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O'Hanlon, Charlene – T.H.E. Journal, 2010
Care has to be taken when relating technology's use in college and university lecture halls to the way it's applied in K-12 classrooms. Differences in pedagogy, learning styles, and even attendance can impact the way the respective students in the two environments consume technology, which in turn impacts the technology's effectiveness as a…
Descriptors: Higher Education, Computer Uses in Education, Best Practices, Elementary Secondary Education
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Mabrito, Mark; Medley, Rebecca – Innovate: Journal of Online Education, 2008
One way of better understanding Net-Generation learners is to examine the texts they create on online social networking, blogging, and image sites as well as in virtual worlds. Mark Mabrito and Rebecca Medley explore the nature of Net-Generation texts as a reflection of the cognitive differences between this generation's students and their older…
Descriptors: Perspective Taking, Content Analysis, Computer Mediated Communication, Social Networks
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Flege, James Emil – TESOL Quarterly, 1981
Discusses foreign language pronunciation from phonetic difference and phonetic learning viewpoints. Proposes phonological translation hypothesis based on assumption that neither physiological maturation nor neurological reorganization is as important for adults learning a foreign language without an accent as the tendency of mature speakers to…
Descriptors: Adults, Age Differences, Children, Cognitive Style
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Saracho, Olivia N. – Studies in Educational Evaluation, 1982
Cognitive styles characterize individuals' personalities as well as their social and cognitive functioning. An assessment of cognitive style can present another dimension of individual differences in children as the basis for planning and evaluating early childhood programs. (Author/LC)
Descriptors: Age Differences, Cognitive Style, Evaluation Needs, Learning Processes
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Smith, Peter J. – Instructional Science, 2001
Describes a study of Australian post-secondary technology students that tested learning preferences using the Canfield Learning Styles Inventory. Topics include gender differences, age group differences, print versus nonprint, collaborative versus dependent learning, self-directed learning, and implications for the design of flexible delivery.…
Descriptors: Age Differences, Cognitive Style, Foreign Countries, Independent Study
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Jamieson, Joan; Chapelle, Carol – System, 1988
Outlines five student characteristics (age, expectations, ability, cognitive style, and affect) that may be important for examining computer materials and suggests how teachers and researchers can observe students' use of computer-assisted language learning to make appropriate instructional decisions. (Author/CB)
Descriptors: Academic Ability, Age Differences, Cognitive Style, Computer Assisted Instruction
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Bishop-Clark, Catherine; Lynch, Jean M. – College Teaching, 1992
A study of nontraditional college students' attitudes identified specific challenges faced in teaching intergenerational groups: discomfort of older students; different orientations toward the professor; older students' role as authorities; differing learning styles; hostility between age groups. Teaching strategies encouraging personal contact,…
Descriptors: Adult Students, Age Differences, Classroom Techniques, Cognitive Style
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Giordano, James; Rochford, Regina A. – Community College Enterprise, 2005
Recently, business education programs have experienced a decline in enrollment and an increase in attrition. To understand these issues and recommend solutions, the learning styles of 503 first-year business majors at an urban community college were examined. The results demonstrated that: (a) 94% of the participants were analytic learners; (b)…
Descriptors: Majors (Students), Cognitive Style, Grade Point Average, Gender Differences
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Ford, Nigel; Chen, Sherry Y. – Journal of Educational Multimedia and Hypermedia, 2000
Describes a study conducted at the University of Sheffield (United Kingdom) that measured the learning behavior and performance of 65 postgraduate students using a hypermedia-based tutorial. Considers cognitive style, levels of prior experience, motivation, age, gender, and navigation patterns. (Author/LRW)
Descriptors: Academic Achievement, Age Differences, Cognitive Style, Computer Assisted Instruction