The predictive role of personality traits and burnout on preservice teachers' future time perspectives: A hybrid SEM-ANN approach

Karatas K., Arpaci İ.

PERSONALITY AND INDIVIDUAL DIFFERENCES, vol.248, 2026 (SSCI, Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 248
  • Publication Date: 2026
  • Doi Number: 10.1016/j.paid.2025.113501
  • Journal Name: PERSONALITY AND INDIVIDUAL DIFFERENCES
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, Child Development & Adolescent Studies, Index Islamicus, Psycinfo, Violence & Abuse Abstracts
  • Bursa Uludag University Affiliated: No

Abstract

Pre-service teachers' future time perceptions may affect their professional success and psychological well-being. Therefore, understanding how personality traits and burnout levels shape these perceptions is critical for sustainable teacher development in education. The study examines the impact of personality traits and burnout levels on the pre-service teachers' future time perceptions. Data collected from 1313 pre-service teachers were analyzed by employing a hybrid "Structural Equation Modeling" (SEM) and "Artificial Neural Networks" (ANN) approach. The findings revealed that pre-service teachers' future time perceptions are significantly related to certain personality traits and burnout levels. SEM results indicated that extraversion and openness to experience personality traits positively predict future time perceptions, whereas emotional exhaustion and mental exhaustion negatively predict future time perceptions. The sensitivity analysis conducted to rank the importance of each construct in the ANN model revealed that openness to experience emerged as the most influential factor, followed by emotional exhaustion, extraversion, and mental exhaustion.