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Bian, Lin; Cimpian, Andrei – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Language can be used to express broad, unquantified generalizations about both categories (e.g., "Dogs bark") and individuals (e.g., "Daisy barks"). Although these two classes of statements are commonly assumed to arise from the same linguistic phenomenon--"genericity"--the literature to date has not offered a direct…
Descriptors: Classification, Language Usage, Generalization, Undergraduate Students
Vigo, Ronaldo; Doan, Charles A.; Zhao, Li – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The quest for determining the degree of learning difficulty associated with different types of categories has been instrumental in our understanding of human categorization behavior and, more broadly, human generalization. For instance, we now know that the topological nature of the dimensions (e.g., whether these are integral or separable) that…
Descriptors: Discrimination Learning, Classification, Learning Processes, Difficulty Level
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)
Reed, Zackery; Lockwood, Elise – Cognition and Instruction, 2021
In this paper, we present data from two iterative teaching experiments involving students' constructions of four basic counting problems. The teaching experiments were designed to leverage the generalizing activities of relating and extending to provide students with opportunities to reflect on initial combinatorial activity when constructing…
Descriptors: Computation, Generalization, Educational Experiments, Cognitive Processes
MD, Soumya; Krishnamoorthy, Shivsubramani – Education and Information Technologies, 2022
In recent times, Educational Data Mining and Learning Analytics have been abundantly used to model decision-making to improve teaching/learning ecosystems. However, the adaptation of student models in different domains/courses needs a balance between the generalization and context specificity to reduce the redundancy in creating domain-specific…
Descriptors: Predictor Variables, Academic Achievement, Higher Education, Learning Analytics
Mary Rodriguez; Kim E. Dooley; T. Grady Roberts – Journal of Experiential Education, 2024
Background: College students need the ability to generalize and apply solutions through reflective practice. University faculty need professional development to use authentic cases to prepare students for the future. Purpose: This study was to explore the experiences of faculty through a year-long professional development program that included a…
Descriptors: Phenomenology, Experiential Learning, Reflection, Generalization
Miyatsu, Toshiya; Gouravajhala, Reshma; Nosofsky, Robert M.; McDaniel, Mark A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Learning naturalistic categories, which tend to have fuzzy boundaries and vary on many dimensions, can often be harder than learning well defined categories. One method for facilitating the category learning of naturalistic stimuli may be to provide explicit feature descriptions that highlight the characteristic features of each category. Although…
Descriptors: Undergraduate Students, Feedback (Response), Experiments, Generalization
George, David N.; Oltean, Bianca P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Learning to categorize perceptually similar stimuli can result in people becoming more sensitive to differences along perceptual dimensions that are relevant to category membership and/or less sensitive to equivalent differences along irrelevant perceptual dimensions. These effects of acquired distinctiveness and acquired equivalence may be caused…
Descriptors: Foreign Countries, College Students, Associative Learning, Learning Processes
Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
Roark, Casey L.; Lehet, Matthew I.; Dick, Frederic; Holt, Lori L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Category learning is fundamental to cognition, but little is known about how it proceeds in real-world environments when learners do not have instructions to search for category-relevant information, do not make overt category decisions, and do not experience direct feedback. Prior research demonstrates that listeners can acquire task-irrelevant…
Descriptors: Classification, Learning Processes, Schemata (Cognition), Decision Making
Stoten, David William – Higher Education for the Future, 2022
Research undertaken has reported profound differences in the studying practices of students across the globe. This research has ascribed difference to cultural dimension theory and the idea that there are clear differences in the way that certain societies approach teaching and learning. Cultural dimension theory has contributed to the bifurcation…
Descriptors: Undergraduate Students, Management Development, Business Administration Education, Classification
Brinda, Torsten; Napierala, Stephan; Tobinski, David; Diethelm, Ira – Education and Information Technologies, 2019
The ability to categorize concepts is an essential capability for human thinking and action. On the one hand, the investigation of such abilities is the purview of psychology; on the other hand, subject-specific educational research is also of interest, as a number of research works in the field of science education show. For computer science…
Descriptors: Information Technology, Computer Science Education, Misconceptions, Student Attitudes
Lo, Jane-Jane; Cox, Dana C. – Mathematics Teacher: Learning and Teaching PK-12, 2020
The authors who are mathematics teacher educators, have found that classifying, composing, and transforming shapes (in particular, rotations and reflections) are areas of difficulty for adults as well as for children. However, these are also some of the most important geometric ideas. They are fundamental topics in the K-8 Geometry and Measurement…
Descriptors: Thinking Skills, Mathematics Instruction, Geometry, Standards
Smith, Martin M.; Saklofske, Donald H.; Yan, Gonggu; Sherry, Simon B. – Journal of Multicultural Counseling and Development, 2016
This study investigated the generalizability of the tripartite model of perfectionism across Canadian and Chinese university students. Using latent profile analysis and indicators of perfectionistic strivings, perfectionistic concerns, and neuroticism in both groups, the authors derived a 3-profile solution: adaptive perfectionists, maladaptive…
Descriptors: Models, Personality Traits, Asians, Foreign Countries
Hartin, Travis L.; Merriman, William E. – First Language, 2016
Three experiments examined whether the experience of individuating an object would affect the way that children of different ages would interpret its label. Participants were asked to remember a novel object and pick it out from sets containing either two similar objects (similar condition) or no similar objects (dissimilar condition). They were…
Descriptors: Age Differences, Classification, Novelty (Stimulus Dimension), Experience
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