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Collaborative logical framework: An e-learning assesment tool in.LRN platform

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In the teaching and learning process, one of the most widely used assessments under the constructivist model is to work in groups. This has many advantages, but also weaknesses such as lack of collaboration, poor organization, difficulty in assessing, poor communication, among others. This paper describes the functionality of the Collaborative Logical Framework and the redesign made by the TEC Digital Tecnológico de Costa Rica (TEC) which aims to aid students and teachers to reduce the problems that can be generated working in groups, through a tool integrated in a LMS applying usability criteria on web and mobile platforms and some integrations with others applications on.LRN LMS. This was validated applying a survey to grade and postgrade students at the TEC. The results were favorable, such as the usability of the interface, in a (very low) scale of 1 to 5 (very high) average usability by the twenty seven students surveyed is 4 points.

Original languageEnglish
Title of host publicationProceedings - 2016 11th Latin American Conference on Learning Objects and Technology, LACLO 2016
EditorsIsaac Alpizar Chacon, Mario Chacon Rivas, Cristian Cechinel, Agustin Francesa Alfaro
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509061495
DOIs
StatePublished - 21 Nov 2016
Event11th Latin American Conference on Learning Objects and Technology, LACLO 2016 - San Carlos, Costa Rica
Duration: 3 Oct 20167 Oct 2016

Publication series

NameProceedings - 2016 11th Latin American Conference on Learning Objects and Technology, LACLO 2016

Conference

Conference11th Latin American Conference on Learning Objects and Technology, LACLO 2016
Country/TerritoryCosta Rica
CitySan Carlos
Period3/10/167/10/16

Keywords

  • Collaborative Logical framework
  • E-learning
  • Software
  • Sponsive
  • Usability
  • dotLRN

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