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Kisanga, D. H.; Ireson, G. – International Journal of Education and Development using Information and Communication Technology, 2016
The Tanzanian education system is in transition from face-to-face classroom learning to e-learning. E-learning is a new learning approach in Tanzanian Higher Learning Institutions [HLIs] and with teachers being the key stakeholders of all formal education, investigating their attitude towards e-learning is essential. So far, however, there has…
Descriptors: Foreign Countries, Electronic Learning, Attitude Measures, Likert Scales
Elango, Rengasamy; Gudep, Vijaya Kumar; Selvam, M. – Electronic Journal of e-Learning, 2008
e-Learning, of late, has been witnessing an unprecedented expansion as an opportunity for higher education. This expanding alternative mode calls for ensuring and imparting a sound and qualitative education. The present study made an attempt to investigate the issues related to the quality dimensions of e-learning. Our results revealed the…
Descriptors: Educational Quality, Electronic Learning, Student Attitudes, College Students
Zullo, Thomas G. – 1973
This study was undertaken to determine the degree of factorial invariance that exists in a battery of predictor variables commonly used in the selection of applicants for dental school. The following variables were used in the analyses performed: 13 subscores from the Dental Aptitude Test Battery, Overall QPA, Required Courses QPA, years of…
Descriptors: Aptitude Tests, Componential Analysis, Dental Schools, Factor Analysis
Sherman, Charles R. – 1978
An exploratory factor analysis is used in the study of institutional preferences in medical student admissions. Sources and mathematical derivations of 58 institutional variables are presented. Most of the measures describe attributes related to the admission process. The remainder were selected to represent other dimensions along which medical…
Descriptors: Admission Criteria, College Choice, Componential Analysis, Factor Analysis