This paper introduces a novel approach to identify at-risk students with a focus on output interpretability through analyzing learning activities at a finer granularity on a weekly basis. Specifically, this approach converts the predicted output from the former weeks into meaningful probabilities to infer the predictions in the current week for…

Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…

The objective of this study is to construct a model which explains and predicts the relations of university students' cyberloafing behaviors with demographic and academic variables at computing courses where online social networking sites are utilized for education and is to review whether there is longitudinal effect on these relations in terms…

The present study aims to reveal the impact of students' critical thinking and logico-mathematical intelligence levels of students on their algorithm design skills. This research was a descriptive study and carried out by survey methods. The sample consisted of 45 first-year educational faculty undergraduate students. The data was collected by…

This study identified five effective self-regulated learning (SRL), investigated the correlation of demographic information and SRL, and measured significant predictor of prior experiences on SRL. Eighty-eight Thai learners participated in the SRL survey, which was adapted from the MSLQ. The findings indicated that Intrinsic Goal and Self-Efficacy…

Social network sites (SNSs) like Myspace and Facebook are now popular online communities with large teenage user populations. Teens use these technologies to interact, play, explore, and learn in significant ways. As scholars become interested in studying these new online communities, I contribute to the emerging conversation by re-examining…

Sixty-seven undergraduates taking either a Blended Business Course (BBC) or an Online Education Course (OEC) were surveyed about factors influencing their "listening" behaviors in asynchronous online course discussions. These are the ways they attend to the posts made by others: which posts they open, how they engage with open posts, and…

We investigated variables that affect learning and satisfaction in Web-based and lecture versions of introductory psychology courses. Student characteristics, including year in college, college major, and personality characteristics, predicted performance equally well in Web-based and lecture courses. Differences among instructors predicted…

Describes a study that examined various characteristics of undergraduate students enrolled in a computer skills course. Variables considered include gender, college major, high school computer courses, other prior computer experience, computer self-efficacy, computer attitude, computer anxiety, and cognitive style. (Author/LRW)