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Tina Seufert; Verena Hamm; Andrea Vogt; Valentin Riemer – Educational Psychology Review, 2024
Self-regulated learning depends on task difficulty and on learners' resources and cognitive load, as described by an inverted U-shaped relationship in Seufert's (2018) model: for easy tasks, resources are high and load is low, so there is no need to regulate, whereas for difficult tasks, load is too high and resources are too low to regulate. Only…
Descriptors: Cognitive Processes, Difficulty Level, Resources, Self Management
Song, H. S.; Kalet, A. L.; Plass, J. L. – Journal of Computer Assisted Learning, 2016
This study examined the direct and indirect effects of medical clerkship students' prior knowledge, self-regulation and motivation on learning performance in complex multimedia learning environments. The data from 386 medical clerkship students from six medical schools were analysed using structural equation modeling. The structural model revealed…
Descriptors: Prior Learning, Self Management, Self Control, Student Motivation
Samruayruen, Buncha; Enriquez, Judith; Natakuatoong, Onjaree; Samruayruen, Kingkaew – Journal of Educational Computing Research, 2013
This study identified five effective self-regulated learning (SRL), investigated the correlation of demographic information and SRL, and measured significant predictor of prior experiences on SRL. Eighty-eight Thai learners participated in the SRL survey, which was adapted from the MSLQ. The findings indicated that Intrinsic Goal and Self-Efficacy…
Descriptors: Foreign Countries, Web Based Instruction, Electronic Learning, Internet
Clarebout, Geraldine; Horz, Holger; Elen, Jan; Schnotz, Wolfgang – World Journal of Education, 2011
Learning environments commonly offer aids to address learners' lack of knowledge or skills. However, learners are not or sub-optimally using these aids when these are non-embedded or segregated (Aleven, Stahl, Schworm, Fischer, & Wallace, 2003; Clarebout & Elen, 2006). This lack of optimal usage has been related to variables as…
Descriptors: Interaction, Student Characteristics, College Students, Randomized Controlled Trials
Wang, Chih-Hsuan; Shannon, David M.; Ross, Margaret E. – Distance Education, 2013
The purpose of this study was to examine the relationship among students' characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning settings. Two hundred and fifty-six students participated in this study. All participants completed an online survey that included demographic information, the modified…
Descriptors: Student Characteristics, Self Management, Self Efficacy, Outcomes of Education
Greene, Jeffrey Alan; Costa, Lara-Jeane; Robertson, Jane; Pan, Yi; Deekens, Victor M. – Computers & Education, 2010
Researchers and educators continue to explore how to assist students in the acquisition of conceptual understanding of complex science topics. While hypermedia learning environments (HLEs) afford unique opportunities to display multiple representations of these often abstract topics, students who do not engage in self-regulated learning (SRL) with…
Descriptors: Intelligence, Structural Equation Models, Science Achievement, Prior Learning
Song, Hyuksoon S. – ProQuest LLC, 2010
Many medical schools have developed computer-based, multimedia learning environments to fill the knowledge gap and provide common cases and resources to students. However, considering that multimedia in education may impede effective learning if the characteristics of learners and tasks are not considered thoroughly in instructional design, it is…
Descriptors: Goal Orientation, Instructional Design, Medical Schools, Structural Equation Models