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Tracey, Danielle; Morin, Alexandre J. S.; Pekrun, Reinhard; Arens, A. Katrin; Murayama, Kou; Lichtenfeld, Stephanie; Frenzel, Anne C.; Goetz, Thomas; Maïano, Christophe – American Journal on Intellectual and Developmental Disabilities, 2020
Expectancy-value theory (EVT) is a popular framework to understand and improve students' motivation. Unfortunately, limited research has verified whether EVT predictions generalize to students with low levels of cognitive ability. This study relies on Grade 5 and 8 data from 177 students with low levels of cognitive ability and a matched sample of…
Descriptors: Student Motivation, Cognitive Ability, Grades (Scholastic), Self Control
Marsh, Herbert W.; Pekrun, Reinhard; Parker, Philip D.; Murayama, Kou; Guo, Jiesi; Dicke, Theresa; Lichtenfeld, Stephanie – Journal of Educational Psychology, 2017
Consistently with a priori predictions, school retention (repeating a year in school) had largely positive effects for a diverse range of 10 outcomes (e.g., math self-concept, self-efficacy, anxiety, relations with teachers, parents and peers, school grades, and standardized achievement test scores). The design, based on a large, representative…
Descriptors: Grade Repetition, Self Concept, Self Efficacy, Anxiety
Frenzel, Anne C.; Pekrun, Reinhard; Dicke, Anna-Lena; Goetz, Thomas – Developmental Psychology, 2012
Research has shown that the average values for academic interest decrease during adolescence. Looking beyond such quantitative decline, we explored qualitative change of interest in the domain of mathematics across adolescence. Study 1 was based on a longitudinal data set (annual assessments from Grade 5 to Grade 9; N = 3,193). Latent variable…
Descriptors: Interests, Mathematics, Adolescents, Longitudinal Studies
Murayama, Kou; Pekrun, Reinhard; Lichtenfeld, Stephanie; vom Hofe, Rudolf – Child Development, 2013
This research examined how motivation (perceived control, intrinsic motivation, and extrinsic motivation), cognitive learning strategies (deep and surface strategies), and intelligence jointly predict long-term growth in students' mathematics achievement over 5 years. Using longitudinal data from six annual waves (Grades 5 through 10;…
Descriptors: Mathematics Achievement, Achievement Gains, Cognitive Processes, Learning Strategies