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…

The aim of this research was to investigate whether particular socio-demographic characteristics of pupils in lower secondary education, their level of computer selfefficacy and motivation for using digital media in class are considered significant predictors of constructivist learning. Furthermore, the aim was to investigate the characteristics…

As the majority of educational research has focused on preservice teachers' computer use for "educational purposes," the question remains: Do preservice teachers use computer technology for daily life activities and encounters? And do preservice teachers' personality traits and motivational beliefs related to computer training provided…

In this study, the National Educational Longitudinal Study (ELS:2002) dataset was used and a predictive data mining technique, decision tree analysis, was implemented in order to examine which factors, in conjunction to computer use, can be used to predict high or low probability of success in high school mathematics. Specifically, this study…

Electronic books are a fast-growing component of the publishing industry. Sales of electronic textbooks (e-textbooks) are growing, but at a slower rate. In this research we use data from an undergraduate student survey to estimate the determinants of e-textbook use. We find that students who are younger, lower-income, and from larger high schools…

Audience response systems (ARS) are effective tools for improving learning outcomes and student engagement in large undergraduate classes. However, if students do not accept ARS and do not find them to be useful, ARS may be less effective. Predicting and improving student perceptions of ARS may help to ensure positive outcomes. The present study…

Social network sites such as Facebook are often conceived of as purely social spaces; however, as these sites have evolved, so have the ways in which students are using them. In this study, we examine how undergraduate students use the social network site Facebook to engage in classroom-related collaborative activities (e.g., arranging study…

Many postgraduate students cannot cope with the demands of higher education. In South Africa one in every six students never graduates. Poor preparation for higher education includes students' meager computer and information literacy skills. While computer literacy refers to understanding the use of computers, McMillan (1996) promotes the term…

Mobile technologies have enabled a new way of communicating, for whom mobile communications are part of normal daily interaction. This paper explores the proposed and verified Technology Acceptance Model (TAM) that can be employed to explain the acceptance of Mobile Learning (M-learning), an activity in which users access learning material with…

Effective assessment of teaching and learning with technology requires a capacity to map learning outcomes. Student attitudes of the use of IT are measured in a structural equation model derived from an instrument based on the principles of undergraduate practice of Chickering and Ehrmann (1996). Institutional and background data are included. By…

Discriminant analysis was used to determine whether classifications could be made between students enrolled in e-learning and in face-to-face university courses (N = 353) based on their scores from separate instruments measuring sense of community and motivation. Study results provide evidence that the predictors were able to distinguish between…

Distance Education has globally become one of the important solutions for increasing admission into the universities, decongesting campuses and efficient utilization of time and space. To ensure the sustainability of the programmes' noble objectives calls for periodic re-evaluation of its modus operandi including the assessment of the perception…

This correlation study examines the relationship between participation in online embedded professional development communities and student achievement gains in a College Algebra course taught by high school teachers to high school students for college credit. The participating teachers met weekly through a web-based meeting format using…

This study analyzed predictors of fall-to-spring and fall-to-fall retention for 9,200 first-time-in-college students who enrolled in a community college over a four-year period. Findings highlight the impact of developmental education programs and internet-based courses on student persistence. Additional predictors include financial aid, parents'…

The current study employed a secondary statistical analysis on the 2007 National Study on Nontraditional Students Survey data to investigate whether personal characteristics, student perceived stressors, and social support could predict academic performance of nontraditional students enrolled in three different learning environments in terms of…