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Berman, Ronald; Hassell, Deliesha – Journal of Educators Online, 2014
The Doctoral Community Network (DC) is a learner driven, scholarly community designed to help online doctoral learners successfully complete their dissertation and program of study. While digital natives grew up in an environment immersed in technology, digital immigrants adapted to this environment through their ability to learn and adjust to…
Descriptors: Doctoral Programs, Graduate Students, Electronic Learning, Higher Education
Elmas, Muzaffer – Turkish Online Journal of Educational Technology - TOJET, 2013
Using technology in and out of class has been becoming more and more important recently. University settings also become more dependent to technology. Bologna process requires university and faculty diffuse and
disseminate information quickly. In this research it is aimed to examine faculty use of information technology in bologna process in the…
Descriptors: International Cooperation, Student Mobility, Higher Education, Foreign Countries
Schatzel, Kim; Callahan, Thomas; Davis, Timothy – Journal of College Student Retention: Research, Theory & Practice, 2013
Results from the analyses of data from 463 former college students between the ages of 25 and 34 years old identify those most likely to reenroll in higher education in the near future. Those who intend to reenroll are more likely to be members of minority groups, younger, single, and recently laid-off, have earned more credits, and hold strong…
Descriptors: Dropouts, Stopouts, Enrollment, Withdrawal (Education)
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

Mertens, Donna M.; Wang, Zhuli – American Annals of the Deaf, 1988
Forty-three preservice teachers in programs for hearing-impaired students were studied to determine the effects of age, sex, and computer experience on their attitudes toward computers. Measurements of computer anxiety, confidence, and liking indicated that computer experience corresponded with positive computer attitudes; age and sex had no…
Descriptors: Age Differences, Computer Assisted Instruction, Computer Literacy, Computer Uses in Education

Loyd, Brenda H.; Gressard, Clarice – AEDS Journal, 1984
This study examined computer anxiety, computer confidence, and computer liking among high school and college students, and explored effects of computer experience, age, and sex on their attitudes. Computer experience was significantly related to positive attitudes; no clear age trend was demonstrated; and sex was not significantly related to…
Descriptors: Age Differences, Analysis of Variance, Computer Literacy, Computers

Mackowiak, Kate – Journal of Educational Technology Systems, 1989
Describes study that investigated the impact of individual differences on deaf college students' attitudes toward computers at Gallaudet University. The impact of age, gender, computer experience, and major are examined, and results indicate a strong correlation between computer experience level and attitudes. (22 references) (Author/LRW)
Descriptors: Age Differences, Analysis of Variance, Computer Literacy, Correlation

Grandgenett, Neal; And Others – Journal of Educational Multimedia and Hypermedia, 1992
Describes a study of preservice teachers that examined the statistical relationships of computer anxiety, computer literacy, equipment familiarity, age, learning style, gender, and teaching area to a teacher's anticipated use of multimedia. Implications for the instructional design of multimedia technology training for preservice teachers are…
Descriptors: Age Differences, Cognitive Style, Computer Literacy, Educational Technology
Wisan, Gail; Roy, Pallabi Guha; Pscherer, Charles P., Jr. – 2001
A large virtual university, a participant in a major distance study, is tracking students' enrollment in online or both online and face-to-face classes (i.e., mixed). Although an online students' profile provides data for examining the digital divide, one-time snapshots are inadequate. Time must be included as a dimension of any analysis of…
Descriptors: Age Differences, College Students, Computer Literacy, Course Selection (Students)

Honeyman, David S.; White, Warren J. – Journal of Research on Computing in Education, 1987
Presents results of a study designed to measure the extent to which factors including age, sex, and previous experience with computers influenced the levels of anxiety experienced by teachers and school administrators learning to use computers. Results indicate that beginning adults require adequate time working with computers to lower anxiety…
Descriptors: Administrators, Adult Learning, Age Differences, Computer Anxiety

Hong, Kian-Sam – Internet and Higher Education, 2002
Discusses the results of a study conducted at the Universiti Malaysia Sarawak that investigated the effects of student characteristics and instructional variables on satisfaction and achievement in a Web-based course. Considers gender, age, scholastic aptitude, learning styles, initial computer skills, time spent on the course, perceptions of…
Descriptors: Academic Achievement, Age Differences, Class Activities, Cognitive Style

Feldman, Cecile A. – Journal of Dental Education, 1992
A survey of 180 dental students in 3 classes assessed student knowledge of computer-related topics and perceptions of the usefulness of computers in different areas of practice management. Computer ownership and use, computer-related courses taken, software types used, and student characteristics (age, sex, academic achievement, undergraduate…
Descriptors: Age Differences, Behavior Patterns, Computer Literacy, Computers

Woodrow, Janice E. J. – Computers and Education, 1991
Describes a study of student teachers that examined determinants of achievement in a computer literacy course. Correlations with measures of computer attitudes, perceived locus of control, gender, age, and prior word processing and computer experience are discussed, and the computer literacy model on which the analysis of data was based is…
Descriptors: Academic Achievement, Age Differences, Computer Literacy, Correlation

Griswold, Philip A. – AEDS Journal, 1985
This study evaluated the degree to which college major (education or business) and student individual differences (sex, age, mathematics ability, and locus of control) are related to attitudes about computers. Results indicate education majors have less favorable attitudes about computers than business majors even with individual differences taken…
Descriptors: Age Differences, Business Administration Education, Comparative Analysis, Computer Literacy

Legg, Sue M.; Buhr, Dianne C. – Educational Measurement: Issues and Practice, 1992
Three computerized adaptive tests (CATs) in mathematics, reading, and writing were administered to 628 community college students to determine whether examinees of different ethnic, gender, ability, and age groups, and computer experience were differentially affected. Some differences exist; however, they do not preclude use of CATs. (SLD)
Descriptors: Ability, Adaptive Testing, Age Differences, College Students
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