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Henson, Amy R. – Research in Higher Education Journal, 2014
The purpose of this research was to determine the extent that computer-related factors affect the success of nontraditional college students. Since nontraditional students typically have fewer skills than traditionally-aged students, they may be less efficacious regarding their ability to use technology. Unfortunately, such reduced confidence may…
Descriptors: Nontraditional Students, College Students, Information Technology, Computer Uses in Education
Campion, Raul Santiago; Nalda, Fermin Navaridas; Rivilla, Antonio Medina – European Journal of Open, Distance and E-Learning, 2012
The aim of this study is for the teachers in higher education to provide relative information about the use of the web 2.0 resources within its context and within the framework of the university staff training program. In this context, we have developed a tool in order to study 400 teachers attitude, use and perceived usefulness of web 2.0…
Descriptors: Foreign Countries, Distance Education, Faculty Development, Behavior Theories
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Iding, Marie; Nordbotten, Joan – Journal of Technology and Teacher Education, 2011
This study investigated criteria that 91 pre-service teachers used to evaluate award-winning virtual museum exhibits for future use in teaching. Individual differences affected ratings, including teaching experience, age and gender. A categorization of participants' reasons for selection included audience level, site design and information…
Descriptors: Museums, Age Differences, Gender Differences, Exhibits
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Finnegan, Catherine; Morris, Libby V.; Lee, Kangjoo – Journal of College Student Retention: Research, Theory & Practice, 2009
This research empirically examined student behavior in online courses and its relationship to persistence and achievement across fields. Eight variables descriptive of student behaviors online were measured for 1) frequency and 2) duration of participation. Twenty-two courses were grouped into three broad fields: English and Communication; Social…
Descriptors: Academic Persistence, Student Participation, Academic Achievement, Online Courses
Xiong, Hui – ProQuest LLC, 2009
The current study employed a secondary statistical analysis on the 2007 National Study on Nontraditional Students Survey data to investigate whether personal characteristics, student perceived stressors, and social support could predict academic performance of nontraditional students enrolled in three different learning environments in terms of…
Descriptors: Nontraditional Students, Employment Level, Grade Point Average, Distance Education
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Shaunessy, Elizabeth – Gifted Child Quarterly, 2007
This statewide study of teachers of intellectually gifted students examined teachers' attitudes toward information technology. Participants were 418 teachers of the intellectually gifted in a southeastern state who voluntarily responded to a survey about technology attitudes. Results indicated positive attitudes toward technology, with training in…
Descriptors: Academically Gifted, Computer Uses in Education, Information Technology, Computer Attitudes
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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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Yukselturk, Erman; Bulut, Safure – Educational Technology & Society, 2007
This study analyzed the factors that affect student success in an online computer programming course. The study had two with two main objectives. The first was to examine relationships among selected variables (gender, age, educational level, locus of control, and learning style), motivational beliefs (intrinsic goal orientation, extrinsic goal…
Descriptors: Locus of Control, Cognitive Style, Self Efficacy, Online Courses
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van Braak, Johan; Tondeur, Jo; Valcke, Martin – European Journal of Psychology of Education, 2004
In order to identify differences in determinants of supportive and class use of computers, path modelling was applied in a sample of 468 primary school teachers. Independent variables were categorised in three levels: demographics (age and gender), computer experience (computer training, computer experience expressed over time, intensity of…
Descriptors: Teacher Characteristics, Individual Differences, Age Differences, Gender Differences
Lau, Sim Kim; Ang, Yang – 1998
This paper reports on the results of a study investigating attitude toward computing for a large group (n=509) of students undertaking an introductory information systems course in an Australian university. Students were surveyed using a two-part questionnaire. The first section dealt with gender, previous computing experience, and level of…
Descriptors: Age Differences, Attitude Measures, College Students, Computer Attitudes