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Learning curves can be used to design, implement, and evaluate educational interventions. Attention to key aspects of the method can improve the fidelity of this representation of learning as well as its suitability for education and research purposes. This paper addresses when to use a learning curve, which graphical properties to consider, how to use learning curves quantitatively, and how to use observed thresholds to communicate meaning. We also address the associated ethics and policy considerations. We conclude with a best practices checklist for both educators and researchers seeking to use learning curves in their work.
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BACKGROUND: Medical student burnout and anxiety has received growing attention in the past decade. The culture of competition and assessment has resulted in increasing stress levels amongst medical students, causing a decline in their academic performance and overall mental health. The objective of this qualitative analysis was to characterize recommendations from educational experts to aid students' academic progress. METHODS: At an international meeting in 2019, worksheets were completed by medical educators during a panel discussion. Participants responded to four scenarios representing common challenges medical students face in school (eg. Postponing Step 1, failing clerkships, etc.). For each case, participants addressed what students, faculty and medical schools could do to mitigate the challenge. Inductive thematic analysis was conducted by two authors followed by deductive categorization using an individual-organizational resilience model. RESULTS: Across the four cases, common suggestions made for students, faculty and medical schools were aligned to a resilience model representing the complex interplay between individuals and organizations and the impact on student wellbeing. DISCUSSION: Using suggestions from medical educators from across the US, we were able to identify recommendations for students, faculty, and medical schools to help students succeed in medical school. By applying a model of resilience, faculty serve as a critical bridge to connect students to the medical school administration. Our findings also support a pass/fail curriculum to ease the competition and burden students place on themselves.
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Academic Performance , Students, Medical , Humans , Faculty , Anxiety , Schools, MedicalABSTRACT
Peer tutoring can benefit both learners and peer teachers that are distinct from the learning that occurs in expert-guided learning environments. This study sought to evaluate the peer tutoring program at a large public medical school to determine the strengths and weaknesses of a near-peer tutoring program and its benefits beyond students' typical classroom-based learning. This was a survey-based study of learners and tutors participating in the peer tutoring program. Fifty-six learners and 20 tutors participated in the survey; most learners received tutoring in the preclinical phase of the curriculum. Narrative responses were thematically analyzed to identify themes for both groups. Learners' responses about the benefit of the near-peer tutoring program were in three primary categories: creating a safe learning environment, direct coaching skills, and pitfalls around the need for individualized direction. Tutors' responses about what made a successful tutoring relationship centered around crucial activities used to engage with learners, beneficial intrinsic qualities of learners such as motivation, and qualifications of tutors that were most helpful such as knowledge base. Peer tutoring programs should emphasize individualized feedback for learners that focuses on metacognitive, content-based, and socio-emotional support. In doing so, such programs can provide a well-structured approach to improve learner success. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-022-01680-0.
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SUMMARY STATEMENT: Learning curves are used in health professions education to graphically represent paths to competence and expertise. However, research using learning curves often omit important information. The authors conducted a systematic review of the reporting quality of learning curves in simulation-based education research to identify specific areas for improvement. Reviewers extracted information on graphical, statistical, and conceptual elements. The authors identified 230 eligible articles. Most learning curve elements were reported infrequently, including use of an optimal linking function, detailed description of feedback or learning intervention, use of advanced visualization techniques such as overlaying and stacking, and depiction of competency thresholds. Reporting did not improve over time for most elements. Reporting of learning curves in health professions education research is incomplete and often underutilizes their desirable properties. Recommendations for improvement of the statistical, graphical, and conceptual reporting of learning curves, as well as applications to simulation research and education, are presented.
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Health Occupations , Learning Curve , Computer Simulation , HumansABSTRACT
OBJECTIVE: The purpose of this study was to describe the use of hypnotic suggestion as a means of precipitating nonepileptic events in children while they are undergoing video electroencephalographic monitoring (VEEG) for differential diagnosis of seizurelike behavior. METHODS: Nine children aged 8-16 years were referred for VEEG to differentiate between epileptic seizures and nonepileptic events. All subjects underwent psychiatric consultation. Hypnosis was attempted in all subjects to try to provoke typical seizurelike events. RESULTS: In eight of nine patients, their typical seizurelike events were provoked by hypnosis. In all eight children, video and EEG analysis of the provoked events demonstrated them to be nonepileptic. No epileptiform abnormalities were present on interictal EEGs. No epileptic seizures occurred. CONCLUSION: Hypnosis is a useful and ethical means of provoking psychogenic nonepileptic events in children. Hypnotic suggestion should be considered as a provocative method when possibly psychogenic nonepileptic events have not occurred spontaneously during diagnostic evaluation.