Trainee selection of tasks in postgraduate medical education: Is there a role for 'cherry-picking' to optimise learning?

PURPOSE: Learning is optimised when postgraduate trainees engage in clinical tasks in their zone of proximal development (ZPD). However, workplace learning environments impose additional non-learning goals and additional tasks that may lead to trainees engaging in tasks that do not fall within their ZPD. We do not fully understand how trainees select clinical tasks in the workplace learning environment. If we knew the goals and factors they consider when selecting a task, we could better equip trainees with strategies to select tasks that maximise learning. We explored how postgraduate trainees select clinical tasks using echocardiography interpretation as a model. METHODS: Canadian General Cardiology residents and Echocardiography fellows were invited to participate in semi-structured interviews. Aligning with a theory-informed study, two independent researchers used a deductive, directed content analysis approach to identify codes and themes. RESULTS: Eleven trainees from seven Canadian universities participated (PGY4 = 4, PGY5 = 3, PGY6 = 1 and echocardiography fellows = 3). Goals included learning content, fulfilling assessment criteria and contributing to clinical demands. Trainees switched between goals throughout the day, as it was too effortful for them to engage in tasks within their ZPD at all times. When trainees had sufficient mental effort available, they selected higher complexity tasks that could advance learning content. When available mental effort was low, trainees selected less complex tasks that fulfilled numerically based assessment goals or contributed to clinical demands. Trainees predominantly used perceived complexity of the echocardiogram as a factor to select tasks to achieve their desired goals. CONCLUSION: Postgraduate trainees select tasks within their ZPD that enable them to maximise learning when they perceive to have sufficient mental effort available and workplace affordances are adequate. These findings can inform individual and systemic strategies to maximise learning when selecting tasks.

Exploring the use of metacognitive monitoring cues following a diagram completion intervention.

Studying texts constitutes a significant part of student learning in health professions education. Key to learning from text is the ability to effectively monitor one's own cognitive performance and take appropriate regulatory steps for improvement. Inferential cues generated during a learning experience typically guide this monitoring process. It has been shown that interventions to assist learners in using comprehension cues improve their monitoring accuracy. One such intervention is having learners to complete a diagram. Little is known, however, about how learners use cues to shape their monitoring judgments. In addition, previous research has not examined the difference in cue use between categories of learners, such as good and poor monitors. This study explored the types and patterns of cues used by participants after being subjected to a diagram completion task prior to their prediction of performance (PoP). Participants' thought processes were studied by means of a think-aloud method during diagram completion and the subsequent PoP. Results suggest that relying on comprehension-specific cues may lead to a better PoP. Poor monitors relied on multiple cue types and failed to use available cues appropriately. They gave more incorrect responses and made commission errors in the diagram, which likely led to their overconfidence. Good monitors, on the other hand, utilized cues that are predictive of learning from the diagram completion task and seemed to have relied on comprehension cues for their PoP. However, they tended to be cautious in their judgement, which probably made them underestimate themselves. These observations contribute to the current understanding of the use and effectiveness of diagram completion as a cue-prompt intervention and provide direction for future research in enhancing monitoring accuracy.

In experts' words: Translating theory to practice for teaching self-regulated learning.

INTRODUCTION: Health professions education (HPE) should help students to competently self-regulate their learning, preparing them for future challenges. This study explored the perspectives of expert self-regulated learning (SRL) researchers and practitioners on the practical integration of SRL theories into teaching. METHODS: An exploratory qualitative research study was conducted involving semi-structured interviews with acknowledged research leaders in the field of SRL and/or experienced professionals dedicated to teaching SRL strategies for complex skills in different disciplines. The data were analyzed using an iterative thematic approach guided by a six-step framework. RESULTS: Fifteen interviews were conducted with experts from six countries representing diverse contexts, cultures, and disciplines. We identified five themes related to translating theory to practice for teaching SRL in HPE: theoretical issues, cultural aspects, stakeholders' participation, teaching complexity, assessment, and feedback. CONCLUSIONS: This study presents a useful starting point for teaching SRL. The experts suggest a supportive learning environment with the guidance of competent teachers by using general and task-specific teaching and learning strategies, as well as sufficient sources and cycles of feedback, all tailored to the culture and context. These findings call for a shift in faculty development programs to foster teachers to support second-order scaffolding in HPE.

Identifying characteristics of a skilled communicator in the clinical encounter.

BACKGROUND: In medical communication research, there has been a shift from 'communication skills' towards 'skilled communication', the latter implying the development of flexibility and creativity to tailor communication to authentic clinical situations. However, a lack of consensus currently exists what skilled communication entails. This study therefore aims to identify characteristics of a skilled communicator, hereby contributing to theory building in communication research and informing medical training. METHOD: In 2020, six nominal group technique (NGT) sessions were conducted in the context of the general practitioner (GP) training programme engaging 34 stakeholders (i.e. GPs, GP residents, faculty members and researchers) based on their experience and expertise in doctor-patient communication. Participants in each NGT session rank-ordered a 'Top 7' of characteristics of a skilled communicator. The output of the NGT sessions was analysed using mixed methods, including descriptive statistics and thematic content analysis during an iterative process. RESULTS: Rankings of the six sessions consisted of 191 items in total, which were organised into 41 clusters. Thematic content analysis of the identified 41 clusters revealed nine themes describing characteristics of a skilled communicator: (A) being sensitive and adapting to the patient; (B) being proficient in applying interpersonal communication; (C) self-awareness, learning ability and reflective capacity; (D) being genuinely interested; (E) being proficient in applying patient-centred communication; (F) goal-oriented communication; (G) being authentic; (H) active listening; and (I) collaborating with the patient. CONCLUSIONS: We conceptualise a skilled communication approach based on the identified characteristics in the present study to support learning in medical training. In a conceptual model, two parallel processes are key in developing adaptive expertise in communication: (1) being sensitive and adapting communication to the patient and (2) monitoring communication performance in terms of self-awareness and reflective capacity. The identified characteristics and the conceptual model provide a base to develop a learner-centred programme, facilitating repeated practice and reflection. Further research should investigate how learners can be optimally supported in becoming skilled communicators during workplace learning.

Study smart - impact of a learning strategy training on students' study behavior and academic performance.

Recent research shows the importance to teach students the self-regulated use of effective learning strategies at university. However, the effects of such training programs on students' metacognitive knowledge, use of learning strategies, and academic performance in the longer term are unknown. In the present study, all first-year pharmacology students from one university attended a learning strategy training program, i.e., the 'Study Smart program', in their first weeks. The 20% (n = 25) lowest scoring students on the first midterm received further support regarding their learning strategies. Results showed that all students gained accurate metacognitive knowledge about (in)effective learning strategies in the short- and long-term and reported to use less highlighting, less rereading, but more interleaving, elaboration, and distributed practice after the training program. Academic performance was compared to the prior cohort, which had not received the Study Smart program. While in the previous cohort, students in the top, middle, and bottom rank of midterm 1 stayed in these ranks and still differed significantly in the final exam, students in the Study Smart cohort that received the training program improved throughout the year and differences between ranks were significantly reduced. A learning strategy training program including a remediation track for lower performing students can thus support students to study more effectively and enhance equal chances for all students at university.

Twelve tips for applying the think-aloud method to capture cognitive processes.

The think-aloud method is an established technique for studying human thought (cognitive) processes. Problem-solving and decision-making are essential skills for medical professionals, and the cognitive processes underlying these skills are complex. Studying these thought processes would enable educators, clinicians, and researchers to modify or refine their approaches and interventions. The think-aloud method has been utilized for capturing cognitive processes in a variety of fields, including computer usability, sports and cognitive psychology. Medical education also recognizes thought processes as valuable data for research and education. This article aims to guide researchers and educators through the preparation and implementation of a think-aloud method to record participants' thought processes during an activity.

Basic psychological needs satisfaction as a mediator between clinical learning climate, self-regulated learning and perceived learning in the nursing education context.

PURPOSE: Self-regulated learning (SRL) can enhance students' learning process. Students need support to effectively regulate their learning. However, the effect of learning climate on SRL behavior, its ultimate effect on learning and the underlying mechanisms have not yet been established. We explored these relationships using self-determination theory. MATERIALS AND METHODS: Nursing students (N = 244) filled in questionnaires about SRL behavior, perceived learning, perceived pedagogical atmosphere and Basic Psychological Needs (BPN) satisfaction after their clinical placement. Structural equation modelling was used to test a model in which perceived pedagogical atmosphere affects SRL behavior and subsequent perceived learning through BPN satisfaction. RESULTS: The tested model had an adequate fit (RMSEA = 0.080, SRMR = 0.051; CFI = 0.972; TLI = 0.950). A positively perceived pedagogical atmosphere contributed to SRL behavior, which was fully explained by BPN satisfaction. SRL partially mediated the contribution of pedagogical atmosphere/BPN to perceived learning. CONCLUSIONS: A learning climate that satisfies students' BPN contributes to their SRL behavior. SRL behavior plays a positive but modest role in the relationship between climate and perceived learning. Without a culture that is supportive of learning, implementation of tools to apply SRL behavior may not be effective. Study limitations include reliance on self-report scales and the inclusion of a single discipline.

Skeptical self-regulation: Resident experiences of uncertainty about uncertainty.

OBJECTIVES: Managing uncertainty is central to expert practice, yet how novice trainees navigate these moments is likely different than what has been described by experienced clinicians. Exploring trainees' experiences with uncertainty could therefore help explicate the unique cues that they attend to, how they appraise their comfort in these moments and how they enact responses within the affordances of their training environment. METHODS: Informed by constructivist grounded theory, we explored how novice emergency medicine trainees experienced and managed clinical uncertainty in practice. We used a critical incident technique to prompt participants to reflect on experiences with uncertainty immediately following a clinical shift, exploring the cues they attended to and the approaches they used to navigate these moments. Two investigators coded line-by-line using constant comparison, organising the data into focused codes. The research team discussed the relationships between these codes and developed a set of themes that supported our efforts to theorise about the phenomenon. RESULTS: We enrolled 13 trainees in their first two years of postgraduate training across two institutions. They expressed uncertainty about the root causes of the patient problems they were facing and the potential management steps to take, but also expressed a pervasive sense of uncertainty about their own abilities and their appraisals of the situation. This, in turn, led to challenges with selecting, interpreting and using the cues in their environment effectively. Participants invoked several approaches to combat this sense of uncertainty about themselves, rehearsing steps before a clinical encounter, checking their interpretations with others and implicitly calibrating their appraisals to those of more experienced team members. CONCLUSIONS: Trainees' struggles with the legitimacy of their interpretations impact their experiences with uncertainty. Recognising these ongoing struggles may enable supervisors and other team members to provide more effective scaffolding, validation and calibration of clinical judgments and patient management.

Warning bells: How clinicians leverage their discomfort to manage moments of uncertainty.

OBJECTIVES: It remains unclear how medical educators can more effectively bridge the gap between trainees' intolerance of uncertainty and the tolerance that experienced physicians demonstrate in practice. Exploring how experienced clinicians experience, appraise and respond to discomfort arising from uncertainty could provide new insights regarding the kinds of behaviours we are trying to help trainees achieve. METHODS: We used a constructivist grounded theory approach to explore how emergency medicine faculty experienced, managed and responded to discomfort in settings of uncertainty. Using a critical incident technique, we asked participants to describe case-based experiences of uncertainty immediately following a clinical shift. We used probing questions to explore cognitive, emotional and somatic manifestations of discomfort, how participants had appraised and responded to these cues, and how they had used available resources to act in these moments of uncertainty. Two investigators coded the data line by line using constant comparative analysis and organised transcripts into focused codes. The entire research team discussed relationships between codes and categories, and developed a conceptual framework that reflected the possible relationships between themes. RESULTS: Participants identified varying levels of discomfort in their case descriptions. They described multiple cues alerting them to problems that were evolving in unexpected ways or problems with aspects of management that were beyond their abilities. Discomfort served as a trigger for participants to monitor a situation with greater attention and to proceed more intentionally. It also served as a prompt for participants to think deliberately about the types of human and material resources they might call upon strategically to manage these uncertain situations. CONCLUSIONS: Discomfort served as a dynamic means to manage and respond to uncertainty. To be 'tolerant' of uncertainty thus requires clinicians to embrace discomfort as a powerful tool with which to grapple with the complex problems pervasive in clinical practice.

Undergraduate Radiology Education During the COVID-19 Pandemic: A Review of Teaching and Learning Strategies [Formula: see text].

The Coronavirus disease 2019 (COVID-19) pandemic has altered how medical education is delivered, worldwide. Didactic sessions have transitioned to electronic/online platforms and clinical teaching opportunities are limited. These changes will affect how radiology is taught to medical students at both the pre-clerkship (ie, year 1 and 2) and clinical (ie, year 3 and 4) levels. In the pre-clerkship learning environment, medical students are typically exposed to radiology through didactic lectures, integrated anatomy laboratories, case-based learning, and ultrasound clinical skills sessions. In the clinical learning environment, medical students primarily shadow radiologists and radiology residents and attend radiology resident teaching sessions. These formats of radiology education, which have been the tenets of the specialty, pose significant challenges during the pandemic. This article reviews how undergraduate radiology education is affected by COVID-19 and explores solutions for teaching and learning based on e-learning and blended learning theory.

Communication skills supervisors' monitoring of history-taking performance: an observational study on how doctors and non-doctors use cues to prepare feedback.

BACKGROUND: Medical students need feedback to improve their patient-interviewing skills because self-monitoring is often inaccurate. Effective feedback should reveal any discrepancies between desired and observed performance (cognitive feedback) and indicate metacognitive cues which are diagnostic of performance (metacognitive feedback). We adapted a cue-utilization model to studying supervisors' cue-usage when preparing feedback and compared doctors' and non-doctors' cue usage. METHOD: Twenty-one supervisors watched a video of a patient interview, choose scenes for feedback, and explained their selection. We applied content analysis to categorize and count cue-use frequency per communication pattern (structuring/facilitating) and scene performance rating (positive/negative) for both doctors and non-doctors. RESULTS: Both groups used cognitive cues more often than metacognitive cues to explain their scene selection. Both groups also used metacognitive cues such as subjective feelings and mentalizing cues, but mainly the doctors mentioned 'missing information' as a cue. Compared to non-doctors, the doctors described more scenes showing negative performance and fewer scenes showing positive narrative-facilitating performance. CONCLUSIONS: Both groups are well able to communicate their observations and provide cognitive feedback on undergraduates' interviewing skills. To improve their feedback, supervisors should be trained to also recognize metacognitive cues, such as subjective feelings and mentalizing cues, and learn how to convert both into metacognitive feedback.

Understanding medical student evidence-based medicine information seeking in an authentic clinical simulation.

OBJECTIVE: Evidence-based medicine practices of medical students in clinical scenarios are not well understood. Optimal foraging theory (OFT) is one framework that could be useful in breaking apart information-seeking patterns to determine effectiveness and efficiency of different methods of information seeking. The aims of this study were to use OFT to determine the number and type of resources used in information seeking when medical students answer a clinical question, to describe common information-seeking patterns, and identify patterns associated with higher quality answers to a clinical question. METHODS: Medical students were observed via screen recordings while they sought evidence related to a clinical question and provided a written response for what they would do for that patient based on the evidence that they found. RESULTS: Half (51%) of study participants used only 1 source before answering the clinical question. While the participants were able to successfully and efficiently navigate point-of-care tools and search engines, searching PubMed was not favored, with only half (48%) of PubMed searches being successful. There were no associations between information-seeking patterns and the quality of answers to the clinical question. CONCLUSION: Clinically experienced medical students most frequently relied on point-of-care tools alone or in combination with PubMed to answer a clinical question. OFT can be used as a framework to understand the information-seeking practices of medical students in clinical scenarios. This has implications for both teaching and assessment of evidence-based medicine in medical students.

Age-related differences in task-induced brain activation is not task specific: Multivariate pattern generalization between metacognition, cognition and perception.

Adolescence is associated with widespread maturation of brain structures and functional connectivity profiles that shift from local to more distributed and better integrated networks, which are active during a variety of cognitive tasks. Nevertheless, the approach to examine task-induced developmental brain changes is function-specific, leaving the question open whether functional maturation is specific to the particular cognitive demands of the task used, or generalizes across different tasks. In the present study we examine the hypothesis that functional brain maturation is driven by global changes in how the brain handles cognitive demands. Multivariate pattern classification analysis (MVPA) was used to examine whether age discriminative task-induced activation patterns generalize across a wide range of information processing levels. 25 young (13-years old) and 22 old (17-years old) adolescents performed three conceptually different tasks of metacognition, cognition and visual processing. MVPA applied within each task indicated that task-induced brain activation is consistent and reliably different between ages 13 and 17. These age-discriminative activation patterns proved to be common across the different tasks used, despite the differences in cognitive demands and brain structures engaged by each of the three tasks. MVP classifiers trained to detect age-discriminative patterns in brain activation during one task were significantly able to decode age from brain activation maps during execution of other tasks with accuracies between 63 and 75%. The results emphasize that age-specific characteristics of task-induced brain activation have to be understood at the level of brain-wide networks that show maturational changes in their organization and processing efficacy during adolescence.

Comfort with uncertainty: reframing our conceptions of how clinicians navigate complex clinical situations.

Learning to take safe and effective action in complex settings rife with uncertainty is essential for patient safety and quality care. Doing so is not easy for trainees, as they often consider certainty to be a necessary precursor for action and subsequently struggle in these settings. Understanding how skillful clinicians work comfortably when uncertain, therefore, offers an important opportunity to facilitate trainees' clinical reasoning development. This critical review aims to define and elaborate the concept of 'comfort with uncertainty' in clinical settings by juxtaposing a variety of frameworks and theories in ways that generate more deliberate ways of thinking about, and researching, this phenomenon. We used Google Scholar to identify theoretical concepts and findings relevant to the topics of 'uncertainty,' 'ambiguity,' 'comfort,' and 'confidence,' and then used preliminary findings to pursue parallel searches within the social cognition, cognition, sociology, sociocultural, philosophy of medicine, and medical education literatures. We treat uncertainty as representing the lived experience of individuals, reflecting the lack of confidence one feels that he/she has an incomplete mental representation of a particular problem. Comfort, in contrast, references confidence in one's capabilities to act (or not act) in a safe and effective manner given the situation. Clinicians' 'comfort with uncertainty' is informed by a variety of perceptual, emotional, and situational cues, and is enabled through a combination of self-monitoring and forward planning. Potential implications of using 'comfort with uncertainty' as a framework for educational and research programs are explored.

Developing the Evidence Base for M-Learning in Undergraduate Radiology Education: Identifying Learner Preferences for Mobile Apps.

PURPOSE: There is a lack of evidence for developing radiology mobile apps for medical students. This study identifies the characteristics which students perceive as most valuable to teaching radiology with mobile apps (m-learning). METHODS: An online anonymous survey was administered to second- to fourth-year medical students at a single institution. The survey, which was based on established theoretical framework, collected students' preferred content organization, content presentation, and delivery strategies. The Copeland method was used to rank student preferences and a 2-tailed t test was used to determine if student responses were related to their clinical experience, with statistical significance at P < .05. RESULTS: The response rate was 25.6% (163/635). For content organization, image interpretation (66.9%), imaging anatomy (61.3%), and common pathological conditions (50.3%) were selected as the most important. For content presentation, quizzes (49.1%) and case presentations (46.0%) were selected as the most useful. Students with clinical experience rated algorithms as more important (P < .01) and quizzes as less important (P = .03). For delivery strategies, ease of use (92.6%), navigation (90.8%), and gestural design (74.8%) were deemed the most applicable. CONCLUSION: This study documents medical students' preferences for m-learning in radiology. Although learner preferences are not the only feature to consider in the development of educational technology, these provide the initial framework for radiologists wishing to develop and incorporate mobile apps into their teaching.

Is there a superior simulator for human anatomy education? How virtual dissection can overcome the anatomic and pedagogic limitations of cadaveric dissection.

Educators must select the best tools to teach anatomy to future physicians and traditionally, cadavers have always been considered the "gold standard" simulator for living anatomy. However, new advances in technology and radiology have created new teaching tools, such as virtual dissection, which provide students with new learning opportunities. Virtual dissection is a novel way of studying human anatomy through patient computed tomography (CT) scans. Through touchscreen technology, students can work together in groups to "virtually dissect" the CT scans to better understand complex anatomic relationships. This article presents the anatomic and pedagogic limitations of cadaveric dissection and explains what virtual dissection is and how this new technology may be used to overcome these limitations.

Development and Evaluation of a Competency-Based Anatomy Rotation for Diagnostic Radiology Residents During Internship Year: A Canadian Experience.

RATIONALE AND AIM: As medical schools reduce the hours of anatomy teaching, residents in anatomy-intensive residency programs like radiology must independently acquire the anatomy knowledge needed to achieve competency. The purpose of this study was to develop and evaluate a 4-week competency-based self-directed anatomy rotation for junior residents. METHODS: Seven post-graduate year 1 (PGY-1) radiology residents completed a 4-week rotation of radiologic anatomy. The objectives were developed from standards, senior residents, and expert opinion, and the competency-based curriculum included self-directed modules. Pre-course and post-course tests were administered and test scores were compared using an unpaired t test. In addition, PGY-1 residents completed a course evaluation and survey regarding their anatomy knowledge and anatomy exposure prior to completing the course. RESULTS: Out of the 25 points available, the average pre-test score was 10.79 ± 2.78 (range 8-16.5), and the average post-test score was 21.64 ± 2.23 (range 18.5-25). This difference was statistically significant (P < .0001). The PGY-1 residents reported receiving < 10% of dedicated radiologic anatomy teaching prior to residency and felt unprepared for the anatomy required in residency. Overall, residents felt more confident in looking at images after completing the self-directed radiologic anatomy course. CONCLUSION: This study demonstrates the feasibility of creating a self-directed course for radiology residents that significant improves their anatomy knowledge. Given the trend in medical undergraduate education away from dedicated anatomy teaching, residency programs should consider addressing anatomy education more formally for junior residents to ensure that trainees receive the foundational knowledge required for residency.

Monitoring and regulation of learning in medical education: the need for predictive cues.

CONTEXT: Being able to accurately monitor learning activities is a key element in self-regulated learning in all settings, including medical schools. Yet students' ability to monitor their progress is often limited, leading to inefficient use of study time. Interventions that improve the accuracy of students' monitoring can optimise self-regulated learning, leading to higher achievement. This paper reviews findings from cognitive psychology and explores potential applications in medical education, as well as areas for future research. COGNITIVE PSYCHOLOGY: Effective monitoring depends on students' ability to generate information ('cues') that accurately reflects their knowledge and skills. The ability of these 'cues' to predict achievement is referred to as 'cue diagnosticity'. Interventions that improve the ability of students to elicit predictive cues typically fall into two categories: (i) self-generation of cues and (ii) generation of cues that is delayed after self-study. Providing feedback and support is useful when cues are predictive but may be too complex to be readily used. APPLICATION TO MEDICAL EDUCATION: Limited evidence exists about interventions to improve the accuracy of self-monitoring among medical students or trainees. Developing interventions that foster use of predictive cues can enhance the accuracy of self-monitoring, thereby improving self-study and clinical reasoning. First, insight should be gained into the characteristics of predictive cues used by medical students and trainees. Next, predictive cue prompts should be designed and tested to improve monitoring and regulation of learning. Finally, the use of predictive cues should be explored in relation to teaching and learning clinical reasoning. CONCLUSIONS: Improving self-regulated learning is important to help medical students and trainees efficiently acquire knowledge and skills necessary for clinical practice. Interventions that help students generate and use predictive cues hold the promise of improved self-regulated learning and achievement. This framework is applicable to learning in several areas, including the development of clinical reasoning.

The challenges of studying visual expertise in medical image diagnosis.

CONTEXT: Visual expertise is the superior visual skill shown when executing domain-specific visual tasks. Understanding visual expertise is important in order to understand how the interpretation of medical images may be best learned and taught. In the context of this article, we focus on the visual skill of medical image diagnosis and, more specifically, on the methodological set-ups routinely used in visual expertise research. METHODS: We offer a critique of commonly used methods and propose three challenges for future research to open up new avenues for studying characteristics of visual expertise in medical image diagnosis. The first challenge addresses theory development. Novel prospects in modelling visual expertise can emerge when we reflect on cognitive and socio-cultural epistemologies in visual expertise research, when we engage in statistical validations of existing theoretical assumptions and when we include social and socio-cultural processes in expertise development. The second challenge addresses the recording and analysis of longitudinal data. If we assume that the development of expertise is a long-term phenomenon, then it follows that future research can engage in advanced statistical modelling of longitudinal expertise data that extends the routine use of cross-sectional material through, for example, animations and dynamic visualisations of developmental data. The third challenge addresses the combination of methods. Alternatives to current practices can integrate qualitative and quantitative approaches in mixed-method designs, embrace relevant yet underused data sources and understand the need for multidisciplinary research teams. CONCLUSION: Embracing alternative epistemological and methodological approaches for studying visual expertise can lead to a more balanced and robust future for understanding superior visual skills in medical image diagnosis as well as other medical fields.

Why are children overconfident? Developmental differences in the implementation of accessibility cues when judging concept learning.

Children are often overconfident when monitoring their learning, which is harmful for effective control and learning. The current study investigated children's (N=167, age range 7-12years) judgments of learning (JOLs) when studying difficult concepts. The main aims were (a) to investigate how JOL accuracy is affected by accessibility cues and (b) to investigate developmental changes in implementing accessibility cues in JOLs. After studying different concepts, children were asked to generate novel sentences and then to make JOLs, select concepts for restudy, and take a final test. Overconfidence for incorrect and incomplete test responses was reduced for older children in comparison with younger children. For older age groups, generating a sentence led to greater overconfidence compared with not being able to generate a sentence, which indicates that older children relied more on accessibility cues when making JOLs. This pattern differed in the youngest age group; younger children were generally overconfident regardless of whether they had generated sentences or not. Overconfidence was disadvantageous for effective control of learning for all age groups. These findings imply that instructions to encourage children to avoid metacognitive illusions need to be adapted to children's developmental stage.