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Maderick, Joseph A.; Zhang, Shaoan; Hartley, Kendall; Marchand, Gwen – Journal of Educational Computing Research, 2016
This study compares matched surveys of subjective self-assessment and objective assessment on seven domains of digital competence for preservice teachers at a large Southwest public university. The results, consistent with earlier studies, confirm that the participating preservice teachers inaccurately self-assessed their digital competence. The…
Descriptors: Preservice Teachers, Competence, Technological Literacy, Computer Literacy
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Tarhini, Ali; Hone, Kate; Liu, Xiaohui – Journal of Educational Computing Research, 2014
The success of an e-learning intervention depends to a considerable extent on student acceptance and use of the technology. Therefore, it has become imperative for practitioners and policymakers to understand the factors affecting the user acceptance of e-learning systems in order to enhance the students' learning experience. Based on an extended…
Descriptors: Foreign Countries, Gender Differences, Age Differences, Electronic Learning
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Koh, Joyce H. L.; Frick, Theodore W. – Journal of Educational Computing Research, 2009
Technology skills instruction is an important component of educational technology courses, which has been shown to raise pre-service teachers' computer self-efficacy. Computer self-efficacy, in turn, is positively related to their self-efficacy for technology integration. Studies of undergraduate technology skills instruction found that classroom…
Descriptors: Preservice Teacher Education, Preservice Teachers, Self Efficacy, Teacher Educators
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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