Towards a transferable and domain-independent reputation indicator to group students in the Collaborative Logical Framework approach

Jesus L. Lobo, Olga C. Santos, Jesus G. Boticario

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

Collaborative indicators derived from quantitative statistical indicators of students' interactions in forums can be used by e-learning systems in order to support the collaborative behaviour and motivation of students. The main objective of this research is to achieve a transferable and domain-independent reputation indicator, considering the information extracted from social network analysis, statistical indicators, and opinions received by students in terms of ratings. This paper describes how to consider the reputation indicator in a collaborative environment in order to group students (distributing the most prominent students into different groups) aimed to improve the collaborative indicators (such as initiative, activity, regularity).

Original languageEnglish
Pages (from-to)24-32
Number of pages9
JournalCEUR Workshop Proceedings
Volume1181
Publication statusPublished - 2014
EventWorkshop of the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 - Co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 - Aalborg, Denmark
Duration: 7 Jul 201411 Jul 2014

Keywords

  • Collaborative indicators
  • Collaborative platform
  • Forum interactions
  • Grouping students
  • Reputation indicator
  • Social Network Analysis

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