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Oshra Aloni; Michal Zion; Ornit Spektor-Levy – Instructional Science: An International Journal of the Learning Sciences, 2024
Students' individual characteristics influence the effectiveness of instruction and learning and, therefore, the depth of learning. This study brings forth the voices of middle school students regarding their science learning preferences through four modalities: visual, auditory, sensorimotor, and agency support. We examined the relationship…
Descriptors: Student Attitudes, Preferences, Cognitive Style, Student Characteristics
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Rosar, Michaela; Weidlich, Joshua – Research and Practice in Technology Enhanced Learning, 2022
Creativity is an increasingly recognized construct in technology-enhanced learning. However, our understanding of how creativity interacts with the design of online learning environments to affect learning experiences is still limited. For example, do creative students benefit from different learning environment designs than those benefitting…
Descriptors: Online Courses, Creativity, Independent Study, Personality Traits
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Khan, Sher Afgan; Arif, Manzoor Hussain; Yousuf, Muhammad Imran – Bulletin of Education and Research, 2019
Major focus of this study was on visual, auditory and kinesthetic learning preferences of college students as given in Dunn and Dunn model (Dunn & Dunn, 1993) and their relationship with academic achievement of students. The nature of study was quantitative, descriptive and correlational. All (male and female, science and arts) students…
Descriptors: Correlation, Preferences, Academic Achievement, High Achievement
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Nja, Cecilia Obi; Umali, Cornelius-Ukpepi Beneddtte; Asuquo, Edoho Emmanuel; Orim, Richard Ekonesi – Educational Research and Reviews, 2019
This research work investigated the influence of learning styles on academic performance among Science Education undergraduates of the University of Calabar, Nigeria. The learning model used for this study comprised, visual, auditory, kindergarten, global analytical impulsive, reflective, individual and group models. Expo facto design was used for…
Descriptors: Cognitive Style, Academic Achievement, Science Education, Undergraduate Students
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Corbitt, William Keith – Dimension, 2017
Research on the acquisition of foreign languages by at-risk students has primarily focused on the Linguistic Coding Deficit Hypothesis (Horwitz, 2000). Recently, there has been a growing discussion regarding the effects of learning style rigidity (Castro, 2006; Castro and Peck, 2005; Corbitt, 2011; Sparks, 2006) and metacognitive awareness…
Descriptors: Metacognition, At Risk Students, Cognitive Style, Linguistic Theory
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Shuib, Munir; Azizan, Siti Norbaya – Journal of Educators Online, 2015
Individuals preferentially process information in different ways. This includes the varied learning style preference of the individuals in any study program, including English as a Second Language (ESL). However, one of major concerns is, do the ESL students have different preferred way to learn? Past studies have given mixed results including…
Descriptors: Foreign Countries, Cognitive Style, Preferences, Gender Differences
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Rogowsky, Beth A.; Calhoun, Barbara M.; Tallal, Paula – Journal of Educational Psychology, 2015
While it is hypothesized that providing instruction based on individuals' preferred learning styles improves learning (i.e., reading for visual learners and listening for auditory learners, also referred to as the "meshing hypothesis"), after a critical review of the literature Pashler, McDaniel, Rohrer, and Bjork (2008) concluded that…
Descriptors: Cognitive Style, Teaching Methods, Learning Theories, Preferences