NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 26 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
Peer reviewed Peer reviewed
Direct linkDirect link
Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
Maaliw, Renato R., III – Online Submission, 2016
Virtual Learning Environment (VLE) such as Moodle, Blackboard, and WebCT are commonly and successfully used in E-education. While they focus on supporting educators in creating and holding online courses, they typically do not consider the individual differences of learners. However, learners have different needs and characteristics such as prior…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Cognitive Style
Peer reviewed Peer reviewed
Direct linkDirect link
Tran, Xuan; Williams, Janae; Mitre, Bridget; Walker, Victoria; Carter, Kala – Journal of Teaching in International Business, 2017
Purpose: The purpose of this study is to develop a model of motives and career choice based on learning styles in order to apply the model in teaching business. Although the relationship between learning and McClelland's (1961) three motives (achievement, affiliation, and power) as confirmed that motives are "learned," little research…
Descriptors: Cognitive Style, Career Choice, Models, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Wilson, LeVon E.; Sipe, Stephanie R. – Journal of Legal Studies Education, 2014
The purpose of this study was to determine whether an active learning classroom environment is more effective in teaching university students certain concepts of business law than the traditional lecture environment. To generate data to answer this question, over a seven-semester period beginning in fall semester 2005, six classes of Legal…
Descriptors: Comparative Analysis, Active Learning, Cognitive Style, Conventional Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chiang, Yu-Tzu; Lin, Sunny S. J.; Liu, Eric Zhi-Feng – Turkish Online Journal of Educational Technology - TOJET, 2012
This research is comprised of two studies designed to explore the effects of online discussion forum aggressive messages and Internet cognitive distortion on users' negative affect and aggression. The results of study 1 revealed 69 users could perceive both disgust and hostility feelings toward aggressive messages conducted by the authors, and…
Descriptors: Aggression, Internet, Computer Mediated Communication, Affective Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Mahnane, Lamia; Tayeb, Laskri Mohamed; Trigano, Philippe – International Journal of Information and Communication Technology Education, 2013
Recent years have shown increasing awareness for the importance of adaptivity in e-learning. Since the learning style of each learner is different. Adaptive e-learning hypermedia system (AEHS) must fit different learner's needs. A number of AEHS have been developed to support learning styles as a source for adaptation. However, these systems…
Descriptors: Electronic Learning, Hypermedia, Cognitive Style, Knowledge Level
Fazeli, Seyed Hossein – Online Submission, 2012
This study aims to rank types of English language learning strategies that are used by Iranian female university level learners of English language as a university major. The results show that except for the Metacognitive Strategies category, the mean score for each of the five categories fell in the range of medium strategy use.
Descriptors: Learning Strategies, Metacognition, English (Second Language), Majors (Students)
Peer reviewed Peer reviewed
Direct linkDirect link
Strang, Kenneth David – Intercultural Education, 2010
The study examined 2500 business degree students from 21 countries, enrolled at an Australian university, using a survey to assess learning style, which was integrated into a global culture taxonomy. The research hypothesis was that academic outcome could be explained through an interdisciplinary model, by integrating proven theories from…
Descriptors: Cognitive Style, Educational Psychology, Anthropology, Least Squares Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Botsios, Sotiris; Georgiou, Demetrius; Safouris, Nikolaos – Educational Technology & Society, 2008
In order to establish an online diagnostic system for Learning Style Estimation that contributes to the adaptation of learning objects, we propose an easily applicable expert system founded on Bayesian Networks. The proposed system makes use of Learning Style theories and associated diagnostic techniques, simultaneously avoiding certain error…
Descriptors: Cognitive Style, Hypermedia, Measures (Individuals), Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Kappe, F. R.; Boekholt, L.; den Rooyen, C.; Van der Flier, H. – Learning and Individual Differences, 2009
Multiple and specific learning criteria were used to examine the predictive validity of the Learning Style Questionnaire (LSQ). Ninety-nine students in a college of higher learning in The Netherlands participated in a naturally occurring field study. The students were categorized into one of four LSQ dimensions, namely, Activists, Theorists,…
Descriptors: Cognitive Style, Academic Achievement, Predictive Validity, Criteria
Peer reviewed Peer reviewed
Direct linkDirect link
Yuksel, Ulku; Sutton-Brady, Catherine – Journal of College Teaching & Learning, 2007
This study investigates marketing three phenomena. First authors examine student's approaches to studying and learning, then they explore their conceptions of learning, and they finally delve into teacher's perceptions of student's learning. Authors recast the conceptions of learning literature in which they classify simplifiers, accountants,…
Descriptors: College Students, Marketing, Student Attitudes, Classification
Peer reviewed Peer reviewed
Huang, Ming-Shiunn – Journal of Psychology, 1981
Pettigrew's Category Width Scale was administered to 150 first-year psychology students in a study designed to relate a cognitive style dimension, category width, to individual preferences in information processing strategies. (Author/CM)
Descriptors: Classification, Cognitive Processes, Cognitive Style, College Students
Previous Page | Next Page »
Pages: 1  |  2