributions on Multiple Platforms

Contributors

Abu-Amsha, Oula; Szilas, Nicolas; Schneider, Daniel

Presented at

Lyon, France, 13-16 Septembre 2016

Published in

Verbert, K., Sharples, M. & Klobucar, T. (Ed.), Adaptive and Adaptable Learning. 11th European Conference on Technology Enhanced Learning, EC-TEL 2016

Publisher

Cham : Springer International Publishing

Publication date

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

Evaluation
Multi-platform

UNIGE affiliation entities

Faculté de psychologie et des sciences de l'éducation / Technologies de formation et apprentissage

UNIGE research groups

Technologies de formation et d'apprentissage (TECFA)

Funding

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. Verbert, K., Sharples, M. & Klobucar, T. (Ed.). Lyon, France. Cham : Springer International Publishing, 2016. doi: 10.1007/978-3-319-45153-4_58

Proceedings chapter (Accepted version)

Identifiers

PID : unige:95655
DOI : 10.1007/978-3-319-45153-4_58

ISBN

978-3-319-45152-7

530views

561downloads

Creation

05/07/2017 15:36:00

First validation

05/07/2017 15:36:00

Update

15/03/2023 01:51:29

Status update

15/03/2023 01:51:29

Last indexation

31/10/2024 07:23:20

Towards an Automated Assessment Support for Student Contributions on Multiple Platforms

Contributors

Presented at

Published in

Publisher

Publication date

Abstract

Keywords

UNIGE affiliation entities

UNIGE research groups

Funding

Citation (ISO format)

Main files (1)

Identifiers

ISBN

Technical informations

Creation

First validation

Update

Status update

Last indexation