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Aksoy, Esra; Narli, Serkan; Aksoy, Mehmet Akif – International Journal of Research in Education and Science, 2018
In the identification process, there may be gifted students who may be unnoticed or students who are misdiagnosed and are disappointed. In this context, this study is a step that may solve these two problems about the identification of mathematically gifted students with the help of data mining, which is data analysis methodology that has been…
Descriptors: Academically Gifted, Talent Identification, Data Collection, Mathematics Instruction
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Sternquist, Brenda; Huddleston, Patricia; Fairhurst, Ann – Journal of Marketing Education, 2018
We provide an overview of ways to involve undergraduate business and retailing students in faculty research projects and discuss advantages of these student-faculty collaborations. We use Kolb's experiential learning cycle to provide a framework for creating an effective and engaging undergraduate research experience and use it to classify types…
Descriptors: Undergraduate Students, Retailing, Distributive Education, Research Projects
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Micheaux, Andrea; Bosio, Birgit – Journal of Marketing Education, 2019
As firms gather increasing amounts of data, the question of how future marketers can use these data to make their marketing more relevant and to make a strategic difference remains. However, students may feel uncomfortable about information systems and database technology, which they may perceive as complex and dry. This case describes how the…
Descriptors: Teaching Methods, Marketing, Data Analysis, Course Descriptions
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Hansen, Louise; Cottrell, David – Journal of Experimental Education, 2013
Advocates of modality preference posit that individuals have a dominant sense and that when new material is presented in this preferred modality, learning is enhanced. Despite the widespread belief in this position, there is little supporting evidence. In the present study, the authors implemented a Morse code-like recall task to examine whether…
Descriptors: Cognitive Style, Learning Modalities, Recall (Psychology), Experiments
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Tumkaya, Songul – Educational Sciences: Theory and Practice, 2012
The aim of this study is to investigate the epistemological beliefs of university students according to their genders, classes, fields of Study, academic success and learning styles. This study was carried out with 246 females and 242 males, in total 488 university students. The data was collected through Epistemological Beliefs Questionnaire…
Descriptors: Foreign Countries, Epistemology, Beliefs, College Students
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Narli, Serkan; Ozgen, Kemal; Alkan, Huseyin – Learning and Individual Differences, 2011
The present study aims to identify the relationship between individuals' multiple intelligence areas and their learning styles with mathematical clarity using the concept of rough sets which is used in areas such as artificial intelligence, data reduction, discovery of dependencies, prediction of data significance, and generating decision…
Descriptors: Multiple Intelligences, Cognitive Style, Artificial Intelligence, Data Analysis
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Sarikcioglu, Levent; Senol, Yesim; Yildirim, Fatos B.; Hizay, Arzu – Advances in Physiology Education, 2011
The summary is the last part of the lesson but one of the most important. We aimed to study the relationship between the preference of the summary method (video demonstration, question-answer, or brief review of slides) and learning styles. A total of 131 students were included in the present study. An inventory was prepared to understand the…
Descriptors: Video Technology, Cognitive Style, Visual Aids, Measures (Individuals)
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Solvie, Pamela; Sungur, Engin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2012
This study, using mixed methods design research, examined the achievement of third level preservice teachers when advice in the form of text and resources was provided based on students' identified learning styles. In this study, Kolb's learning style inventory was used to identify students' preferred learning style preferences, and an online…
Descriptors: Preservice Teacher Education, Preservice Teachers, Cognitive Style, Learning Processes
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Salter, Daniel W.; Evans, Nancy J.; Forney, Deanna S. – Journal of College Student Development, 2006
The stability of learning style preferences, as measured by the Myers-Briggs Type Indicator (MBTI) and Learning Style Inventory (LSI), was examined using a configural frequency analysis of differences. Thirteen cohorts (222 graduate students) completed the instruments 3 times during their programs. Implications for use of learning style measures…
Descriptors: Longitudinal Studies, Cognitive Style, Cognitive Measurement, Grouping (Instructional Purposes)
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Choi, Jin M. – College and Research Libraries, 1989
Describes a study that examined the learning styles of 140 academic librarians in public and technical services using Kolb's Learning Style Inventory. The findings do not indicate significant differences in learning styles of technical and public services librarians. Relationships between learning styles and variables such as sex, age, education,…
Descriptors: Academic Libraries, Cognitive Measurement, Cognitive Style, Comparative Analysis
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Knight, Kim H.; Elfenbein, Morton H.; Martin, Matthew B. – Sex Roles: A Journal of Research, 1997
Examines relationship between Connected and Separate Knowing dimensions of Knowledge Styles Inventory (K. Knight and others, 1994) and learning modes of A. Kolb (1984), formal operational reasoning (B. Inhelder and J. Piaget, 1958, 1975; G. Tobin and W. Capie, 1981), and vocabulary and abstract thinking abilities (W. Shipley, 1940). Findings…
Descriptors: Abstract Reasoning, Data Analysis, Educational Research, Higher Education
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Dunn, Rita – Emergency Librarian, 1993
Discusses the findings of multicultural research using the Learning Style Inventory and the Productivity Environmental Preference Survey. Differences in learning style among students and young adults of differing ethnic groups, between male and female students, between high achievers and underachievers, and between the gifted and nongifted are…
Descriptors: Achievement, Cognitive Style, Comparative Analysis, Cultural Differences
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Dille, Brian; Mezack, Michael – American Journal of Distance Education, 1991
Describes a study that was conducted to identify predictors of high-risk students enrolled in telecourses at a community college. The use of Rotter's Internal-External Locus of Control Scale (RIELC) and Kolb's Learning Style Inventory (LSI) are explained, hypotheses tested are discussed, and demographic variables are examined. (seven references)…
Descriptors: Academic Achievement, Analysis of Variance, Cognitive Style, Community Colleges