Submission 120
Judgments of Learning Predict Learning Success and Behavior in Higher Education
SymposiumTalk-05
Presented by: Monika Undorf
Numerous experimental studies have shown that judgments of learning (JOLs), people’s predictions of their future performance during learning, are moderately predictive of test performance and learning behavior. However, almost all previous studies have used relatively simple learning materials and low-stakes tests. Consequently, little is known about the predictive power of JOLs in ecologically valid learning environments. To address this gap, we collected JOLs in an intelligent tutoring system that university students used to prepare for their final exams in Statistics (Study 1, N = 90) and Educational Psychology (Study 2, N = 145) and retrieved objective indicators of learning success and behavior from the tutoring system. JOLs significantly predicted both exam performance and learning success within the system, even after controlling for GPA. Moreover, JOLs predicted how students allocated their study time. Together, these findings demonstrate that JOLs possess predictive validity in real-world learning contexts.