Collaborative Problem-Solving and Online Self-Efficacy in Technical and Vocational Higher Education: A Regression Tree Analysis

• In Event: Virtual Poster Session
  In Virtual iPresentation Only: SIG-Career & Technical Education and Workplace Learning Virtual Poster Session

Abstract

This study examines how students in technical and vocational higher education (TVHE) experience online collaborative problem-solving (CPS), with particular attention to the role of online learning self-efficacy (OLSE) and students’ background characteristics. Using survey data from 939 students in Chile and regression tree analysis, we explore predictors of satisfaction with online collaboration and evaluation of group processes. OLSE emerged as the strongest predictor in both models, followed by age and gender. Results highlight the importance of self-beliefs and structural conditions in shaping online collaborative experiences. Findings offer methodological insights into the use of interpretable machine learning in educational research and underscore the need for targeted supports that build OLSE in TVHE.

Authors

• Gonzalo Salas, Universidad de Chile

• Daniela Edith Luengo-Aravena, Spencer Foundation