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Huang, Yong-Ming – Australasian Journal of Educational Technology, 2015
The use of collaborative technologies in learning has received considerable attention in recent years, but few studies to date have examined the factors that affect sequential and global learners' intention to use such technologies. Previous studies have shown that the learners of different learning styles have different needs for educational…
Descriptors: Technology Uses in Education, Intention, Performance Factors, Sequential Learning
Pinpathomrat, Nakarin; Gilbert, Lester; Wills, Gary B. – International Association for Development of the Information Society, 2013
This research investigates the factors that affect a students' take-up and continued use of E-learning. A mathematical model was constructed by applying three grounded theories; Unified Theory of Acceptance and Use of Technology, Keller's ARCS model, and Expectancy Disconfirm Theory. The learning preference factor was included in the model.…
Descriptors: Electronic Learning, Mathematical Models, Grounded Theory, Higher Education
Schneiderheinze, Douglas D. – ProQuest LLC, 2011
Distance learning is gaining popularity in many education environments. Online classes are on the increase because students need alternatives to traditional face-to-face classroom training. Time constraint on today's students coupled with the need for education to keep up with advances in technology, in all fields, has forced educators to…
Descriptors: Cognitive Style, Computer Attitudes, Positive Attitudes, Electronic Learning
Naimie, Zahra; Siraj, Saedah; Ahmed Abuzaid, Rana; Shagholi, Reihaneh – Turkish Online Journal of Educational Technology - TOJET, 2010
If students are demotivated, confused and look tired in class, one solution is to use new teaching styles in your class to overcome such problems. This is because learners learn in different ways such as hearing, seeing, taking notes, imagining and visualizing, among many others. The paper reports firstly, the impact of teaching and learning style…
Descriptors: Foreign Countries, Cognitive Style, Teaching Styles, Teaching Methods
Pillay, Hitendra; Irving, Kym; Tones, Megan – Higher Education Research and Development, 2007
Increasing numbers of educational institutions are adopting an online approach to teaching and learning; however, little regard has been given to the prerequisite personal and technical qualities required for academic achievement and satisfaction within this environment. In recognition of this, researchers have been exploring the design,…
Descriptors: Diagnostic Tests, Learning Readiness, Online Courses, Test Reliability
Shiue, Ya-Ming – Journal of Educational Technology Systems, 2003
This study examines the influences of learners' characteristics on the development of computer self-efficacy using the GOMS (goal, operators, methods, and selection rules) model. Students' learning style, prior computer course experience, and computer self-efficacy were measured in the pretest, and computer self-efficacy was measured in the…
Descriptors: Introductory Courses, Cognitive Style, Self Efficacy, Literacy
Ames, Pat C. – Journal of Educational Computing Research, 2003
University students' attitudes toward computers were assessed as a function of learning style. Analyses of responses provided by 232 students to a learning style assessment instrument and a computer attitude survey revealed that specific learning styles were associated with an affinity for (liking of), confidence in, and anxiety about the use of…
Descriptors: Teaching Methods, Student Attitudes, Cognitive Style, Gender Differences
Zhang, Li-Fang; He, Yunfeng – Journal of Educational Computing Research, 2003
In the present study, the thinking styles as defined in Sternberg's theory of mental self-government are tested against yet another domain relevant to student learning. This domain is students' knowledge and use of as well as their attitudes toward the use of computing and information technology (CIT) in education. One hundred and ninety-three (75…
Descriptors: Foreign Countries, Educational Technology, Cognitive Style, Student Attitudes
Morgil, Inci; Özyalçin Oskay, Özge; Yavuz, Soner; Arda, Seçil – Turkish Online Journal of Educational Technology - TOJET, 2003
The objective of the research is to learn if learning level of the university students in redox subject of chemistry education change when they use traditional learning method and computer supported method, and to compare these two methods by measuring their success through pre- test and final test. And also some factors that may affect the…
Descriptors: Computer Assisted Instruction, Chemistry, College Science, Science Instruction
Ross, Craig M.; Lukow, Jennifer E. – Journal of Scholarship of Teaching and Learning, 2004
The purpose of this study was to explore the relationship between learning styles and students' attitudes towards the use of technology in a leisure study curriculum. All 422 subjects completed the Kolb learning style inventory (LSI) and a computer attitudes survey (CAS) developed by the authors. The LSI is a standardized assessment utilized to…
Descriptors: Cognitive Style, Electronic Mail, Student Attitudes, Computer Attitudes
Morgil, Inci; Erökten, Seçil; Yavuz, Soner; Özyalçin Oskay, Özge – Turkish Online Journal of Educational Technology - TOJET, 2004
It is difficult for the students to understand some concepts related to the chemistry education such as complex formation, central ion, ligand, free electron pair, acceptor, donor, stability constant of complex and concealing. In those cases, demonstrating two dimensional models and using various molecular graphics programs on computers could be…
Descriptors: Chemistry, Visual Aids, Science Instruction, Computer Assisted Instruction
Contreras, Carlos L. M. – Quarterly Review of Distance Education, 2004
Demographic and personality variables and computer use were used to predict computer self-confidence with a sample of students enrolled in online college-credit classes. Computer self-confidence was measured with one 10-choice question. Demographic variables included age, annual income, geographic region, gender, and ethnicity. Computer use was…
Descriptors: Income, Age Differences, Ethnic Groups, Gender Differences
Henderson, George; Nash, Susan Smith – Charles C. Thomas, Publisher, Ltd, 2007
This book will improve the quality of instruction that college students need. It makes numerous suggestions that must be tended to when teachers instruct students. For example, the authors speculate about ways teachers can present what may at times seem to be a mountain of information without burying students under it; why teachers must…
Descriptors: Notetaking, Short Term Memory, Internet, Discussion Groups
Simonson, Michael, Ed.; Crawford, Margaret, Ed. – Association for Educational Communications and Technology, 2006
For the twenty-ninth year, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the National AECT Convention in Orlando, Florida. The Proceedings of AECT's Convention are published in two…
Descriptors: Research and Development, Professional Associations, Educational Technology, Teacher Educators