Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 13 |
Since 2006 (last 20 years) | 23 |
Descriptor
Source
Author
Amitan, Irina | 2 |
Mironova, Olga | 2 |
Saar, Merike | 2 |
Vendelin, Jelena | 2 |
Vilipõld, Jüri | 2 |
Akan, Obasi H. | 1 |
Ali, Zuraina | 1 |
Alina Pricopie-Filip | 1 |
Anbarasi, M. | 1 |
Andres, Hayward P. | 1 |
Arif, Manzoor Hussain | 1 |
More ▼ |
Publication Type
Reports - Research | 20 |
Journal Articles | 18 |
Dissertations/Theses -… | 2 |
Speeches/Meeting Papers | 2 |
Tests/Questionnaires | 2 |
Collected Works - Proceedings | 1 |
Education Level
Postsecondary Education | 23 |
Higher Education | 22 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Two Year Colleges | 1 |
Audience
Location
China | 2 |
Malaysia | 2 |
Canada | 1 |
Canada (Calgary) | 1 |
Ecuador | 1 |
Estonia | 1 |
Illinois | 1 |
India | 1 |
Libya | 1 |
Montana | 1 |
New York | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Learning Style Inventory | 3 |
Learning Style Profile (NASSP) | 1 |
What Works Clearinghouse Rating
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
Chetty, Nithya Dewi Subramaniam; Handayani, Lina; Sahabudin, Noor Azida; Ali, Zuraina; Hamzah, Norhasyimah; Rahman, Nur Shamsiah Abdul; Kasim, Shahreen – International Journal of Evaluation and Research in Education, 2019
Individuals learn in different ways using several learning styles, but lecturers may not always share material and learning experiences that match students' learning preferences. Mismatches between learning and teaching styles can lead to disappointment with students are taking, and lead to underperformance among them. The aim of this study is to…
Descriptors: Cognitive Style, Teaching Styles, Academic Achievement, College Students
Pamela Luft; Charlotte Brochu – American Annals of the Deaf, 2023
Online learning environments are challenging for deaf and hard of hearing (DHH) individuals. A major concern is split attention, which occurs when one simultaneously attends to multiple stimuli, a situation that characterizes most multimedia presentations and instruction that combines sound, text, images, graphs or charts, and video. Needing to…
Descriptors: Fatigue (Biology), Visual Learning, Deafness, Electronic Learning
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
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
Lui, Catherine J.; Ferrin, Scott E.; Baum, Donald R.; Randall, Vance E. – Journal of Hispanic Higher Education, 2020
This article addresses the question of whether higher education Hispanic students of different nationalities have different perceptual learning style preferences. Independent samples t test results suggest students of non-Mexican heritage prefer visual learning styles more than students of Mexican heritage. ANOVA results show older students and…
Descriptors: Hispanic American Students, Cognitive Style, Preferences, Visual Learning
Okulich-Kazarin, Valery; Zhurba, Mykola; Bokhonkova, Yuliia; Losiyevska, Olga – European Journal of Contemporary Education, 2019
The aim of the study was a verification of statistical hypotheses about the preferences of Ukrainian and Polish Law-students related the method of learning at lectures. There were two groups of Ukrainian Law-students and one group of Polish Law-students. The main research methods were the methods of sociological research. There are statistically…
Descriptors: Law Students, Preferences, Student Attitudes, Cognitive Style
Echeverria, Vanessa; Martinez-Maldonado, Roberto; Shum, Simon Buckingham; Chiluiza, Katherine; Granda, Roger; Conati, Christina – Journal of Learning Analytics, 2018
From a human-centred computing perspective, supporting the interpretation of educational dashboards and visualizations by the people intended to use them exposes critical design challenges that may often be trivialized. Empirical evidence already shows that "usable" visualizations are not necessarily effective from an educational…
Descriptors: Story Telling, Visual Learning, Data Analysis, Visual Aids
Sabiston, David; Leung, Ambrose – Issues in Educational Research, 2020
Do students have preferred learning styles and, if so, can these preferences -- in addition to other abilities and attributes -- influence their performance in post-secondary education? There is a significant body of literature, across many disciplines, endeavouring to answer this question. In this paper, we examine a variant of this question with…
Descriptors: Cognitive Style, Preferences, Economics Education, Microeconomics
Neupane, Ramesh – ProQuest LLC, 2019
The research purpose was to investigate the differences between learning preferences (i.e., Active-Reflective, Sensing-Intuitive, Visual-Verbal, and Sequential-Global) determined by the Index of Learning Style and gender (i.e., Male and Female) in regards to standardized achievement multiple-choice test performance determined by the Illinois Nurse…
Descriptors: Nurses, Allied Health Personnel, Cognitive Style, Preferences
Chamberlain, John Martyn – Journal of Further and Higher Education, 2017
Against the backdrop of contemporary debates surrounding the public role of criminology, this article argues that a key barrier to ensuring that the next generation of criminologists is equipped with the skills necessary to engage in critical forms of citizenship, is the quantitative "skills gap" that undergraduate students possess as a…
Descriptors: Criminology, Statistical Analysis, Case Studies, Mathematics Skills
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
Mironova, Olga; Amitan, Irina; Vendelin, Jelena; Vilipõld, Jüri; Saar, Merike – Interactive Technology and Smart Education, 2016
Purpose: This paper aims to present a teaching approach to achieve the most personal support for students with different backgrounds and preferences in studying an Informatics course. Design/Methodology/Approach: The presented methodology is based on the main principles of flexible and blended learning. The authors considered three main aspects:…
Descriptors: Electronic Learning, College Freshmen, Information Science Education, College Instruction
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
Mironova, Olga; Amitan, Irina; Vendelin, Jelena; Vilipõld, Jüri; Saar, Merike – International Association for Development of the Information Society, 2015
The present paper introduces some strategies used in teaching an Informatics course for non-IT first year university students. The strategies were developed during several years, using the main principles of flexible and blended learning. The methodology has been based on the results of experiments with students from social sciences, economics and…
Descriptors: Electronic Learning, College Freshmen, Information Science Education, College Instruction
Previous Page | Next Page »
Pages: 1 | 2