Dean Parmelee

Educator motivation is critical for effective teaching and professional growth in health professions education (HPE), yet little research focuses on the self-regulated strategies educators use to sustain their motivation. This study explores the metamotivational strategies of health professions educators and provides evidence of validity for their measurement. An exploratory sequential mixed-methods study (2021-2023, Iran) was conducted in seven steps: literature review, interviews with 15 expert educators (content analyzed), synthesis of literature and interview findings, item development, content validity (CVI/CVR) with 15 experts, cognitive interviews, pilot testing with EFA (n=294), and CFA (n=185) to assess structural validity and reliability. Interviews identified 326 primary codes, categorized into 16 subcategories and five core metamotivational strategies: regulation of professional identity, regulation of vision, regulation of excellence, regulation of motivational space, and regulation of motivational network. The Educators' Metamotivational Strategies (EMS) scale, comprising 15 items, demonstrated strong psychometric properties (EFA: 65.6% total variance, CFA: RMSEA = 0.07, SRMR = 0.06, CFI = 0.91, Cronbach's alpha = 0.855, composite reliability = 0.86). This study provides robust validity evidence for the measuring educators' metamotivational strategies. The EMS scale measures five key metamotivational strategies and is recommended for use in HPE academic settings.

Purpose: Healer’s Art (HART), a health professional elective course, shifted to online platforms during the pandemic year (2020–2021). Because HART focuses on affective domain aspects of such education, the question arose of its validity and efficacy in the online format. This study aimed to identify challenges and experiences of online versus in-person HART learners. Methods: The authors compared students’ end-of-course evaluations between in-person and online cohorts across 3 years. The evaluations included Likert scale responses compared between cohorts with Fisher’s exact tests. Novel questions with narrative responses in the online cohort’s evaluation captured information on challenges with the online platform. Narrative responses were analyzed using constant comparative analysis. Results: No difference was found between in-person (n = 654) and online cohorts (n = 570) in ratings of good/excellent for the overall course (1111/1203, 92.4%), course faculty (1184/1214, 97.5%), and small group experience (1142/1208, 94.5%). Thematic analysis of narrative responses indicated that online HART engagement supported student development of community, professional identity formation, self-care, and relationships. Conclusions: The findings suggest that HART effectively supports affective domain learning in medical and health professional students whether delivered in-person or online. The authors share challenges and successes of online HART, thus increasing the delivery versatility of this course.

Team-Based Learning (TBL) has garnered considerable attention in education research. To consolidate the existing evidence, we conducted an umbrella review with four objectives: (a) to identify TBL review characteristics, (b) to synthesize findings from previous reviews regarding TBL effectiveness and outcomes, (c) to determine which student groups benefit most, and (d) to identify the most and least researched elements. The Joanna Briggs Institute (JBI) methodology was followed: [1] Search strategy and literature search [2] Screening and Study Selection [3] Assessment of methodological quality [4] Data collection, and [5] Data summary. We utilized Endnote, Excel, and MAXQDA for efficient project management and analyzing data. Analyzing twenty-three reviews spanning from 2013 to 2024, we found a peak in TBL research in 2022 including more than 312 unique primary studies involving more than 63,987 participants. Notably, the United States and China accounted for over 61% of the total primary articles focused on students from medicine, nursing, pharmacy, and dentistry. Evidence supports the superiority of TBL in enhancing cognitive outcomes. However, findings related to retention are mixed. Insufficient evidence exists to draw robust conclusions when comparing TBL with other active learning methods. TBL demonstrates favorable outcomes in terms of clinical performance and engagement. Non-technical skills show mixed results. Notably, TBL positively impacts self-study, learning ability, decision-making, and emotional intelligence. Faculty experiences reveal an initial increase in workload, but generally hold positive attitude. Faculty development remain limited in duration and scope. Freshmen, academically weaker students, undergraduates, Chinese female students, and nursing students appear to benefit most from TBL. Team formation and size are the most frequently studied elements. TBL holds promise for improving learning outcomes, but ongoing investigation is essential to maximize its impact in diverse educational contexts. This umbrella review underscores the need for further research in specific areas i.e. effective pre-class learning methods and faculty workload.

Academic physicians are responsible for the education of medical students, residents, and other practicing physicians through clinical rotations lectures, seminars, research, and conferences. Therefore, the increasing need to recruit academic physicians holds immense value within the healthcare system. Academic Medicine Interest Group (AMIG) is a collective made up of students who share an interest in the growth and advancement of academic medicine. We present a guide and model on establishing an AMIG. We found that AMIG fostered professional growth by providing leadership, research, and teaching opportunities. Strategic planning, effective leadership, and group organization were all necessary for the success of the group.

The field of medical education has seen a growing interest in lecture free curriculum. However, it comes with its own set of challenges and obstacles. In this article, we aim to identify the prerequisites, facilitators, challenges, and barriers of lecture-free curriculum in medical education and examine their interrelationships using interpretive structural modeling (ISM) technique. In this mixed-method study initially, we performed a scoping review and semi-structured interviews and determined the main prerequisites, facilitators, challenges, and barriers of lecture-free curriculum in medical education using qualitative content analysis approach. The interrelationships among these components were investigated using ISM. Therefore, self-interactive structural matrices were formed, initial and final reachability matrices were achieved, and MICMAC analysis was conducted to classify the factors. Finally, two ISM models of prerequisites and facilitators with 27 factors in 10 levels and challenges and obstacles with 25 factors in eight levels were developed. Each of the models was divided into three parts: key, strategic, and dependent factors. 'Providing relevant evidence regarding lecture free curriculum' emerged as the most important prerequisite and facilitator, and 'insufficient support from the university' was identified as the most critical barrier and challenge. The study highlights the significant importance of lecture-free curriculum in medical education and provides insights into its prerequisites, facilitators, challenges, and barriers. The findings can be utilized by educational managers and decision-makers to implement necessary changes in the design and implementation of lecture-free in medical education, leading to more effective improvements in the quality and success of education.

Background Education in the health sciences is transitioning to a student-centered approach that has impacted all components of educational institutions: classroom design, faculty training, selection of learners and faculty. Activity Using metaphor analyses, this study investigates the effects on instructor beliefs and values about teaching by having a series of professional development workshops in either a traditional lecture hall or in a collaborative/engaged learning-designed classroom. At the conclusion of the series, both sets of participants were invited to make a free-hand drawing of their “conception” of teaching and label the drawing that represents the conception. Drawings and metaphors were analyzed by non-study raters, and all metaphors were categorized into one of three domains: teacher-centered, learner-centered, learner-driven. Results Faculty who completed the series inside a collaborative learning classroom perceived their roles primarily in the learner-centered domains 37 (59.67%), whereas those that completed it in the lecture hall perceived their roles as primarily teacher-centered 62 (84.93%). Discussion The authors discuss the implications for faculty development during this transition.

Several models and frameworks have been developed in the past two decades to explain motivation regulation in different fields. However, a comprehensive framework that explains the dimensions of metamotivation in medical education is lacking. This study aims to address this gap by presenting a conceptual framework to understand metamotivation in medical education. This study was conducted at Tehran University of Medical Sciences in 2022-2023. We applied Crawford's guidance on developing a conceptual framework via collecting data from three sources: experience, literature, and theory. We developed the initial draft of the conceptual framework by identifying gaps in existing models. A panel of experts reviewed the draft and provided feedback on the framework's generation, explanation, and argumentation. The final model was designed in the form of a graphical presentation. The study's conceptual framework clearly distinguishes between motivational challenges and motivational problems, and outlines four phases that explain each phase's importance, components, and implementation process. The first phase focuses on promoting metamotivational knowledge among learners. In the second phase, learners face motivational challenges and aim to manage them optimally to prevent motivational problems. The third phase occurs when a motivational problem arises, and learners use motivational regulation strategies to resolve it. In the fourth and final phase, learners use psychological skills to stabilize and strengthen the metamotivational process. This study's conceptual framework focuses specifically on the context of medical education to provide guidance for future research and interventions on metamotivation. By presenting this framework, we aim to capture the attention of researchers toward the topic of metamotivation and encourage further exploration of its dimensions.

This AMEE guide seeks to improve the metamotivational knowledge of health professions educators as well as students. We present key models and frameworks of Metamotivation, identify several motivation regulation strategies and their measurement tools, and propose applications for health professions education (HPE). Since our work is grounded on evidence from the field, we include new findings about motivation regulation to encourage further exploration. Although much of the research on Metamotivation has been done outside the field of medical education, we share our six years of research experience and findings within the field to inspire others to replicate and expand.

Background: In metamotivational monitoring, students try to identify the declined motivational component in order to regulate their motivation. There is scarcity of evidence on which motivational components are targeted by the medical students when they use each motivational regulation strategies. This study aims were identifying motivational components in motivational regulation process, developing a measurement tool and, testing the predictive relationship between the motivational components and motivational regulation strategies. Methods: This exploratory sequential design mixed method study is part of a project has been started from 2018 with medical students at Tehran University of Medical Science. First, in a qualitative study conducting a semi-structured in-depth interview, the motivational components were explored. The interviews continued until saturation of data. Then, in a psychometric study the validity and reliability evidence of questionnaire obtained. In the quantitative study, applying the convenience sampling method, 508 students completed the questionnaires. Predictive relation between the motivational regulation strategies and motivational components was assessed utilising Structural Equation Modelling. Path coefficients, T-Value, and R² index were reported by SmartPLS software. Results: In the Exploratory Factor Analysis of Motivational Components Questionnaire (MCQ), 6 factors were discovered that explained 74% of the total variance. All paths in seven models of SEM showed a T-Value above 1.96 that means there is a significant correlation between all strategies and components. In examining the predictive relationships, each of the four components of self-efficacy, intrinsic value, self-relevant value and promotion value were specifically predicted by two motivational regulation strategies. Conclusions: Evidence of validity and reliability of the MCQ indicates that this questionnaire can be used in medical education contexts. Health Profession Educators can improve the academic motivation of students by identifying one or more declined motivational component and teaching specific motivational regulation strategies. It is recommended to hold training courses on motivational regulation strategies for medical school faculty, study-skills advisors, and students.