Biomedical students' satisfaction with and engagement in laboratory e-learning support are related to their self-regulation.

Laboratory e-learning support tools can assist students' learning while preparing for laboratory classes. To successfully work in such virtual experimental environments (VEEs) outside class, students require self-regulated learning (SRL) skills. A deeper understanding of the continuous reciprocal interactions between SRL, satisfaction, and online engagement is needed to develop more effective online learning experiences. This study therefore aimed to explore the interconnection between students' satisfaction with, effort/importance and engagement in an exemplary VEE, and to relate this to their perceived SRL and learning outcomes. Based on surveys in 79 university students, SRL was related to VEE engagement, effort/importance, and satisfaction. VEE engagement and satisfaction were not related to learning outcomes, while SRL and effort were. Students with different SRL also tended to interact differently with the VEE and experienced differing degrees of procedural and feedback support by the e-environment. We conclude that, for optimal learning experience and outcomes, students' effort regulation and SRL need to be supported while interacting with the VEE, preferably by interventions that integrate personalized and adaptive features. This study has implications for designing and optimizing VEEs and indicates that future research should focus on VEEs taking students' SRL and effort regulation into account to support individual learners effectively.

Perspective-Taking and Perspective-Sharing in Pediatric Education: Exploring Connections Between Strategies of Medical Students and Patients' Caregivers.

Introduction: In pediatric education, caregivers are increasingly involved to share their perspective. Yet, an in-depth understanding of the perspective-taking process between medical students and caregivers is lacking. This study explored: 1) Which strategies do medical students use to take a caregiver's perspective and which facilitators and constraints do they perceive? 2) Which strategies do caregivers use to share their perspective with students? and 3) How do students' perspective-taking strategies relate to caregivers' perspective-sharing strategies? Methods: In an online lesson: two caregivers of pediatric patients, shared their story with 27 fourth-year Dutch medical students. After the session, students undertook an assignment where they individually reflected on how they took perspective. Students' reflections were collected via audio recordings. Caregivers were individually interviewed. Data were analyzed through thematic and cross-case analysis. Results: Students used eight perspective-taking strategies, in various combinations. Students used inferential strategies, where they made inferences from available information, and cultivating strategies, where they attempted to elicit more information about the caregiver. Students perceived individual-, contextual- and caregiver-related facilitators and constraints for taking perspective. Caregivers shared their perspective by adopting multiple strategies to share their story and create a trusting learning environment. We visualized connections between students' perspective-taking strategies, facilitators/constraints, and caregivers' perspective-sharing strategies. Discussion: By combining data from both perspective-takers (students) and perspective-sharers (caregivers), this study provides a foundation for future research to study perspective-taking between students and patients in an educational context. On a practical level, our findings provide tools for students, patients, and educators to enhance perspective-taking processes.

Patients as Feedback Providers: Exploring Medical Students' Credibility Judgments.

Introduction: Patient feedback is becoming ever more important in medical education. Whether students engage with feedback is partly determined by how credible they think the feedback provider is. Despite its importance for feedback engagement, little is known about how medical students judge the credibility of patients. The purpose of this study was therefore to explore how medical students make credibility judgments regarding patients as feedback providers. Methods: This qualitative study builds upon McCroskey's conceptualization of credibility as a three-dimensional construct comprising: competence, trustworthiness, and goodwill. Since credibility judgments are shaped by the context, we studied students' credibility judgments in both a clinical and non-clinical context. Medical students were interviewed after receiving feedback from patients. Interviews were analyzed through template and causal network analysis. Results: Students based their credibility judgments of patients on multiple interacting arguments comprising all three dimensions of credibility. In estimating a patient's credibility, students reasoned about aspects of the patient's competence, trustworthiness, and goodwill. In both contexts students perceived elements of an educational alliance between themselves and patients, which could increase credibility. Yet, in the clinical context students reasoned that therapeutic goals of the relationship with patients might impede educational goals of the feedback interaction, which lowered credibility. Discussion: Students' credibility judgments of patients were a weighing of multiple sometimes conflicting factors, within the context of relationships and their associated goals. Future research should explore how goals and roles can be discussed between students and patients to set the stage for open feedback conversations.

Making knowledge clips with patients: What learning mechanisms are triggered in medical students?

OBJECTIVE: To prepare medical students for a rapidly changing healthcare landscape, where new means of communication emerge, innovative teaching methods are needed. We developed a project-based learning course in which medical students design audiovisual patient information in collaboration with patients and with students in Communication and Information Sciences (CIS). We studied what learning mechanisms are triggered in medical students by elements of a project-based-learning course. METHODS: In this qualitative study, twelve sixth year medical students that participated in the course were individually interviewed. Data were analyzed according to the principles of qualitative template analysis. RESULTS: We identified four learning mechanisms: Challenging assumptions about patients' information needs; Becoming aware of the origin of patients' information needs; Taking a patient's perspective; Analyzing language to adapt to patients' needs. These learning mechanisms were activated by making a knowledge clip, collaborating with patients, and collaborating with CIS students. CONCLUSION: Collaborating with patients helped students to recognize and understand patients' perspectives. Working on a tangible product in partnership with patients and CIS students, triggered students to apply their understanding in conveying information back to patients. PRACTICE IMPLICATION: Based on our findings we encourage educators to involve patients as collaborators in authentic assignments for students so they can apply what they learned from taking patients' perspectives.

How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology.

Eye tracking research has been conducted for decades to gain understanding of visual diagnosis such as in radiology. For educational purposes, it is important to identify visual search patterns that are related to high perceptual performance and to identify effective teaching strategies. This review of eye-tracking literature in the radiology domain aims to identify visual search patterns associated with high perceptual performance. Databases PubMed, EMBASE, ERIC, PsycINFO, Scopus and Web of Science were searched using 'visual perception' OR 'eye tracking' AND 'radiology' and synonyms. Two authors independently screened search results and included eye tracking studies concerning visual skills in radiology published between January 1, 1994 and July 31, 2015. Two authors independently assessed study quality with the Medical Education Research Study Quality Instrument, and extracted study data with respect to design, participant and task characteristics, and variables. A thematic analysis was conducted to extract and arrange study results, and a textual narrative synthesis was applied for data integration and interpretation. The search resulted in 22 relevant full-text articles. Thematic analysis resulted in six themes that informed the relation between visual search and level of expertise: (1) time on task, (2) eye movement characteristics of experts, (3) differences in visual attention, (4) visual search patterns, (5) search patterns in cross sectional stack imaging, and (6) teaching visual search strategies. Expert search was found to be characterized by a global-focal search pattern, which represents an initial global impression, followed by a detailed, focal search-to-find mode. Specific task-related search patterns, like drilling through CT scans and systematic search in chest X-rays, were found to be related to high expert levels. One study investigated teaching of visual search strategies, and did not find a significant effect on perceptual performance. Eye tracking literature in radiology indicates several search patterns are related to high levels of expertise, but teaching novices to search as an expert may not be effective. Experimental research is needed to find out which search strategies can improve image perception in learners.

The don't know option in progress testing.

Formula scoring (FS) is the use of a don't know option (DKO) with subtraction of points for wrong answers. Its effect on construct validity and reliability of progress test scores, is subject of discussion. Choosing a DKO may not only be affected by knowledge level, but also by risk taking tendency, and may thus introduce construct-irrelevant variance into the knowledge measurement. On the other hand, FS may result in more reliable test scores. To evaluate the impact of FS on construct validity and reliability of progress test scores, a progress test for radiology residents was divided into two tests of 100 parallel items (A and B). Each test had a FS and a number-right (NR) version, A-FS, B-FS, A-NR, and B-NR. Participants (337) were randomly divided into two groups. One group took test A-FS followed by B-NR, and the second group test B-FS followed by A-NR. Evidence for impaired construct validity was sought in a hierarchical regression analysis by investigating how much of the participants' FS-score variance was explained by the DKO-score, compared to the contribution of the knowledge level (NR-score), while controlling for Group, Gender, and Training length. Cronbach's alpha was used to estimate NR and FS-score reliability per year group. NR score was found to explain 27 % of the variance of FS [F(1,332) = 219.2, p < 0.0005], DKO-score, and the interaction of DKO and Gender were found to explain 8 % [F(2,330) = 41.5, p < 0.0005], and the interaction of DKO and NR 1.6 % [F(1,329) = 16.6, p < 0.0005], supporting our hypothesis that FS introduces construct-irrelevant variance into the knowledge measurement. However, NR-scores showed considerably lower reliabilities than FS-scores (mean year-test group Cronbach's alphas were 0.62 and 0.74, respectively). Decisions about FS with progress tests should be a careful trade-off between systematic and random measurement error.

Interpretation of radiological images: towards a framework of knowledge and skills.

The knowledge and skills that are required for radiological image interpretation are not well documented, even though medical imaging is gaining importance. This study aims to develop a comprehensive framework of knowledge and skills, required for two-dimensional and multiplanar image interpretation in radiology. A mixed-method study approach was applied. First, a literature search was performed to identify knowledge and skills that are important for image interpretation. Three databases, PubMed, PsycINFO and Embase, were searched for studies using synonyms of image interpretation skills or visual expertise combined with synonyms of radiology. Empirical or review studies concerning knowledge and skills for medical image interpretation were included and relevant knowledge and skill items were extracted. Second, a preliminary framework was built and discussed with nine selective experts in individual semi-structured interviews. The expert team consisted of four radiologists, one radiology resident, two education scientists, one cognitive psychologist and one neuropsychologist. The framework was optimised based on the experts comments. Finally, the framework was applied to empirical data, derived from verbal protocols of ten clerks interpreting two-dimensional and multiplanar radiological images. In consensus meetings adjustments were made to resolve discrepancies of the framework with the verbal protocol data. We designed a framework with three main components of image interpretation: perception, analysis and synthesis. The literature study provided four knowledge and twelve skill items. As a result of the expert interviews, one skill item was added and formulations of existing items were adjusted. The think-aloud experiment showed that all knowledge items and three of the skill items were applied within all three main components of the image interpretation process. The remaining framework items were apparent only within one of the main components. After combining two knowledge items, we finally identified three knowledge items and thirteen skills, essential for image interpretation by trainees. The framework can serve as a guideline for education and assessment of two- and three-dimensional image interpretation. Further validation of the framework in larger study groups with different levels of expertise is needed.