Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…

Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…

This study analyzed students' online assignment submission behaviors from the perspectives of temporal learning analytics. This study aimed to model the time-dependent changes in the assignment submission behavior of university students by employing various machine learning methods. Precisely, clustering, Markov Chains, and association rule mining…

The two main trends in the development of higher education worldwide are universal access and digital transformation. These trends are bringing about an increase in class sizes and the growth of online higher education. Previous studies indicated that both the large-class setting and online delivery threaten the quality, and the exploration of…

The goal of this study was to investigate cognitive style (the visualizer-verbalizer dimension) and cognitive ability (spatial and verbal abilities) in terms of corresponding resource use behavior. The study further examined the potential link between cognitive style and cognitive ability based on observable behavior. A total of 67 university…

An important question regards how we use environmental boundaries to anchor spatial representations during navigation. Behavioral and neurophysiological models appear to provide conflicting predictions, and this question has been difficult to answer because of technical challenges with testing navigation in novel, large-scale, realistic spatial…

Alcohol consumption and related negative consequences continues to be a systemic societal problem. College students are a population that has been identified as particularly high risk for a number of negative consequences as they are more likely to engage in binge drinking and heavy episodic drinking even when compared to same age non-college…

An integrative framework for investigating self-regulated learning situated in students' favorite and least favorite courses was empirically tested in a sample of 178 high school and 280 college students. Building on cognitive, clinical, social, and educational conceptions of self-regulation, the current paper integrated affective (e.g.,…

Some people ascribe successful language learning to an innate aptitude that cannot be further developed, at least after a certain young age (i.e., an entity mindset), while other people believe that language learning ability can be improved (i.e., an incremental mindset). The purpose of this research is to (a) introduce the Language Mindsets…

Limited research has examined the mediational role of coping strategy in students' motivation and procrastination. In this study, we examined the relationships among self-efficacy, achievement goals, boredom coping strategies and procrastination with 506 Chinese college students. Data were collected via questionnaires. Structural equation…

Orchestration load is the effort a teacher spends in coordinating multiple activities and learning processes. It has been proposed as a construct to evaluate the usability of learning technologies at the classroom level, in the same way that cognitive load is used as a measure of usability at the individual level. However, so far this notion has…

Objectives: Although numerous studies have documented linkages between childhood sexual abuse (CSA) and later sexual revictimization, mechanisms underlying revictimization, particularly assaults occurring in the context of substance use, are not well-understood. Consistent with Traumagenic Dynamics theory, the present study tested a path model…

Social scientists often rely on economic experiments such as ultimatum and dictator games to understand human cooperation. Systematic deviations from economic predictions have inspired broader conceptions of self-interest that incorporate concerns for fairness. Yet no framework can describe all of the major results. We take a different approach by…

We predict effects of behavior patterns and status on performance expectations and group inequality using an integrated theory developed by Fisek, Berger and Norman (1991). We next test those predictions using new experimental techniques we developed to control behavior patterns as independent variables. In a 10-condition experiment, predictions…

In order to discover the effects of success and failure on subsequent aggressiveness, 26 male and 55 female college students were randomly assigned to success, failure, and neutral conditions. Those in the success condition were led to feel they were superior to other college students on a task, those in the failure condition were led to feel they…