INTRODUCTION Many students, while performing clinical skills such as medical interviewing/ communication, physical examination, and procedural tasks, have never been observed by faculty members or residents. This study aimed to explore the relationships between final-year medical students' self-reported confidence and the frequency of direct observation by faculty member or resident while condu...

The existing procedural learning mechanism in ACT-R (Anderson & Lebiere, 1998) has been successful in explaining a wide range of adaptive choice behavior. However, the existing mechanism is inherently limited to learning from binary feedback (i.e. whether a reward is received or not). It is thus difficult to capture choice behavior that is sensitive to both the probabilities of receiving a rewa...

Visualizations in computer science topics are known to have several benefits such as promoting conceptual and procedural understanding, improving prediction and reasoning abilities and helping learners construct mental models. This learning effectiveness has been found to be a function of students‟ engagement level with visualization. In the current study, we did a controlled field experiment t...

This research is motivated by the ineffectiveness of implementation Family Hope Program Case Study Public Health in Cimaung Village, District, Bandung Regency. Based on these problems, it can be formulated as follows "How Big Effect Supervision Effectiveness (Case Community Regency)". Analysis problems using theory from William H. Newman form dimensions Preliminary (feedforward control), "concu...

A growing research community is working towards procedurally generating content for computer games and simulation applications with various player modeling techniques. In this paper, we present a two-step procedural content generation framework to minimize players’ frustration and/or boredom according to player feedback and gameplay features. In the first step, we dynamically categorize the pla...

This paper proposes an interaction model between multiple physically-based deformable objects. The model enables both accurate force feedback and visualization of surgical manipulations (like hold, push and move organs) while approaching the tissues of interest. Accurate force feedback improves surgical realism and enables exact simulation for diagnosis and procedural training. Interaction is r...

Students often use available help facilities in an unproductive fashion. To improve students’ help-seeking behavior we built the Help Tutor – a domain-independent agent that can be added as an adjunct to Cognitive Tutors. Rather than making help-seeking decisions for the students, the Help Tutor teaches better help-seeking skills by tracing students actions on a (meta)cognitive help-seeking mod...

The idea that cognition is controlled hierarchically is appealing to many but is difficult to demonstrate empirically. Often, nonhierarchical theories can account for the data as well as hierarchical ones do. The purpose of this chapter is to document the case for hierarchical control in skilled typing and present it as an example of a strategy for demonstrating hierarchical control in other co...

A growing research community is working towards procedurally generating content for computer games and simulation applications with various player modeling techniques. In this paper, we present a two-step procedural content generation framework to minimize players’ frustration and/or boredom according to player feedback and gameplay features. In the first step, we dynamically categorize the pla...

This work presents an evaluation of a novel augmented reality approach for the visualisation of real time guidance of an ablation tool to a tumor in open liver surgery. The approach uses a portable image overlay device, directly integrated into a liver surgical navigation system, to display guidance graphics along with underlying anatomical structures directly on the liver surface. The guidance...