Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Author
Publication Type
Reports - Research | 12 |
Journal Articles | 11 |
Speeches/Meeting Papers | 2 |
Collected Works - Proceedings | 1 |
Information Analyses | 1 |
Reference Materials -… | 1 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 8 |
Postsecondary Education | 6 |
Elementary Education | 1 |
Grade 8 | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Brazil | 1 |
California | 1 |
California (Berkeley) | 1 |
China | 1 |
Finland | 1 |
Japan (Tokyo) | 1 |
Massachusetts | 1 |
Saudi Arabia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Timonen, Laura; Juuti, Kalle; Harmoinen, Sari – Physical Review Physics Education Research, 2022
Research on student retention in higher education (HE) physics could benefit by studying emotions in the context of engagement and learning. However, popular retention theories include only a narrow selection of emotions, creating a need to look elsewhere. In this study, we borrow the lens of an affective engagement model, the framework of an…
Descriptors: College Students, Foreign Countries, Emotional Response, School Holding Power
Seaborne, Amanda; Fiorella, Logan – Applied Cognitive Psychology, 2018
Misophonia refers to one's sensitivity to specific sounds, which can range from minor annoyance to extreme distress. This experiment tested the role of individual differences in misophonia sensitivity on learning. College students read a text passage about migraines in a quiet room with 2 or 3 other participants and 1 confederate. In some…
Descriptors: Acoustics, Sensory Experience, Individual Differences, College Students
Xie, Qiuzhi; Gao, Xiangping; King, Ronnel B. – Learning and Individual Differences, 2013
This study investigated whether individual differences in thinking styles influence explicit and implicit learning. Eighty-seven university students in China participated in this study. Results indicated that performance in the explicit learning condition was positively associated with Type I thinking styles (i.e. legislative and liberal styles)…
Descriptors: Cognitive Style, Individual Differences, Learning, College Students
Kyndt, Eva; Cascallar, Eduardo; Dochy, Filip – Higher Education: The International Journal of Higher Education and Educational Planning, 2012
Past research has shown that working memory capacity, attention and students' approaches to learning are all important predictors for educational achievement. In this study the interrelations between these three variables are investigated. Participants were 128 university students. Results show a negative relationship between attention and deep…
Descriptors: Short Term Memory, Attention, Learning, Individual Differences
Wen, Wen; Ishikawa, Toru; Sato, Takao – Cognitive Science, 2013
This study examined how different components of working memory are involved in the acquisition of egocentric and allocentric survey knowledge by people with a good and poor sense of direction (SOD). We employed a dual-task method and asked participants to learn routes from videos with verbal, visual, and spatial interference tasks and without any…
Descriptors: Individual Differences, Cognitive Processes, Short Term Memory, Spatial Ability
Gynnild, V.; Myrhaug, D. – European Journal of Engineering Education, 2012
Several studies have applied the dichotomy of deep and surface approaches to learning in a range of disciplinary contexts. Existing questionnaires have largely assumed the existence of these constructs; however, in a recent study Case and Marshall (2004) described two additional context-specific approaches to learning in engineering. The current…
Descriptors: Student Attitudes, Engineering, Learning, Interdisciplinary Approach
JENSEN, ARTHUR R. – 1964
AN INVESTIGATION WAS CONDUCTED (1) TO DEVISE A NUMBER OF LABORATORY MEASURES OF INDIVIDUAL DIFFERENCES IN SUSCEPTIBILITY TO INTERFERENCE EFFECTS IN LEARNING AND (2) TO DETERMINE THEIR DIMENSIONALITY IN A VARIETY OF INTERFERENCE EFFECTS. SUBJECTS WERE 530 STUDENTS IN INTRODUCTORY COURSES IN EDUCATIONAL PSYCHOLOGY AT THE UNIVERSITY OF CALIFORNIA,…
Descriptors: College Students, Factor Analysis, Individual Differences, Intelligence
BETTS, MARY L.B. – 1966
THIS STUDY CONSISTED OF A SERIES OF EXPERIMENTS DESIGNED TO YIELD DATA ON THE PARAMETERS OF LEARNING IN THESE SITUATIONS--(1) THE QUANTITY OF MATERIAL TO BE LEARNED WAS GREATER THAN USUAL, AND (2) THE SCHEDULING OF LEARNING, REVIEW TRIALS, AND THE AMOUNTS OF MATERIAL PRESENTED WERE VARIED WITHIN A DESIGN JUDGED TO APPROACH OPTIMAL SCHEDULING IN…
Descriptors: Ability, College Students, Individual Differences, Learning

Vermetten, Yvonne J.; Vermunt, Jan D.; Lodewijks, Hans G. – Learning and Instruction, 2002
Studied the effects of a university educational reform project on students' learning and individual differences in students' responses to similar instructional measures. In 2 studies, involving 77 students and 84 in the final experimental group samples (original samples and control groups were somewhat larger), the reforms mainly failed to…
Descriptors: College Students, Educational Change, Educational Environment, Higher Education

Krentler, Kathleen A.; Willis-Flurry, Laura A. – Journal of Education for Business, 2005
Despite widespread acceptance of technology in the classroom, there is little empirical research on the effectiveness of students' use of technology in enhancing their learning. To date, studies suggest that students perceive technology to be a useful learning tool; however, research has not linked the use of technology to actual student…
Descriptors: College Students, Learning, Educational Technology, Computer Uses in Education
Trinder, John; Richman, Charles L. – 1969
This report investigates those factors, necessary for, or facilitative of, stimulus organization. Part I considers three experimentally controlled factors: (1) stimuli; (2) responses; and (3) temporal organization of stimuli. The results revealed that temporal specing accounted for different findings. When the intertrial interval (ITI) was present…
Descriptors: Behavior, Behavior Patterns, College Students, Concept Formation

Ackerman, Philip L.; Woltz, Dan J. – Journal of Educational Psychology, 1994
Five experiments with 586 college students investigated how ability differences, learning task characteristics, and motivational and volitional processes combine to explain performance differences in an associative memory or substitution task. Results are discussed in terms of developing a more comprehensive understanding of learner differences.…
Descriptors: Association (Psychology), Cognitive Ability, College Students, Higher Education
Entwistle, Noel – Higher Education Bulletin, 1975
A model derived from information processing theory is described, which helps to explain the complex verbal learning of students and suggests implications for lecturing techniques. Other factors affecting learning, which are not covered by the model, are discussed in relationship to it: student's intellectual development and effects of individual…
Descriptors: College Students, Educational Psychology, Higher Education, Individual Differences

Verguts, Tom; De Boeck, Paul – Applied Psychological Measurement, 2000
Developed an extension of the Rasch model from a Bayesian point of view and used the model to study whether learning occurred throughout a computer-administered intelligence test. Results from 137 college students indicate that learning did occur and that there might be individual differences in learning rate. (SLD)
Descriptors: Bayesian Statistics, College Students, Computer Assisted Testing, Higher Education

Ford, Nigel – Studies in Higher Education, 1980
A distinction is drawn between students' ability to understand information and their personal acceptance and valuing of that information. Results of a small-scale study are used to suggest that students may differ in their levels of acceptance of information. Ideas regarding possible future research are discussed. (Author/JMD)
Descriptors: Affective Behavior, Cognitive Style, College Students, Comprehension
Previous Page | Next Page ยป
Pages: 1 | 2