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Hendy, Nhung T. – Journal of Academic Ethics, 2017
Extant research (e.g., Wilks et al. 2016; Williams et al. 2010) has shown personality to be a predictor of engagement in academic dishonesty. The current study seeks to determine whether the type of personality measure affects predictive efficacy by comparing single stimulus and forced-choice measures of personality using a sample of 278…
Descriptors: Personality Measures, Cheating, Predictor Variables, Comparative Analysis
Korhonen, Vesa; Rautopuro, Juhani – Scandinavian Journal of Educational Research, 2019
Finland offers a specific example of a country with a broad enrolment in higher education, where the educational starting age is relatively high and where studies may last considerably longer than in most other European countries. This study attempted to identify at-risk students in Finnish universities with the greatest probability of…
Descriptors: College Students, At Risk Students, Dropouts, Probability
Rocha, Magda – Higher Education: The International Journal of Higher Education and Educational Planning, 2015
The basis for this longitudinal study was to find the predictors of transferable skills acquisition and portability among university sophomore students. The method employed was the path analysis using as variables: (1) the theoretical framework of transferable skills representations (Evers and Rush in "Manag Learn" 27(4):275-300, 1996;…
Descriptors: Longitudinal Studies, Transfer of Training, College Students, Predictor Variables
Mathews, Pamela; Bhanugopan, Ramudu – Journal of Teaching in International Business, 2014
The aim of this study is to examine the determinants of effective web-based teaching and learning processes, using MEBIR (Management Education by Internet Readiness) Scale. Data were obtained from 407 students studying in a number of universities in China. The results demonstrate that the perceived quality of the web-based international management…
Descriptors: Student Attitudes, Foreign Countries, College Students, Web Based Instruction
Lee, Jieun – British Journal of Educational Technology, 2010
Blended learning, mixing online and face-to-face learning modes, has been increasingly adopted in training with the expectation that it will help solve transfer problems and will lend other educational benefits. While there is a set of knowledge about design for facilitating transfer, it has not been investigated in a blended environment context.…
Descriptors: Design Requirements, Qualitative Research, Focus Groups, Educational Benefits