The rapid learning environment transition initiated by the COVID-19 pandemic impacted students’ perception of, comfort with, and self-efficacy in the online learning environment. Garrison’s Community of Inquiry framework provides a lens for examining students’ online learning experiences through three interdependent elements: social presence, cognitive presence, and teaching presence. Researchers in this study developed and validated the Learning Modality Change Community of Inquiry and Self-Efficacy scales to measure health professions students’ self-efficacy with online learning, while exploring how cognitive, social, and teaching presence is experienced by students who transition from one learning environment to another. The two scales demonstrate strong validity and reliability evidence and can be used by educators to explore the impacts of learning modality changes on student learning experiences. As learning environments continue to evolve, understanding the impact of these transitions can inform how educators consider curriculum design and learning environment changes.

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Background Despite a paucity of evidence to support a multitude of educational innovations, curricular leaders are pressured to find innovative solutions to better prepare medical students for an evolving twenty-first century health care system. As part of this effort, this study directly compared student-rated effectiveness scores of six different learning modalities. Methods Study participants included 286 medical students enrolled in the second-year rheumatology core at a single academic medical center between 2013 and 2017. Students were surveyed at the end of the core with a 15-item questionnaire, and student perceived effectiveness of six different learning modalities were compared. Results The modality that outperformed all others was Live Patient Encounters (LPE), with significantly higher student-rated effectiveness scores when compared to the referent modality of Problem-Based Learning (PBL). Using a 5-point Likert scale with responses ranging from “not effective” to “highly effective,” LPE received a mean effectiveness score of 4.77 followed by Augenblick (4.21), PBL (4.11), Gout Racer video game (3.49), Rheumatology Remedy e-module (3.49), and simulation knee injection (3.09). Conclusions Technologically advanced novel learning strategies were outperformed in this study by the more traditional active learning modality of LPE. This finding highlights the importance of testing innovative learning strategies at the level of the learner. Three additional conclusions can be drawn from this result. First, conflation of technology with innovation may lead to a myopic view of educational reform. Second, human factors seem to be responsible for the success of LPE and may have far-reaching educational rewards. Third, further applications of LPE should be tested in non-rheumatologic curricula. The relevance of this study is innately tied to the humanities-based application. While a formal qualitative analysis was not performed in this study, preliminary results suggest that live, structured patient interactions in the pre-clinical years of medical education may not only promote the learning of important educational objectives but also foster professional development, empathy, reflection, leadership, agency, and interpersonal skills. This “win-win” scenario (if true) would stand out as a rarity among strategic educational initiatives.

Objectives To determine the strength of study design and outcomes in literature describing pathology education for medical students. Methods A search was conducted for articles related to pathology education published over 45 years describing an educational intervention. The primary data collected included phase of education, domain of objectives, number of learners and institutions, type of intervention, use of a comparison/control group, randomization, and strength of statistical analysis. Results Of 655 articles, 54 (8%) met inclusion criteria. The majority (65%) reported experiences of 100 learners or fewer, and only one was multi-institutional. Only 46% used a comparison/control group. Statistical significance of results was not reported in 39%. None examined outcomes at a point distant from the educational intervention. Conclusions Most studies describing pathology educational interventions are not of strong experimental design. Consumers of educational research should be cognizant of these potential weaknesses in educational studies.

Background: Research investigating predictors of academic success in rigorous health science education is valuable for curricular intervention for identified at-risk students. Various predictors of success have been investigated, but the literature is insufficient when examining anatomy and physiology readiness scores as they correlate to radiography curricular success. This pilot study assessed the correlation between readiness exam scores and programmatic course GPA to determine if the scores could be used as a metric for identifying academic success resources for incoming students. Cohorts of the radiography program at a midwestern health sciences center demonstrated a longitudinal trend of difficulty with anatomy and physiology programmatic coursework. Therefore, researchers set out to investigate whether or not readiness exam scores, in addition to the metrics they were already utilizing, could be used as a tool for early academic remediation. Objective: The objective of this study was to determine if the anatomy and physiology readiness exam scores would be reliable indicators of programmatic success in anatomy and physiology program coursework. Design: This investigation occurred in two phases: a retrospective correlational phase and a quasi-experimental phase. Methods: Retrospective data from cohorts that matriculated between 2013 and 2017 (n=91) was collected and de-identified. Data included prerequisite grade point average (GPA) and grades from anatomy and physiology course taken during the program. During the quasi-experimental phase, a sample of students (n=18) completed a readiness examination. The scores from this examination were correlated with prerequisite GPA and program anatomy and physiology GPA. Results: Data analysis revealed prerequisite GPA and the anatomy and physiology section of the readiness examination to be strong and moderate predictors of programmatic anatomy and physiology course grades, respectively. Conclusion: Predictors of curricular success in a radiography program’s anatomy and physiology coursework are essential factors to consider in relation to admissions practices, curricular prerequisite standards, and on-boarding of new students, especially those identified as at-risk.