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

Laura Achón, Ana De Souza, Alethia Hume, Ronald Chenu-Abente, Amalia De Götzen, Luca Cernuzzi

Research output: Contribution to journalConference article in JournalResearchpeer-review

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Abstract

‘SOS TUTORÍA 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.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume3456
Pages (from-to)243-247
Number of pages5
ISSN1613-0073
Publication statusPublished - 2023
EventWorkshops at the 2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI-WS 2023 - Munich, Germany
Duration: 26 Jun 202327 Jun 2023

Conference

ConferenceWorkshops at the 2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI-WS 2023
Country/TerritoryGermany
CityMunich
Period26/06/202327/06/2023

Bibliographical note

Publisher Copyright:
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Keywords

  • Academic Competence
  • Big Five
  • Diversity
  • Recommendation System
  • Tutorship

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