STATEMENT Better debriefing practices may enhance the impact of simulation-based education. Emerging literature suggests that learner-centered debriefing may be effective in helping instructors identify and address learner needs while building learner's engagement and sense of responsibility for learning. This contrasts with instructor-centered approaches to debriefing, where instructors mainta...

When people learn that I study lethal injection, they are usually curious to know more (or at least they are polite enough to ask questions). Interestingly, the question that arises most often— from lawyers, law students, and laypeople—is why states behave as they do. In the wake of botched executions and ample evidence of lethal injection‘s dangers, why do states fail to address their executio...

A student, supported by his classmates, throws a piece of chalk at the teacher who is writing on the blackboard. The teacher rapidly turns back and promptly catches him in the act. The student blushes and suddenly realizes how bad it was what he did. What happened to the guy? Why did he decide to throw the piece of chalk? And why, after a few seconds, he would have liked that what he did had ne...

Background: Medical education has experienced a significant shift from traditional teaching styles to online, distance, or electronic learning, which applies technology support strategies and engage learners in the learning process more effectively. Objectives: This study aimed investigate educators’ trainees’ viewpoints on virtual for community health workers (CHWs) at Kermanshah University of...

The Reflective Tutorial Dialogue System (ReTuDiS) is a system for learner modelling historical text comprehension through reflective dialogue. The system infers learners’ cognitive profiles and constructs their learner models. Based on the learner model the system plans the appropriate --personalized for learners-reflective tutorial dialogue in order to promote their reflection, a fact which le...

Since resources for data acquisition are seldom infinite, both learners and classifiers must act intelligently under hard budgets. In this paper, we consider problems in which feature values are unknown to both the learner and classifier, but can be acquired at a cost. Our goal is a learner that spends its fixed learning budget bL acquiring training data, to produce the most accurate “active cl...

In continuous learning settings stochastic stable policies are often necessary to ensure that agents continuously adapt to dynamic environments. The choice of the decentralised learning system and the employed policy plays an important role in the optimisation task. For example, a policy that exhibits fluctuations may also introduce non-linear effects which other agents in the environment may n...

Nowadays, university students suffer from a broad range of problems, such as educational underachievement or the inability to control themselves, that lead to procrastination as a consequence. The present research aimed at analyzing the determinants of decisional procrastination among undergraduate students and at assessing a path model in which self regulated learning strategies mediated the r...

Asking questions is an integral part of learning. Asking questions can clarify concepts, test hypotheses, add missing information, or provide additional knowledge to facilitate learning. The last item motivates the work described in this paper. By asking questions, our system obtains information that serves as background knowledge for a base learner, enabling the base learner to make useful gen...