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Dragos Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…
Descriptors: Reading Comprehension, Models, Concept Mapping, Graphs
Corlatescu, Dragos-Georgian; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…
Descriptors: Reading Comprehension, Reading Processes, Memory, Schemata (Cognition)
Corlatescu, Dragos-Georgian; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…
Descriptors: Reading Comprehension, Memory, Inferences, Syntax
Rastelli, Clara; Greco, Antonino; Finocchiaro, Chiara – Journal of Intelligence, 2020
The current theories suggest the fundamental role of semantic memory in creativity, mediating bottom-up (divergent thinking) and top-down (fluid intelligence) cognitive processes. However, the relationship between creativity, intelligence, and the organization of the semantic memory remains poorly-characterized in children. We investigated the…
Descriptors: Memory, Semantics, Correlation, Intelligence
Gruenenfelder, Thomas M.; Recchia, Gabriel; Rubin, Tim; Jones, Michael N. – Cognitive Science, 2016
We compared the ability of three different contextual models of lexical semantic memory (BEAGLE, Latent Semantic Analysis, and the Topic model) and of a simple associative model (POC) to predict the properties of semantic networks derived from word association norms. None of the semantic models were able to accurately predict all of the network…
Descriptors: Memory, Semantics, Associative Learning, Networks
Mickes, Laura; Flowe, Heather D.; Wixted, John T. – Journal of Experimental Psychology: Applied, 2012
A police lineup presents a real-world signal-detection problem because there are two possible states of the world (the suspect is either innocent or guilty), some degree of information about the true state of the world is available (the eyewitness has some degree of memory for the perpetrator), and a decision is made (identifying the suspect or…
Descriptors: Memory, Accuracy, Sequential Approach, Comparative Analysis
Mou, Weimin; Zhou, Ruojing – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Four experiments examined the roles of extended surfaces and the number of points in the boundary superiority effect in goal localization. Participants learned the locations of 4 objects in the presence of a boundary, landmarks, or both in an immersive virtual environment by reproducing the locations with feedback. Participants then localized the…
Descriptors: Experimental Psychology, Feedback (Response), Geographic Location, Memory
Plag, Ingo; Baayen, Harald – Language, 2009
There is a long-standing debate about the principles constraining the combinatorial properties of suffixes. Hay 2002 and Hay & Plag 2004 proposed a model in which suffixes can be ordered along a hierarchy of processing complexity. We show that this model generalizes to a larger set of suffixes, and we provide independent evidence supporting the…
Descriptors: Suffixes, Language Processing, Morphology (Languages), Generalization
Peer reviewedMcGaugh, James L.; Dawson, Ronald G. – Behavioral Science, 1971
Descriptors: Drug Therapy, Graphs, Hypothesis Testing, Learning Processes
Schmidt, Richard A. – Research Quarterly of the AAHPER, 1971
Descriptors: Analytical Criticism, Graphs, Learning Theories, Memory
Peer reviewedKirk, Sandra; And Others – Journal of Educational Research, 1978
The effect of general and specific cues on learning information from graphs is analyzed. The study shows that the use of cues influenced the amount of information learned, with variations according to type and placement of cues. (JMF)
Descriptors: Cues, Generalization, Graphs, Higher Education
Crowder, Robert G. – Perception and Psychophysics, 1973
Research supported by a grant from the National Science Foundation. (DD)
Descriptors: Acoustic Phonetics, Auditory Perception, Auditory Stimuli, Consonants
Estes, W. K. – Journal of Verbal Learning and Verbal Behavior, 1973
Research supported by a Public Health Service grant from the National Institute of General Medical Sciences. (DD)
Descriptors: Graphs, Interference (Language), Letters (Alphabet), Memorization
Shah, Priti; Freedman, Eric G. – Journal of Educational Computing Research, 2003
Static, animated, and interactive visualizations are frequently used in electronic learning environments. In this article, we provide a brief review of research on visuospatial cognition relevant to designing e-learning tools that use these displays. In the first section, we discuss the possible cognitive benefits of visualizations consider used…
Descriptors: Design Requirements, Visual Aids, Educational Environment, Electronic Equipment
Peer reviewedHuttenlocher, Janellen; And Others – Psychological Review, 1991
A model of category effects found in reports of episodic memory is proposed. The model holds that stimuli are presented at a fine-grain level of detail and a category. Four experiments involving a total of 131 University of Chicago (Illinois) students and faculty are reported in support of the model. (SLD)
Descriptors: Classification, College Faculty, College Students, Equations (Mathematics)
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