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Zhang, Jing; Dumont, Georgette E.; Sumbera, Becky G.; Medina, Pamela S.; Kordrostami, Melika; Ni, Anna Ya – Online Learning, 2023
Technology adoption patterns, in general, have been shown to have a common set of predictive factors such as performance expectancy, social influence, voluntariness, effort expectancy, and facilitating conditions. However, the significance of such factors varies dramatically by situation and conditions. In the faculty adoption of online teaching…
Descriptors: COVID-19, Pandemics, College Faculty, Teacher Attitudes
Acun, Ismail – Education, 2013
The aim of the study is to investigate the possible effect of web-supported teaching on students' attitudes on Human Rights, Democracy and Citizenship Education and technology (HRDCE). To examine weather web-supported instruction would make a difference in attitude levels of the subjects, a quasi-experimental design was employed. Subjects of the…
Descriptors: Foreign Countries, Web Based Instruction, Student Attitudes, Civil Rights
Ercan, Orhan; Bilen, Kadir – European Journal of Educational Research, 2014
Advances in computer technologies and adoption of related methods and techniques in education have developed parallel to each other. This study focuses on the need to utilize more than one teaching method and technique in education rather than focusing on a single teaching method. By using the pre-test post-test and control group semi-experimental…
Descriptors: Foreign Countries, Web Based Instruction, Teaching Methods, Academic Achievement
Sansone, Carol; Fraughton, Tamra; Zachary, Joseph L.; Butner, Jonathan; Heiner, Cecily – Educational Technology Research and Development, 2011
Successful online students must learn and maintain motivation to learn. The Self-regulation of Motivation (SRM) model (Sansone and Thoman 2005) suggests two kinds of motivation are essential: Goals-defined (i.e., value and expectancy of learning), and experience-defined (i.e., whether interesting). The Regulating Motivation and Performance Online…
Descriptors: Electronic Learning, Student Motivation, Online Courses, Learning Motivation
Sun, Jerry Chih-Yuan; Rueda, Robert – British Journal of Educational Technology, 2012
This study investigates possible relationships among motivational and learning variables (interest, self-efficacy and self-regulation) and three types of student engagement (behavioural engagement, emotional engagement and cognitive engagement) in a distance education setting. Participants were 203 students enrolled in online classes in the fall…
Descriptors: Learner Engagement, Electronic Learning, Self Efficacy, Gerontology
Galy, Edith; Downey, Clara; Johnson, Jennie – Journal of Information Technology Education, 2011
Creating an integrative research framework that extends a model frequently used in the Information Systems field, the Technology Acceptance Model, together with variables used in the Education field, this empirical study investigates the factors influencing student performance as reflected by their final course grade. The Technology Acceptance…
Descriptors: Electronic Learning, Self Efficacy, Academic Achievement, Online Courses
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
Gibson, Shanan G.; Harris, Michael L.; Colaric, Susan M. – Journal of Education for Business, 2008
The authors surveyed faculty from a college of business and a college of education regarding their attitudes toward online education. Results of the survey were examined to determine the degree to which the technology acceptance model was able to adequately explain faculty acceptance of online education. Results indicate that perceived usefulness…
Descriptors: Educational Technology, Internet, Teacher Attitudes, Computer Attitudes
Sivo, Stephen A.; Pan, Cheng-Chang; Hahs-Vaughn, Debbie L. – British Journal of Educational Technology, 2007
Factors affecting the student use of a course management system in a web-enhanced course are investigated using the technology acceptance model. Represented in the present study is the second phase of the analysis, with a focus on the causal relationship of subjective norms to student attitudes towards WebCT and their effect on three dependent…
Descriptors: Student Attitudes, Online Courses, Structural Equation Models, Web Based Instruction
Spence, Dianna J.; Usher, Ellen L. – Journal of Educational Computing Research, 2007
This research applied Bandura's (1986) social cognitive theory to examine engagement with courseware in traditional and online remedial mathematics learning environments. The study investigated the relationship of courseware engagement to age, computer self-efficacy, computer playfulness, and self-efficacy for self-regulated mathematics learning.…
Descriptors: Mathematics Education, Self Efficacy, Mathematics Achievement, Courseware
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

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