TrustMatchMaker: Materializing Interpersonal Trust in VLE

  • Marcelo Pereira Barbosa IFPI / UFBA
  • Fabrício dos Santos Silva UFBA
  • João Silva Soares UFBA
  • Rita Suzana Pitangueira Maciel UFBA

Resumo


Trust is a multifaceted and dynamic phenomenon, which makes it challenging to support in software systems. This article presents a prototype to support trust among students in Virtual Learning Environments (VLEs). Based on previous studies, five features emerged: trust profile, peer review, collaborative teams, network of friends, and recommendation mechanism. These features reflect key properties of trust, such as subjectivity, asymmetry, propagation, and evolution over time. The prototype allows students to evaluate their peers, recognize positive behaviors, and identify trustworthy students. In the validation process, participants highlighted the solution’s potential to improve collaborative practices by helping students identify trustworthy peers.

Referências

Almaiah, M. A., Al-Khasawneh, A., and Althunibat, A. (2020). Exploring the critical challenges and factors influencing the e-learning system usage during covid-19 pandemic. Education and information technologies, 25:5261–5280.

Anwar, M. (2021). Supporting privacy, trust, and personalization in online learning. International Journal of Artificial Intelligence in Education, 31(4):769–783.

Barbosa, M. P. and Maciel, R. S. P. (2024). Why should i trust you? a survey on interpersonal trust in virtual learning environments. In Anais do XXXV Simpósio Brasileiro de Informática na Educação, pages 1263–1278, Porto Alegre, RS, Brasil. SBC.

Barbosa, M. P. and Maciel, R. S. P. (2025). Interpersonal trust among students in virtual learning environments: A comprehensive review. Journal on Interactive Systems, 16(1).

Baturay, M. H. and Toker, S. (2019). The comparison of trust in virtual and face-to-face collaborative learning teams. Turkish Online Journal of Distance Education, 20(3):153–164.

Borum, R. (2010). The science of interpersonal trust. Randy Borum, pages 1–79.

Currall, S. C. and Epstein, M. J. (2003). The fragility of organizational trust:: Lessons from the rise and fall of enron. Organizational Dynamics, 32(2):193–206.

Deng, X., Li, H., and Huangfu, F. (2018). A trust-aware neural collaborative filtering for elearning recommendation. Educational Sciences: Theory & Practice, 18(5):2217–2234.

Dwivedi, P. and Bharadwaj, K. K. (2013). Effective trust-aware e-learning recommender system based on learning styles and knowledge levels. Journal of Educational Technology & Society, 16(4):201–216.

Elghomary, K. and Bouzidi, D. (2019). Dynamic peer recommendation system based on trust model for sustainable social tutoring in moocs. In 2019 1st International Conference on Smart Systems and Data Science (ICSSD), pages 1–9. IEEE.

Elghomary, K., Bouzidi, D., and Daoudi, N. (2019). A comparative analysis of osn and siot trust models for a trust model adapted to moocs platforms. In Proceedings of the 2nd International Conference on Networking, Information Systems & Security, pages 1–8.

Elghomary, K., Bouzidi, D., and Daoudi, N. (2022). Design of a smart mooc trust model: Towards a dynamic peer recommendation to foster collaboration and learner’s engagement. International Journal of Emerging Technologies in Learning (iJET), 17(05):pp. 36–56.

Fachrunnisa, O., Hussain, F., and Chang, E. (2010). State of the art review for trust maintenance in organizations. In 2010 International Conference on Complex, Intelligent and Software Intensive Systems, pages 574–580. IEEE.

Feng, C. and Xu, Y. (2020). Case study of collaborative learning in a massive open online course. In 2020 Ninth International Conference of Educational Innovation through Technology (EITT), pages 47–51. IEEE.

Jones, S. and Shah, P. (2021). The tangled ties of trust: A social network perspective on interpersonal trust. In Understanding trust in organizations, pages 205–232. Routledge.

Kunthi, R., Wahyuni, R., Al-Hafidz, M. U., and Sensuse, D. I. (2018). Exploring antecedent factors toward knowledge sharing intention in e-learning. In 2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), pages 108–113. IEEE.

Lima, M. d. S., David, J. M. N., and Maciel, R. S. P. (2024). Mudança do ensino remoto: Design instrucional experiências vividas. 32:533–567.

Lima, M. d. S. and Maciel, R. S. P. (2021). Practices and digital technological resources for remote education: an investigation of brazilian professor’s profile. In Anais do XXXII Simpósio Brasileiro de Informática na Educação, pages 225–236. SBC.

Mayer, R. C., Davis, J. H., and Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3):709–734.

McEvily, B., Zaheer, A., and Soda, G. (2021). Network trust. In Understanding trust in organizations. Taylor & Francis.

Miguel, J., Caballé, S., Xhafa, F., Prieto, J., and Barolli, L. (2014). A collective intelligence approach for building student’s trustworthiness profile in online learning. In 2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pages 46–53. IEEE.

O’Brien, B. (2002). Online Student Retention: Can It Be Done? Association for the Advancement of Computing in Education (AACE).

Rotter, J. B. (1967). A new scale for the measurement of interpersonal trust. Journal of personality, pages 651–665.

Schaubroeck, J. M., Peng, A. C., and Hannah, S. T. (2013). Developing trust with peers and leaders: Impacts on organizational identification and performance during entry. Academy of Management Journal, 56(4):1148–1168.

Venega, V. and Maciel, R. (2021). Requirements for development of cmooc platforms from the professional’s perspective. In Proceedings of the 32nd Brazilian Symposium on Computers in Education, pages 80–90, Porto Alegre, RS, Brasil. SBC.

Wang, W. and Benbasat, I. (2008). Attributions of trust in decision support technologies: A study of recommendation agents for e-commerce. Journal of Management Information Systems, 24(4):249–273.

Wang, Y. D. (2014). Building student trust in online learning environments. Distance Education, 35(3):345–359.

Zhang, X., Li, M., Seng, D., Chen, X., and Chen, X. (2022). A novel precise personalized learning recommendation model regularized with trust and influence. Scientific Programming, 2022:1–15.
Publicado
24/11/2025
BARBOSA, Marcelo Pereira; SILVA, Fabrício dos Santos; SOARES, João Silva; MACIEL, Rita Suzana Pitangueira. TrustMatchMaker: Materializing Interpersonal Trust in VLE. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 36. , 2025, Curitiba/PR. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 1173-1189. DOI: https://doi.org/10.5753/sbie.2025.12809.