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Chen, Guodong; Zhao, Qixun; Rong, Pan; Li, Zuting; Bei, Kong – International Journal of Technology and Design Education, 2023
Industrial design (ID) education involves students with different cognition types. This study aims to explore and compare the design activities of problem-driven and solution-driven students and examine the stability of the design process of the two classifications regarding constraints. Based on the P-S index derived from…
Descriptors: Design, Cognitive Processes, Problem Solving, Industrial Arts
O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
Obeng, Asare Yaw – Cogent Education, 2023
The learning processes have been significantly impacted by technology. Numerous learners have adopted technology-based learning systems as the preferred form of learning. It is then necessary to identify the learning styles of learners to deliver appropriate resources, engage them, increase their motivation, and enhance their satisfaction and…
Descriptors: Predictor Variables, Cognitive Style, Electronic Learning, College Freshmen
Kalender Arikan – Journal of Baltic Science Education, 2025
Learning style (LS), either visual or verbal, has become debatable in the f ield of education vis-à-vis its relation to student success. However, it remains a valuable research theme for improving learning activities in the teaching of highly visual science fields, including biology, physics, and chemistry. Previous studies have primarily focused…
Descriptors: Cognitive Style, Biology, Retention (Psychology), Science Education
Andrew R. Thompson – Advances in Physiology Education, 2024
The revised two-factor Study Process Questionnaire and the Approaches and Study Skills Inventory for Students are two instruments commonly used to measure student learning approach. Although they are designed to measure similar constructs, it is unclear whether the metrics they provide differ in terms of their real-world classification of learning…
Descriptors: Comparative Analysis, Anatomy, Classification, Cognitive Style
Azzi, Ibtissam; Jeghal, Adil; Radouane, Abdelhay; Yahyaouy, Ali; Tairi, Hamid – Education and Information Technologies, 2020
In E-Learning Systems, the automatic detection of the learners' learning styles provides a concrete way for instructors to personalize the learning to be made available to learners. The classification techniques are the most used techniques to automatically detect the learning styles by processing data coming from learner interactions with the…
Descriptors: Classification, Prediction, Identification, Cognitive Style
Haghani, Mastaneh; Rashtchi, Mojgan – Asian-Pacific Journal of Second and Foreign Language Education, 2023
The present quasi-experimental study investigated which component of processing instruction (PI) is responsible for its beneficial effects and whether EFL learners with different learning styles similarly benefit from PI components. In doing so, a sample of 67 first-year students took part in a study with a non-equivalent control group…
Descriptors: Second Language Learning, Second Language Instruction, Grammar, Teaching Methods
Chen, Liwen – Educational Technology & Society, 2023
The aim of this Q-study was to identify and categorize learners' learning styles and preferences with regard to the incorporation of gamification-enhanced activities in a partially flipped gamified classroom during a Taiwan university eighteen week's Introduction to Marketing course. Q-methodology was used because it identifies assorted viewpoints…
Descriptors: Cognitive Style, Flipped Classroom, Teaching Methods, Q Methodology
Alan English – Advocate, 2020
The term "learning styles theory" refers to a belief that students have individualized modes of learning which, once determined, will lead to improved classroom performance if material is presented in that specified mode. Despite a lack of empirical evidence, it is one of the most enduring and wide-spread beliefs in public education,…
Descriptors: Cognitive Style, Misconceptions, Public Opinion, Learning Theories
Caceffo, Ricardo; Valle, Eduardo; Mesquita, Rickson; Azevedo, Rodolfo – European Journal of Physics Education, 2019
According to the Felder and Silverman Learning Styles Model (FSM), students have learning preferences regarding how information is obtained, processed, perceived and understood. The Index of Learning Styles (ILS) is an online questionnaire created by Felder and Soloman to classify students according to their learning styles. With a priori…
Descriptors: Prediction, Cognitive Style, Models, Science Achievement
Alian, Marwah; Shaout, Adnan – Education and Information Technologies, 2017
Learners style is grouped into four types mainly; Visual, auditory, kinesthetic and Read/Write. Each type of learners learns primarily through one of the main receiving senses, visual, listening, or by doing. Learner style has an effect on the learning process and learner's achievement. It is better to select suitable learning tool for the learner…
Descriptors: Prediction, Cognitive Style, Models, Student Characteristics
El Aissaoui, Ouafae; El Alami El Madani, Yasser; Oughdir, Lahcen; El Allioui, Youssouf – Education and Information Technologies, 2019
Adaptive E-learning platforms provide personalized learning process relying mainly on learning styles. The traditional approach to find learning styles depends on asking learners to self-evaluate their own attitudes and behaviors through surveys and questionnaires. This approach presents several weaknesses including the lack of self-awareness of…
Descriptors: Classification, Cognitive Style, Models, Electronic Learning
Cibelli, Emily – Second Language Research, 2022
Non-native phoneme perception can be challenging for adult learners. This article explores two routes to strengthening early representations of non-native targets: perceptual training, which focuses on auditory discrimination of novel contrasts, and articulatory training, which highlights the articulatory gestures of non-native categories. Of…
Descriptors: Phonemes, Auditory Perception, Second Language Learning, Second Language Instruction
Abdelhadi, Abdelhakim; Ibrahim, Yasser; Nurunnabi, Mohammad – Education Sciences, 2019
This study aims to use group technology to classify students at the classroom level into clusters according to their learning style preferences. Group technology is used, due to the realization that many problems are similar, and that by grouping similar problems, single solutions can be found for a set of problems. The Felder and Silverman style,…
Descriptors: Cognitive Style, Engineering Education, Teaching Styles, Student Interests