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Alan Peslak; Lisa Kovalchick; Wenli Wang; Paul Kovacs – Information Systems Education Journal, 2023
Are students who prefer online education different from those who prefer on-ground education, and how? This is an important question because educational institutions need to better understand student segmentations. This research examined 251 survey responses from students enrolled in Computer Information Systems courses at three universities over…
Descriptors: Higher Education, Information Systems, Courses, Electronic Learning
Yildiz, Osman; Bal, Abdullah; Gulsecen, Sevinc – EURASIA Journal of Mathematics, Science & Technology Education, 2015
The demand for distance education has been increasing at a rapid pace all around the world. This, in turn, places a special importance on the need for the development of more distance education systems. However, there is an alarming rise in the number of distance education students that drop out of the system without asking for any help. The…
Descriptors: Distance Education, Academic Achievement, Computation, Models
Lin, Lijia; Atkinson, Robert K. – Journal of Educational Computing Research, 2013
The purpose of the two experiments was to investigate the potential effects of different types of visualizations and self-explanation prompts on learning human cardiovascular system in a multimedia environment. In Experiments 1 and 2, 70 and 44 college students were randomly assigned to one of the four conditions in a 2 × 2 factorial design with…
Descriptors: Educational Experiments, Visualization, Prompting, Human Body
Norum, Pamela S.; Weagley, Robert O. – Journal of Educational Technology Systems, 2007
The Internet has experienced phenomenal growth in higher education. In addition to many pedagogical benefits, there are potential risks to the student users, including identity theft. This study examined the extent to which selected online practices that could minimize the risk of financial identity theft are used by college students. Data were…
Descriptors: College Students, Risk, Multivariate Analysis, Internet
Moneta, Giovanni B.; Kekkonen-Moneta, Synnove S. – Educational Psychology, 2007
This study evaluated students' affective learning in an introductory computing course that was taught in Hong Kong once in a lecture format and twice in a rich interactive multimedia online format to 414 college students in all. A simplified experience sampling method was used to assess affective learning at the midterm and end of each course in…
Descriptors: Foreign Countries, Computer Literacy, Academic Ability, Self Efficacy
Saparniene, Diana; Merkys, Gediminas; Saparnis, Gintaras – Online Submission, 2005
Purpose: The purpose of this article is to identify and define the existing students' statistical types by their attitudes towards a computer (emotional-motivational relationship with a computer) and to disclose the connection with factual computer literacy using multidimensional statistical methods. Methodology: The empirical-experimental part of…
Descriptors: Student Attitudes, Negative Attitudes, Data Analysis, Multivariate Analysis