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…

Purpose: To achieve sustainable development to protect the environment and society, an increasing number of scholars have conducted in-depth research on sustainable and responsible consumption behaviors. The outputs demonstrate that consumers are increasingly concerned and aware of the issues associated with the excessive use of resources. 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…

It is shown that a particular class of pauses taken in both read and composed speech obey allometric laws such that mean pause length predicts body size. The pauses in this class have durations that roughly span 250 ms to 1,000 ms and are taken to mark grammatical and prosodic boundaries. A theory of pause allometry is developed based on the…

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…

Academic achievement of a student in college always has a far-reaching impact on his further development. With the rise of the ubiquitous sensing technology, students' digital footprints in campus can be collected to gain insights into their daily behaviours and predict their academic achievements. In this paper, we propose a framework named…

In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…

There are numerous studies showing processing advantages for collocations, but none of them so far takes into account the fact that the morphological form of a collocation varies to fit the context. Questions whether collocations retain their processing advantage when their morphological form changes and how or if different morphological forms 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…

With this study we sought to contribute to the literature on issues with undergraduate college men and alcohol consumption. Undergraduate men at 5 institutions across the Northeast (N = 1,457) were surveyed to examine the relationships among masculine norms, ethnic identity, social dominance orientation, and alcohol behavior. Data were analyzed…

Purpose: Massive open online courses (MOOCs) have received wide publicity and many institutions have invested considerable effort in developing, promoting and delivering such courses. However, there are still many unresolved questions relating to MOOCs and their effectiveness in a blended-learning context. One of the major recurring issues raised…

This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…

When morality is important and central to individuals' identities (moral identity), it may heighten their sense of responsibility to behave in moral ways. Although research has linked moral identity to various moral actions, research has yet to demonstrate the association between moral identity and individuals' consistent moral choices, despite…

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…