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Froehlich, Laura; Sassenberg, Kai; Jonkmann, Kathrin; Scheiter, Katharina; Stürmer, Stefan – Journal of Computer Assisted Learning, 2023
Background: The use of e-exams in higher education is increasing. However, the role of student diversity in the acceptance of e-exams is an under-researched topic. In the current study, we considered student diversity in terms of three sociodemographic characteristics (age, gender, and second language) and three dispositional student…
Descriptors: Student Diversity, Student Attitudes, Computer Assisted Testing, Student Characteristics
Vandenbroeck, M.; Verschelden, G.; Boonaert, T. – Journal of Computer Assisted Learning, 2008
The literature seems to suggest that women may be at risk from being excluded from adult education programmes, which use e-learning, especially when they have low economic status. Based on a survey of 551 women, family day care providers, we conclude that there is a persistent divide in PC access and use, as well as in perceived PC skills…
Descriptors: Economic Status, Females, Computer Assisted Instruction, Motivation
Palaigeorgiou, G. E.; Siozos, P. D.; Konstantakis, N. I.; Tsoukalas, I. A. – Journal of Computer Assisted Learning, 2005
The successful integration of computers in educational environments depends, to a great extent, on students' attitudes towards them. Widely used computer attitude scales (CASs) focus on the beliefs of typical computer users and do not reveal the more refined attitudes of groups that use computers extensively and develop unique relations with them.…
Descriptors: Computer Uses in Education, Computer Science, Classroom Techniques, Computer Attitudes