An Approach to Group Recommendation Integrated with Collaborative Learning Techniques

• Ilmara Monteverde Martins Ramos Federal University of Amazonas / Federal Institute of Education, Science and Technology of Amazonas http://orcid.org/0000-0003-3916-8081
• Bruno Freitas Gadelha Federal University of Amazonas https://orcid.org/0000-0001-7007-5209
• Elaine Harada Teixeira de Oliveira Federal University of Amazonas https://orcid.org/0000-0003-2884-9359

DOI: https://doi.org/10.5753/cbie_estendido.2022.227191

Abstract

This paper presents a doctoral research proposal for group formation integrated to collaborative learning techniques. The main objective is to create and validate an automated approach to assist teachers in recommending groups of students associated with collaborative learning techniques for activities in Learning Management Systems. In particular, the approach will be based on student interaction actions with a LMS called CodeBench, through Learning Paths, and collaborative learning techniques. The doctorate began in March 2021, therefore, it will complete 21 months of development until CBIE, with completion scheduled for March 2025.

Keywords: Group Formation, Collaborative Learning Techniques, Learning Paths

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