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holistic system in psychology, where motivation, metacognition, learning skills and regulation of internal (e.g. concentration) and external resources (e.g. time) are evenly important in the prediction of academic success in university. Objective: To study the predictors of self-regulated learning (learning skills, motivation and resource regulation) in academic performance among STEMM (Science, Technology, Engineering, Mathematics and Medicine), respectively non-STEMM undergraduates (N= 106). Method: The study wa...

Introduction: Literature suggests that both Assessment and Locomotion regulatory modes are important in one’s general goal-directed behavior and in academic performance in higher education. Objective: The analysis of regulatory mode preference predictive power in Science, Technology, Engineering, Mathematics and Medicine (STEMM), respectively non-STEMM field related academic performance in undergraduates. Method: Our study had a correlational design. We applied the Regulatory Mode Questionnaire (Kruglanski et. al....