SOS TUTORIA UC: A Diversity-Aware Application for Tutor Recommendation Based on Competence and Personality

TL;DR

This paper presents SOS TUTORIA UC, a web application integrated with WeNet, that recommends student tutors by considering competence and personality traits to improve academic assistance matching.

Contribution

It introduces a diversity-aware recommendation system incorporating Big Five personality traits, enhancing tutor matching based on competence and personality differences.

Findings

Successful integration with WeNet platform

Positive recommendation system test results

Room for further improvement in recommendations

Abstract

SOS TUTORIA UC is a student connection application aimed at facilitating academic assistance between students through external tutoring outside of the application. To achieve this, a responsive web application was designed and implemented, integrated with the WeNet platform, which provides various services for user management and user recommendation algorithms. This study presents the development and validation of the experience in the application by evaluating the importance of incorporating the dimension of personality traits, according to the Big Five model, in the process of recommending students for academic tutoring. The goal is to provide support for students to find others with greater knowledge and with a personality that is \'different\', \'similar\' or \'indifferent\' to their own preferences for receiving academic assistance on a specific topic. The integration with the WeNet platform was successful in terms of components, and the results of the recommendation system testing were positive but have room for improvement.