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Esther Vernon; Alison Dunphy – Curriculum Journal, 2025
This paper discusses the application of Karl Maton's notion of 'semantic waves' to the teaching of geography at the post-16 phase (A-level) in England. Drawing on evidence generated through a 2-year close-to-practice case study, it illustrates its potential as a scaffold in two ways. Firstly, one that can help teachers face both ways: Towards…
Descriptors: Geography Instruction, Teaching Methods, Scaffolding (Teaching Technique), Semantics
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Xin Sun; Owen Norton; Shaylene E. Nancekivell – npj Science of Learning, 2023
Three experiments examine how providing learning style information (a student learns hands-on or visually) might influence thinking about that student's academic potential. Samples were American and predominately white and middle-class. In Experiment 1, parents (N = 94) and children (N = 73, 6-12 years) judged students who learn visually as more…
Descriptors: Cognitive Style, Parent Attitudes, Student Attitudes, Teacher Attitudes
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Xiaojian Bai – Innovations in Education and Teaching International, 2025
This study aims to determine the impact of Industry 4.0 innovations, namely infographics and product modelling, on students' academic performance and visual thinking skills. The experiment involved 164 students. Teaching tools promote the student's academic performance and visual thinking. The average grade of academic performance was higher in…
Descriptors: Industry, Innovation, Visual Aids, Design
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Nagaletchimee Annamalai; Darwalis Sazan – Educational Process: International Journal, 2025
Background/purpose: This study examines integrating the VARK learning style model into Learning Management Systems (LMS) to create more personalized learning experiences. The VARK model classifies the learners as Visual, Auditory, Reading, Writing, or Kinesthetic, enabling tailored instructional strategies. Materials/methods: By employing an…
Descriptors: Student Attitudes, Preferences, Cognitive Style, Learning Strategies
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Alina Pricopie-Filip; Mihaela Andrei – International Society for Technology, Education, and Science, 2024
School dropout is a topical theme in the educational field in the last decade. In the technical field especially, school dropouts currently have alarming rates. To reduce school dropout technical educational institutions, tried to apply some practical solutions like moving mathematics to the 2nd year of study, year tutors to assist/support…
Descriptors: Cognitive Style, Student Attitudes, Technology Education, Visual Learning
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Fatima Zahra Lotfi; Tono Suwartono; Brahim Maziane; Sri Nurhayati; Youssef Laajan; Brahim Nachit – Educational Process: International Journal, 2025
Background/purpose: Collaborative concept maps (CCMs) stand out for their ability to organize knowledge and enhance retention. However, their use in higher education raises questions about their effectiveness. This study aims to evaluate the effect of CCMs on learning of students enrolled in the Master's program in Training and Supervision…
Descriptors: Concept Mapping, Higher Education, Cooperative Learning, Masters Programs
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Tomita, Kei – Educational Technology Research and Development, 2022
Despite the recognized importance of emotion in learning (Kim and Pekrun in Handbook of research on educational communications and technology, 4th ed., Springer, pp. 65-75, 2014), instructional material design research primarily focuses on cognition, tending to ignore the affective dimension (Brom et al. in Educ Res Rev 25:100-119, 2018). To…
Descriptors: Design, Emotional Response, Learning Processes, Material Development
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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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Brooke DiGiovanni Evans; Dominque Harz; Emily R. Schwartz – Journal of Museum Education, 2025
This case study examines a workshop utilizing visual art-based methodologies to support second-year medical students in their transition into clerkship. Through a series of three activities, art educators and medical faculty collaborated to facilitate student reflection on this pivotal academic transition. The workshop created a reflective space…
Descriptors: Medical Students, Medical Education, Museums, Arts Centers
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Yuchen Chen; Xinli Zhang; Lailin Hu – Educational Technology & Society, 2024
In conventional ancient Chinese poetry learning, students tend to be under-motivated and fail to understand many aspects of poetry. As generative artificial intelligence (GAI) has been applied to education, image-GAI (iGAI) provides great opportunities for students to generate visualized images based on their descriptions of poems, and to situate…
Descriptors: Elementary School Students, Grade 5, Poetry, Artificial Intelligence
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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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Talib, Pawan Asghar – Arab World English Journal, 2022
This research was carried out to add to the current literature on learning styles by explaining various understandings of the topic and the previous research on it. Studies and information on learning styles and strategies are abundant, and the need for more research stems from the recent move towards student-centered classes. This paper is an…
Descriptors: Undergraduate Students, Student Attitudes, Correlation, Cognitive Style