An Automated Approach to Assist Teachers in Recommending Groups of Students Associated with Collaborative Learning Techniques Using Learning Paths in Virtual Learning Environments

Abstract

This paper presents a doctoral research proposal for an Automated approach to assist teachers in recommending groups of students associated with Collaborative Learning Techniques using Learning Paths in Virtual Learning Environments. The main objective is to create and validate an automated approach to assist professors in recommending groups of students associated with collaborative learning techniques in introductory courses on programming in Virtual Learning Environments. In particular, the approach will be based on student interaction actions with a VLE called CodeBench, in blended classes, through Learning Paths in graph format, suggestions of students clusters resulting from the groups formation, techniques of collaborative learning, with the carrying out of case studies, in basic and higher education classes in teaching programming carried out in Brazil at the Federal University of Amazonas and the Federal Institute of Amazonas. The doctorate began in March 2021, therefore, it will have 28 months of development until the date of the AIED 2023, with completion expected in March 2025.