Development of a system for recording and monitoring Transformative Learning Initiatives at Mackenzie Presbyterian University in Brazil

Authors

  • Mariana Zuliani Theodoro de Lima Mackenzie Presbyterian University, Sao Paulo, Brazil
  • Suelene Silva Piva Mackenzie Presbyterian University, Sao Paulo, Brazil
  • Milena Colazingari da Silva Mackenzie Presbyterian University, Sao Paulo, Brazil
  • Lucas Paulo da Rocha Mackenzie Presbyterian University, Sao Paulo, Brazil
  • Janette Brunstein Mackenzie Presbyterian University, Sao Paulo, Brazil

DOI:

https://doi.org/10.33422/ieconf.v1i1.121

Keywords:

Transformative Learning, Systems Development, Soft Skills, Self-Learning, Student Engagement

Abstract

The summary presented here discusses the processes of implementing training aimed at developing socio-emotional skills in university students. Guided by the theory of Transformative Learning (TL), students are invited to review their assumptions on topics that involve their personal views as ethical, entrepreneurial, reflective subjects, open to cultural diversity and accustomed to sustainable thinking. Such skills are recorded by the student in their e-portfolio, which mainly presents their socio-emotional skills, as well as their professional technical knowledge, with a view to communicating to society the training profile achieved by the students. For this reason, a system was created to record the development of socio-emotional skills and build students' electronic portfolios during graduation. The system is under the responsibility of the Center for Excellence in Transformative Teaching and Learning at Mackenzie Presbyterian University, São Paulo, Brazil. The proposal is that the system is further improved, and that the repository lasts throughout the student's professional life, also serving as an inventory of their professional life. Finally, it is expected that Artificial Intelligence can be applied, based on records made in the system, to assist in evaluating the development of socio-emotional skills. This will support the choice of the candidate who best adapts to the job vacancies available in companies.

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Published

2023-11-29