NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Caitlin R. Bowman; Dagmar Zeithamova – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
A major question for the study of learning and memory is how to tailor learning experiences to promote knowledge that generalizes to new situations. In two experiments, we used category learning as a representative domain to test two factors thought to influence the acquisition of conceptual knowledge: the number of training examples (set size)…
Descriptors: Classification, Learning Processes, Generalization, Recognition (Psychology)
Peer reviewed Peer reviewed
Direct linkDirect link
Linda Espey; Marta Ghio; Christian Bellebaum; Laura Bechtold – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
We used a novel linguistic training paradigm to investigate the experience-dependent acquisition, representation, and processing of novel emotional and neutral abstract concepts. Participants engaged in mental imagery (n = 32) or lexico-semantic rephrasing (n = 34) of linguistic material during five training sessions and successfully learned the…
Descriptors: Linguistic Input, Concept Teaching, Concept Formation, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Rhodes, Matthew G. – Teaching of Psychology, 2019
Metacognition refers to a set of processes an individual uses in monitoring ongoing cognition so as to effectively control his or her own behavior. In this article, I discuss key frameworks for characterizing metacognition and describe approaches to measuring metacognition. Modern research in metacognition assumes that monitoring of cognition…
Descriptors: Metacognition, Learning Processes, Accuracy, Concept Formation
Peer reviewed Peer reviewed
Direct linkDirect link
Fabian Kieser; Peter Wulff; Jochen Kuhn; Stefan Küchemann – Physical Review Physics Education Research, 2023
Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Prinz, Anja; Golke, Stefanie; Wittwer, Jörg – Journal of Educational Psychology, 2019
Misconceptions impair not only learners' comprehension of a text but also the accuracy with which they judge their comprehension, that is, "metacomprehension accuracy." Refutation texts are beneficial to elicit conceptual-change processes and thus to overcome the detrimental impact of misconceptions on comprehension. However, it is…
Descriptors: Misconceptions, Accuracy, Metacognition, Reading Comprehension
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rau, Martina A.; Mason, Blake; Nowak, Robert – International Educational Data Mining Society, 2016
To succeed in STEM, students need to learn to use visual representations. Most prior research has focused on conceptual knowledge about visual representations that is acquired via verbally mediated forms of learning. However, students also need perceptual fluency: the ability to rapidly and effortlessly translate among representations. Perceptual…
Descriptors: Models, Learning Processes, STEM Education, Concept Formation