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Kaya, Suat – Research in Pedagogy, 2021
This research was conducted in an attempt to examine online learning satisfaction (OLS) level of the pre-service teachers and the influence of antecedents including computer anxiety (CA), internet anxiety (IA), online course anxiety (OCA), internet self-efficacy (ISE) and transactions including learner-instructor interaction (LII), learner-content…
Descriptors: Predictor Variables, Electronic Learning, Student Satisfaction, Preservice Teachers
Barrett, Beverly Pyle – ProQuest LLC, 2018
The study was designed to examine the relationship among computer anxiety, computer self-efficacy, computer experience, performance, and engagement. Previous research has demonstrated that these topics are related; however, few studies have included all of these variables. Specifically, this study was designed to answer the following research…
Descriptors: Experience, Anxiety, Computer Attitudes, Self Efficacy
Golden, Sarah Heather – ProQuest LLC, 2017
Owing to advancements in technology, online counseling has become a viable option for counselors to provide counseling services to diverse populations. Despite the expansion of resources, a gap in research exists pertaining to a school counselor's intention to use online counseling. Furthermore, online counseling is an underused tool owing to a…
Descriptors: School Counselors, Online Courses, School Counseling, Statistical Analysis
Kang, Minseok; Shin, Won sug – Journal of Educational Computing Research, 2015
This study proposes an extended technology acceptance model to predict acceptance of synchronous e-learning by examining relationships among variables associated with factors influencing the technology acceptance of synchronous e-learning. Learners at an online university participated through an online survey; there were 251 respondents in all.…
Descriptors: Foreign Countries, Graduate Students, Student Attitudes, Adoption (Ideas)
Gunay, Nihal – ProQuest LLC, 2013
The student demand for online learning is forcing college administrators to identify faculty who have expertise in their discipline, technological skills sufficient to navigate the demands of online teaching, and willingness to be involved in online teaching. Before this work had been started, the review of literature indicated that research had…
Descriptors: Online Courses, College Faculty, Technical Education, Teacher Attitudes
Baratta, Donna Geidel – ProQuest LLC, 2012
This quasi-experimental study examined the effects of online professional development in technology with Virtual Communities of Practice (VCoP) on teachers' attitudes and content integration. This research study took place completely online. Over a period of nine months three cohorts of educators from diverse backgrounds and geographical locations…
Descriptors: Quasiexperimental Design, Faculty Development, Online Courses, Communities of Practice
Yoo, Sun Joo; Huang, Wenhao David – Journal of Continuing Higher Education, 2013
As the number of online degree programs continues to grow among higher education institutions in the United States, engaging online adult learners to online degree programs is getting more difficult than before. Therefore, this study, situated in a land grant university, investigated the motivational factors that contribute to adult learners'…
Descriptors: Higher Education, Colleges, Learner Engagement, Adult Students
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
Sahin, Ismail; Shelley, Mack – Educational Technology & Society, 2008
In the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, &…
Descriptors: Undergraduate Students, Student Attitudes, Distance Education, Online Courses
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
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