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Amend, Amanda E.; Whitney, Carolyn A.; Messuri, Antonia T.; Furukawa, Hideko – Foreign Language Annals, 2009
A two-semester modified Spanish sequence was designed to address the needs of college students with language-based learning disabilities. This course featured reduced scope, an emphasis on tactile activities, metacognitive strategies, and adaptations to the presentation and practice of material. Performances on fall and spring semester-end essays…
Descriptors: Learning Disabilities, Metacognition, Spanish, Sequential Learning

Jones, Mari R.; Erickson, James R. – American Journal of Psychology, 1972
The present study attempted to demonstrate that subjects do attend to and abstract complex contingencies between events in probabilistic, nondeterministic schedules. (Authors)
Descriptors: College Students, Prediction, Psychological Studies, Sequential Learning
Birchman, J. A.; Sadowski, M. A. – Engineering Design Graphics Journal, 2007
Regardless of the instrument used to determine learning styles, it is commonly accepted that people learn in different ways. As Professors, we tend to teach in a style that matches the way we ourselves learn. Tis may or may not match the learning styles of the students in our classroom. As Graphics educators, we cannot meet every student's…
Descriptors: Educational Strategies, Cognitive Style, Teaching Styles, Teacher Characteristics
Krichev, Alan; Hazlewood, Brenton – J Psychol, 1969
Descriptors: College Students, Learning Theories, Memory, Research
Davis, Daniel J. – 1964
Several ways of structuring the early trials of a complex concept formation task were compared. Training trials were divided into two segments: (1) an asynchronous segment with one relevant and one irrelevant cue held constant while one relevant and one irrelevant cue varied and (2) a synchronous segment with all cues free to vary. The…
Descriptors: College Students, Concept Formation, Cues, Educational Research
Hausler, Joel; Sanders, John W.; Young, Barbara – Online Submission, 2007
We examined the relationship between learning styles and student type. This research seeks to examine if online students exhibit different learning styles from onsite students; and, if so, what accommodations relating to learning style differences may be made for online students? Students (N = 80) were asked to complete an online survey in order…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Student Characteristics
Suzuki, Nancy; Rohwer, William D., Jr. – Child Develop, 1969
Research supported in part by a contract with the U.S. Office of Economic Opportunity OEO-2404.
Descriptors: Children, College Students, Deep Structure, Nouns

And Others; Berry, Gene A. – Perceptual and Motor Skills, 1980
Spatial and sequential tasks performed both independently and jointly were compared for 40 undergraduates grouped by sex and dominant hand. When both tasks were performed simutaneously, there was a significant advantage for right-handers and a slight advantage for males. This was attributed to hemispheric interference left-handers experienced.…
Descriptors: Adults, Cerebral Dominance, College Students, Lateral Dominance

Glynn, Shawn M.; Di Vesta, Francis J. – Journal of Educational Psychology, 1977
Subjects read a textual passage encompassing hierarchically related topics. A structural outline presented in advance of reading the text facilitated reproductive recall of facts. The recall of specific facts was superior to that of general facts, implying an experimental demand to be precise in learning and recalling specific factual material.…
Descriptors: Advance Organizers, College Students, Higher Education, Learning Processes

Stewart, Karen L.; Felicetti, Linda A. – Educational Research Quarterly, 1992
Results from a Gregorc Style Delineator completed by 99 underclass business majors, 65 upperclass business majors in an area other than marketing, and 101 marketing majors show that the dominant learning styles for upperdivision marketing students were Concrete Sequential and Abstract Random. Implications for instruction are discussed. (SLD)
Descriptors: Business Education, Cognitive Style, College Students, Higher Education

Tennyson, Robert D.; And Others – Journal of Educational Psychology, 1975
The strategy variables investigated were: 1) sequence, a presentation of instances according to a defined relationship of the stimuli--organized versus random; and 2) analytical explanation, a verbal statement presented with each instance which analyzed the presence or absence of the critical attributes. Concept learning implications were…
Descriptors: College Students, Comparative Analysis, Concept Formation, Conceptual Schemes
COOK, JOHN O.; MILLER, HOWARD G. – 1963
SIX SEPARATE STUDIES, ALL CONCERNED WITH GUIDED TRIALS DURING THE LEARNING PROCESS, WERE REPORTED. SPECIFIC ASPECTS COVERED BY THE RESEARCH INCLUDE--(1) GUIDANCE AND SYMBOLIC LEARNING AND (2) GUIDANCE AND SEQUENTIAL LEARNING. VARYING NUMBERS OF COLLEGE UNDERGRADUATES WERE USED AS SUBJECTS IN THE SIX EXPERIMENTAL PROCEDURES. THESE INCLUDED--(1)…
Descriptors: Anxiety, College Students, Educational Experiments, Learning Processes
Boutwell, Richard C.; Tennyson, Robert D. – 1973
The multivariate effect of task sequence, memory support, and state anxiety was investigated using a nonverbal concept acquisition task. Ninety-five Indian college students were randomly assigned to four treatment conditions resulting from the task sequences of 1) easy-to-hard and 2) hard-to-easy and from memory support versus nonmemory support.…
Descriptors: Anxiety, College Students, Educational Research, Learning Processes

Jacobus, Kenneth A.; Love, Craig T. – Journal of Psychology, 1971
Descriptors: Cognitive Processes, College Students, Error Patterns, Inhibition

Cordoni, Barbara K.; And Others – Journal of Learning Disabilities, 1981
Consistent with earlier research using the Wechsler Intelligence Scale for Children (WISC) and the WISC-Revised, the Information, Digit Span, and Digit Symbol (i.e., Coding) subtests contribute substantially and independently to group differentiation. A. Bannatyne's Sequential factor also discriminates between these groups. (Author)
Descriptors: College Students, Higher Education, Intelligence Tests, Learning