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Authors: Elvandi Silva Junior 1 ; Gabriel Casanova 1 ; Daniel Lopes 1 ; Ana Paula Militz Dorneles 1 ; Renan Poy 1 ; José M. de Oliveira 2 and Vinícius Maran 1

Affiliations: 1 Laboratory of Ubiquitous, Mobile and Applied Computing (LUMAC), Polytechnic School, Federal University of Santa Maria, Av. Roraima, 1000, Santa Maria, Brazil ; 2 Informatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

Keyword(s): Academic Pairings, Hybrid Filtering, Recommendation System, Smart Campus.

Abstract: Collaborating across disciplines can advance research fields by offering new ways of addressing complex problems and fostering integration and acknowledging similarities among different fields. Pairing preferences, such as teaching the same or different content areas, grade spans, or buildings, are also crucial in mentorship programs, as they can significantly impact the effectiveness of the partnership. This necessary academic pairing can be difficult to a set of factors, as cultural, geographical or personal. This study addresses the challenge of academic pairings, emphasizing the need to publicize university resources and projects to promote interconnection between professionals from different areas within the same academic environment. The research describes the ”Unified Recommendation System” - a recommendation system for academic communities. This is a hybrid recommendation system and was developed to recommend relevant projects of interest to the user, in addition to being eas y to access through an application for students, teachers and the general community. Thus, the developed prototype demonstrated significant potential as a relevant tool in the context of smart campuses, with user interest recommendation rates of more than 81% in the evaluated scenario. (More)

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Paper citation in several formats:
Silva Junior, E. ; Casanova, G. ; Lopes, D. ; Paula Militz Dorneles, A. ; Poy, R. ; M. de Oliveira, J. and Maran, V. (2024). Optimizing Academic Pairings in Smart Campuses: A Recommendation System for Academic Communities. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-697-2; ISSN 2184-5026, SciTePress, pages 124-134. DOI: 10.5220/0012630200003693

@conference{csedu24,
author={Elvandi {Silva Junior} and Gabriel Casanova and Daniel Lopes and Ana {Paula Militz Dorneles} and Renan Poy and José {M. de Oliveira} and Vinícius Maran},
title={Optimizing Academic Pairings in Smart Campuses: A Recommendation System for Academic Communities},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2024},
pages={124-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012630200003693},
isbn={978-989-758-697-2},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - Optimizing Academic Pairings in Smart Campuses: A Recommendation System for Academic Communities
SN - 978-989-758-697-2
IS - 2184-5026
AU - Silva Junior, E.
AU - Casanova, G.
AU - Lopes, D.
AU - Paula Militz Dorneles, A.
AU - Poy, R.
AU - M. de Oliveira, J.
AU - Maran, V.
PY - 2024
SP - 124
EP - 134
DO - 10.5220/0012630200003693
PB - SciTePress