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Direct linkPieschl, Stephanie; Stahl, Elmar; Murray, Tom; Bromme, Rainer – Learning and Instruction, 2012
Theories of self-regulated learning assume that learners flexibly adapt their learning process to external task demands and that this is positively related to performance. In this study, university students (n = 119) solved three tasks that greatly differed in complexity. Their learning processes were captured in detail by task-specific…
Descriptors: Difficulty Level, Hypermedia, Learning Processes, College Students
Dunlosky, John; Rawson, Katherine A. – Learning and Instruction, 2012
The function of accurately monitoring one's own learning is to support effective control of study that enhances learning. Although this link between monitoring accuracy and learning is intuitively plausible and is assumed by general theories of self-regulated learning, it has not received a great deal of empirical scrutiny and no study to date has…
Descriptors: Definitions, Memory, Underachievement, Metacognition
Rasch, Thorsten; Schnotz, Wolfgang – Learning and Instruction, 2009
New technologies enable flexible combinations of text and interactive or non-interactive pictures. The aim of the present study was to investigate (a) whether adding pictures to texts is generally beneficial for learning or whether it can also have detrimental effects, (b) how interactivity of pictures affects learning, (c) whether the…
Descriptors: Visualization, Instructional Effectiveness, Outcomes of Education, Visual Aids
Betoret, Fernando Domenech – Learning and Instruction, 2006
We tested a theoretical model that hypothesized relationships between several variables from input, process and product in an educational setting, from the university student's perspective, using structural equation modeling. In order to carry out the analysis, we measured in sequential order the input (referring to students' personal…
Descriptors: College Environment, College Students, Structural Equation Models, Learning Processes
Peer reviewedVolet, Simone E. – Learning and Instruction, 1991
Results from an experiment with 28 experimental and 28 matched control college students taking a 13-week computer science course support the potential of modeling and coaching students in metacognitive strategies to enhance learning. The instructional method had significant long-term and short-term effects on cognitive and affective learning…
Descriptors: Affective Objectives, College Students, Comparative Analysis, Computer Science
