The aim of this study, therefore, is to show quantitative differences in the causal relationship between learner characteristics and learning behavior across student levels (bachelors vs. masters) and the three survey years. Students were enrolled in two-unit bachelor or master...
Furthermore, significant age differences were found in the level of the work characteristics and learning-related behavior, as well as in the cross-lagged relationships among the variables. Compared to earlier—predominantly cross-sectional—results, the present study underlines the importance of taking...
The assumption is that people with high openness to experience have an innate need for seeking, acquiring and storing new information. The role of social context is central to SDT. The social context (autonomous vs. controlled) in which people operate affects not only their behavior and ...
Comparison of students with learning and behavioral problems; Description of the questionnaires used in this study; How the motivation characteristics of the students were measured; Results of the study.关键词: Adolescents Alienation Behavior Disorders Emotional Disturbances Learning Disabilities Performance ...
It takes the current literature forward by a) considering informal learning in addition to formal learning and b) providing a link between learners’ individual characteristics (i.e. learning style) and other measures of m-learning adoption. A model of m-learning adoption is proposed and ...
Attributing Model Behavior at Scale (ATTRIB) Backdoors in Deep Learning: The Good, the Bad, and the Ugly Computational Sustainability: Promises and Pitfalls from Theory to Deployment I Can’t Believe It’s Not Better (ICBINB): Failure Modes in the Age of Foundation Models Socially Responsible La...
In contrast to traditional inferential approaches, machine learning approaches are predominantly concerned with predictive performance (i.e., the ability to accurately forecast behavior that has not yet occurred)54. In the context of student retention this means: How accurately can we predict whether ...
Reinforcement learning is a fundamental mechanism displayed by many species. However, adaptive behaviour depends not only on learning about actions and outcomes that affect ourselves, but also those that affect others. Using computational reinforcement learning models, we tested whether young (age 18–36...
Its main concern is to unobtrusively and ubiquitously learn from a learner's previous learning experience about characteristics for enhancing the user model, in order to adapt the services to their personal needs. An investigation for understanding learning behavior patterns forms the basis for ...
Moreover, trait EI serves as a reliable predictor of positive mental health, reduced cortisol levels during stress, and effective coping with challenging situations. Additionally, it promotes prosocial behavior in schoolchildren and enhances academic performance, highlighting its relevance in education and...