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Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
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Rockinson-Szapkiw, Amanda J. – Research in Learning Technology, 2012
The intent of this study was to investigate 93 doctoral candidates' perceptions and use of an online collaboration workspace and content management server, Microsoft Office SharePoint, for dissertation process. All candidates were enrolled in an Ed.D. programme in the United States. Descriptive statistics demonstrate that candidates frequently use…
Descriptors: Computer Uses in Education, Computer Software, Internet, Computer Mediated Communication
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van den Beemt, A.; Akkerman, S.; Simons, P. R. J. – Journal of Computer Assisted Learning, 2011
The intensive use of interactive media has led to assertions about the effect of these media on youth. Rather than following the assumption of a distinct Net generation, this study investigates diversity in interactive media use among youth. Results from a pilot study show that contemporary youth can be divided into clusters based on the use of…
Descriptors: Foreign Countries, Opinions, Factor Analysis, Internet
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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