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Session Type: Symposium
It has long been known that certain motivational variables, such as perceived self-efficacy, are more predictive of students’ behavior when measured in a task- or domain-specific manner than when measured as general, person-level constructs. Nevertheless, a number of important motivational variables, such as academic mindsets, grit, and motivational orientations, tend to be measured by researchers in a domain-general manner. Because these variables have recently attracted much attention from both educators and the media, it is worth exploring the theoretical and practical trade-offs involved with assessing them at domain-specific versus domain-general levels. We use the term “domain” to refer to specific academic disciplines (e.g., math, science, history), as well as specific areas of psychological functioning (e.g., intelligence, emotion, social competence).
Domain-General and Math-Specific Grit as Predictor of Math Persistence - David B. Miele, Boston College; Chen Shen, Boston College; Marina Vasilyeva, Boston College; Yulia A. Tyumeneva, National Research University
Students' General and Specific Perceptions of Faculty Intelligence Mind-Sets in STEM and Non-STEM Classrooms - Katherine Marie Muenks, Indiana University - Bloomington; Mary C. Murphy, Indiana University
Examining Domain-General and Domain-Specific Mind-Sets in Relation to School Outcomes - Ronnel Bornasal King, The Hong Kong Institute of Education
The Role-Specificity of Motivations for Promotion and Prevention and the Implications for Student Outcomes - Alexander S. Browman, Boston College; Mesmin Destin, Northwestern University; Daniel C. Molden, Northwestern University
Autonomous and Controlled Motivation in Student Goal Pursuit: Contrasting Academic and Nonacademic Domains - Marina Milyavskaya, Carleton University; Kaitlyn M. Werner, Carleton University