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Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – Australasian Journal of Educational Technology, 2017
This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…
Descriptors: Cognitive Style, Blended Learning, Computer Attitudes, Models
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
Willshire, Michael – School Science Review, 2013
In a relatively short space of time, classrooms have become full of computers, gadgets and electronic devices. Technology will only continue to become more sophisticated, more efficient and more abundant in schools. But how desirable is this technological revolution and to what extent should it develop? To measure the effectiveness and popularity…
Descriptors: Foreign Countries, Secondary School Students, Secondary School Teachers, Student Attitudes
Salminen-Karlsson, Minna – Journal of Vocational Education and Training, 2009
This article argues that research on gender and adult learning too often regards men and women as unified and separate groups, and does not take intra-gender variation into account. It presents one possible approach to address this problem, in a study of 142 women and 35 men attending basic computer courses in Swedish municipal adult education…
Descriptors: Females, Computer Attitudes, Adult Education, Adult 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
Altun, Arif; Cakan, Mehtap – Educational Technology & Society, 2006
This paper reports an investigation of cognitive styles, achievement scores and attitudes toward computers among university students. Field dependence/field independence is a dimension of cognitive style that has been researched with various student groups as well as with attitudes. Nevertheless, there appears to be a dearth of published research…
Descriptors: Undergraduate Students, Cognitive Style, Student Attitudes, Computer Attitudes

Shaw, Graham; Marlow, Nigel – Computers & Education, 1999
Describes a study conducted at the University of North London (England) that used an illuminative approach to evaluate undergraduate students' initial attitudes towards the use of information and communication technology. Discusses results of Honey and Mumford's learning style questionnaire and a factor analysis of student attitudes that included…
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Attitudes, Educational Technology
Graff, Martin – Electronic Journal of e-Learning, 2003
The studies described in this paper sought to investigate several forms of online learning and assessment methods in terms their efficacy in facilitating student learning. The studies also sought to investigate how participants rated each method. Attitudes toward computer-assisted learning were not related to performance on each of the online…
Descriptors: Online Courses, Electronic Learning, Educational Technology, Technology Uses in Education
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
Simonson, Michael, Ed.; Crawford, Margaret, Ed. – Association for Educational Communications and Technology, 2004
For the twenty-seventh 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 Chicago, Illinois. The Proceedings of AECT's Convention are published in two…
Descriptors: Research and Development, Communications, Educational Technology, Mathematics Instruction