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The Feasibility of Distance Education for Cyber-Savvy Students
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Kaifi, Belal A.; Mujtaba, Bahaudin G.; Williams, Albert A. – Quarterly Review of Distance Education, 2009
Based on the learner's needs and current technology status, this study provides a review on the feasibility of online education for modern students in a developed nation. This research provides an analysis of the survey responses of 203 undergraduate students by focusing on views, needs, and wants for offering online courses and programs.
Descriptors: Undergraduate Students, Distance Education, Online Courses, Electronic Learning
Comparison of Instructors' and Students' Perceptions of the Effectiveness of Online Courses
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Seok, Soonhwa; DaCosta, Boaventura; Kinsell, Carolyn; Tung, Chan K. – Quarterly Review of Distance Education, 2010
This study used an extensive online course evaluation inventory to analyze the subjects' perceptions of course effectiveness in the following subscales: flexibility, user interface, navigation, getting started, technical assistance, course management, universal design, communications, instructional design, and content. Survey results compared…
Descriptors: Course Evaluation, Online Courses, Interpersonal Communication, Teaching Experience
The Impact of Student Learning Styles with Web-Based Learning or Instructor-Based Learning on Student Knowledge and Satisfaction
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Manochehri, Nasar; Young, Jon I. – Quarterly Review of Distance Education, 2006
This study compared the effects student learning styles with Web-based learning (WBL) and traditional instructor-based learning (ILB) on student knowledge and satisfaction. Learning methods (Web-based and instructor-based) and learning styles (Diverger, Converger, Assimilator, and Accommodator) were the independent variables. Student knowledge and…
Descriptors: Cognitive Style, Learning Strategies, Web Based Instruction, Conventional Instruction
Predicting Computer Self-Confidence from Demographic and Personality Variables and Computer Use
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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