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Moussa, Nahla Mohamed Aly – ProQuest LLC, 2015
Today, adoption of innovative technology is an important subject for research and work. Recent research discussed the importance of integrating modern technology into teaching and learning environments in higher education settings (Aucoin, 2014; Fisher, Worley & Fernandez, 2012; Kajuna, 2009). Learning styles of individuals also play an…
Descriptors: Cognitive Style, Student Attitudes, Computer Attitudes, Technology Integration
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
Bhrommalee, Panu – ProQuest LLC, 2011
Online learning provides learners with more convenient and flexible ways of learning than does a traditional learning environment. Many Thai universities have implemented online learning for their students despite a lack of knowledge and understanding about students' attitudes toward and behavioral intention to using the system. The purpose of…
Descriptors: Electronic Learning, Cognitive Style, Student Attitudes, Online Courses
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
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
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