The Power of Metaphor: Learning Space and Faculty Development.

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.

Model for an Academic Medicine Interest Group: A student-led initiative.

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.

Breaking down barriers and building up facilitators of lecture free curriculum in medical education: An interpretive structural modeling.

INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Metamotivation in medical education: The 4F conceptual framework.

INTRODUCTION: 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. METHOD: 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. FINDINGS: 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. CONCLUSION: 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.

A Cohort Study Assessing the Impact of Anki as a Spaced Repetition Tool on Academic Performance in Medical School.

Introduction: Anki is an application that capitalizes upon the techniques of spaced repetition and is increasingly utilized by medical students for examination preparation. This study examines the impact of Anki usage in a medical school curriculum on academic performance. Secondary objectives analyzed individual Anki utilization and a qualitative assessment of Anki use. Methods: A cohort-control study was conducted at Boonshoft School of Medicine. One hundred thirty first-year medical students were enrolled in an Anki utilization training program from July 2021 to September 2021. Training included educational Anki courses and subsequent survey data collection over Anki usage. Data variables included all course final examinations, the Comprehensive Basic Science Exam (CBSE), individual Anki user statistics, nationally standardized exams scores, and Qualtrics surveys on student perceived ease of use. Results: Seventy-eight students reported using Anki for at least one of the exams, and 52 students did not use Anki for any exam. Anki users scored significantly higher across all four exams: Course I (6.4%; p < 0.001); Course II (6.2%; p = 0.002); Course III (7.0%; p = 0.002); and CBSE (12.9%; p = 0.003). Students who reported higher dependency on Anki for studying performed significantly better on the Course I, II, and CBSE exams. Conclusion: Anki usage may be associated with an increase in standardized examination scores. This supports Anki as an evidence-based spaced repetition and active retrieval learning modality for medical school standardized examinations. There was little correlation between its specific statistical markers and examination performance. This is pertinent to physicians and medical students alike as the learning and preservation of biomedical knowledge is required for examinations and effective clinical care.

Keeping motivation on track by metamotivational knowledge: AMEE Guide No. 160.

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.

The role of motivational components in metamotivational monitoring in medical students: a mixed method study.

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.

Metamotivation in medical students: Explaining motivation regulation strategies in medical students.

BACKGROUND: Metamotivation is a process that students use to monitor their motivational states to reach their academic goals. To date, few studies have addressed the ways that medical students manage their motivational states. This study aim to identify the motivational strategies of medical students as they use the metamotivational process to monitor and control their motivational states. MATERIALS AND METHODS: This qualitative study uses directed content analysis of the narrative responses of 18 medical students to draft an in-depth and semistructured interview protocol which were conducted through WhatsApp due to social distance restrictions of COVID-19. Data were collected, encoded, and analyzed using deductive content analysis approach descripted by Elo and Kyngäs. RESULTS: Seven main themes were extracted as the motivational strategies of medical students including "regulation of value," "regulation of situational interest," "self-consequating," "environmental structuring," "efficacy management," "regulation of relatedness," and "regulation of situational awareness." In this study by identifying new strategies, we provide a broader framework of metamotivational strategies in the field of the progression of learners in medical education. CONCLUSION: Medical students use a variety of strategies to regulate their academic motivation. To sustain and improve the motivation of medical students, identifying and strengthening metamotivational strategies is the first step.

The development and validation of metamotivational strategies in medical students questionnaire.

INTRODUCTION: Understanding medical students' motivational regulation strategies is particularly salient to monitor their quality and quantity of motivation. This study aims to develop and validate a questionnaire to measure metamotivational strategies in medical students. METHODS: A Metamotivational Strategies in Medical Students Questionnaire (MSMQ) was developed by using the seven steps presented in 'developing questionnaires for educational research: AMEE Guide No. 87'. First, in a systematic search, related articles extracted and nine instruments were identified. Then, in a qualitative study, the metamotivational strategies of medical students were explained. In the next step, the identified strategies were conceptually compared with previous studies, and the MSMQ items were developed. Finally, expert validation, cognitive interviews, exploratory factor analysis, and reliability analysis were conducted. RESULTS: The MSMQ consisted of 7 factors and 28 items. CVI >0.79 in terms of relevance, clarity, and simplicity. In exploratory factor analysis, seven subscales explained 67.5% of the variance. Cronbach's alpha = 0.89. ICC = 0.76 - 0.87. CONCLUSION: The MSMQ has reasonable psychometric properties, with adequate internal reliability and strong evidence of structural validity. However, further validation in other settings applying various psychometric methods is recommended.

The lecture-free curriculum: Setting the stage for life-long learning: AMEE Guide No. 135.

In this AMEE Guide we propose that instruction in health sciences education transform to 'lecture-free.' We present rationale for this proposal, guidance on approaches and strategies to achieve the goal, likely challenges, and what we consider the value-added outcomes. We are supported by a confluence of factors: advances in the science of learning and the learning of science and clinical reasoning, incontrovertible evidence that active and engaged learning strategies have better outcomes, current and emerging technology infrastructure in and out of the classroom, and best-practice instructional design.

12 TIPS for Implementing Peer Instruction in Medical Education.

This article was migrated. The article was marked as recommended. Peer Instruction (PI) is a vibrant instructional strategy, used successfully for over two decades in undergraduate physics and mathematics courses. It has had limited use and few publications in medical education. This 12 TIPS provides a focused review on the evidence supporting its use in higher education and rationale for its wider adoption in medical education. The authors detail important steps for its implementation with large classes. Based on several years of experience with PI in a US allopathic medical school, they feel that PI attends to core principles from the science of learning and provides students and faculty with immediate feedback on learning. It is also adaptable to on-line synchronous administration.

Preparing Learners for Learning in the Engaged Learning Classroom.

This article was migrated. The article was marked as recommended. This set of Tips is written to make the best use of an Engaged Learning Classroom (ELC), which some may refer to as the 'flipped classroom.' Strategies for the ELC include Team-Based Learning (TBL), Peer Instruction (PI), Case-Based Learning (CBL). Our focus will be on the design and implementation of the out-of-class phase for any ELC activity since this is as important as the in-class phase, but often neglected. Experience has shown that the quality of learning from the ELC is highly dependent on the preparation before, and follow-up to the class session. The instructor's designation of material (written, audio-visual, other potential learning resources and activities) and guidance on how to approach these materials generates engagement and enhances learning. We provide important contextual information on the learners of today (Generation Z), highlights of current learning theory applicable to self-directed learning, and the unique ingredients for the linkage between out-of-class and in-class learning that makes for the fullest student engagement. Each Tip addresses frequent questions by both instructors and learners who are embarking on the ELC and/or lessons that we have learned from the literature and designing, facilitating, and evaluating sessions.

Leadership Identity Development Through Reflection and Feedback in Team-Based Learning Medical Student Teams.

PROBLEM: Studies on leadership identity development through reflection with Team-Based Learning (TBL) in medical student education are rare. We assumed that reflection and feedback on the team leadership process would advance the progression through leadership identity development stages in medical students within the context of classes using TBL. INTERVENTION: This study is a quasi-experimental design with pretest-posttest control group. The pretest and posttest were reflection papers of medical students about their experience of leadership during their TBL sessions. In the intervention group, TBL and a team-based, guided reflection and feedback on the team leadership process were performed at the end of all TBL sessions. In the other group, only TBL was used. The Stata 12 software was used. Leadership Identity was treated both as a categorical and quantitative variable to control for differences in baseline and gender variables. Chi-square, t tests, and linear regression analysis were performed. CONTEXT: The population was a cohort of 2015-2016 medical students in a TBL setting at Tehran University of Medical Sciences, School of Medicine. Teams of four to seven students were formed by random sorting at the beginning of the academic year (intervention group n = 20 teams, control group n = 19 teams). OUTCOME: At baseline, most students in both groups were categorized in the Awareness and Exploration stage of leadership identity: 51 (52%) in the intervention group and 59 (55%) in the control group: uncorrected χ2(3) = 15.6, design-based F(2.83, 108) = 4.87, p = .003. In the posttest intervention group, 36 (36%) were in exploration, 33 (33%) were in L-identified, 20 (20%) were in Leadership Differentiated, and 10 (10%) were in the Generativity. None were in the Awareness or Integration stages. In the control group, 3 (20%) were in Awareness, 56 (53%) were in Exploration, 35 (33%) were in Leader Identified, 13 (12%) were in Leadership Differentiated. None were in the Generativity and Integration stages. Our hypothesis was supported by the data: uncorrected χ2(4) = 18.6, design-based F(3.77, 143) = 4.46, p = .002. The mean of the leadership identity in the pretest, intervention group equaled 1.93 (SD = 0.85) and the pretest, control group mean was 2.36 (SD = 0.86), p = .004. The mean of the posttest, intervention group was 3.04 (SD = 0.98) and posttest, control group mean was 2.54 (SD = 0.74), T = -4.00, design df = 38, p < .001, and adjusted on baseline and gender T = -8.97, design df = 38, p < .001. LESSONS LEARNED: Reflection and feedback on the team leadership process in TBL advances the progression in stages of leadership identity development in medical students. Although the TBL strategy itself could have an impact on leadership identity development, this study demonstrates that when a reflection and feedback on leadership intervention are added, there is much greater impact.

Uncover it, students would learn leadership from Team-Based Learning (TBL): The effect of guided reflection and feedback.

CONTEXT: Little is known about best practices for teaching and learning leadership through Team-Based learning™ (TBL™) with medical students. We hypothesized that guided reflection and feedback would improve shared leadership and shared leadership capacity, and enhance team decision quality in TBL teams. We used the Kolb experiential learning theory as the theoretical framework. METHOD: The study was conducted at Tehran University of Medical Sciences. Three TBL sessions with 206 students (39 teams) participated in the study. Using a quasi-experimental design, one batch received guided reflection and feedback on their team leadership processes (n = 20 teams) and the other received only TBL (n = 19 teams). Observers measured shared leadership using a checklist. Shared leadership capacity was measured using a questionnaire. Scores on a team application exercise were used to assess quality of team decisions. RESULTS: Evidence did not support our first hypothesis that reflection and feedback enhance shared leadership in TBL teams. Percentages of teams displaying shared leadership did not differ between intervention and control groups in sessions 1 (p = 0.6), 2 (p = 1) or 3 (p = 1). The results did not support the second hypothesis. We found no difference in quality of decision making between the intervention and control groups for sessions 1 (p = 0.77), 2 (p = 0.23), or 3 (p = 0.07). The third hypothesis that the reflection and feedback would have an effect on shared leadership capacity was supported (T = -8.55, p > 0.001 adjusted on baseline; T = -8.55, p > 0.001 adjusted on gender). DISCUSSION AND CONCLUSION: We found that reflection and feedback improved shared leadership capacity but not shared leadership behaviors or team decision quality. We propose medical educators who apply TBL, should provide guided exercise in reflection and feedback so that students may better understand the benefits of working in teams as preparation for their future roles as leaders and members of health care teams.

Team-based learning: a relevant strategy in health professionals' education.

For about a decade, team-based learning (TBL), as an educational strategy, has been growing in use in the US and in several other international medical schools. It is a learner-centered, small group instructional strategy with good academic outcomes and considerable potential to address many of the professional competencies that are critical for the practice of medicine. For it to be successful in a course or curriculum, its essential components must be used properly. This article explains the importance and relevance of TBL in healthcare education, supports its inclusion as an effective learning strategy, and encourages the reader to explore additional resources, including the recently published AMEE Guide in Medical Education related to the topic (Parmelee et al, 2012).

Team-based learning: a practical guide: AMEE guide no. 65.

Team-based learning™ (TBL) is an instructional strategy developed in the business school environment in the early 1990s by Dr Michaelsen who wanted the benefits of small group learning within large classes. In 2001, a US federal granting agency awarded funds for educators in the health sciences to learn about and implement the strategy in their educational programs; TBL was put forward as one such strategy and as a result it is used in over 60 US and international health science professional schools. TBL is very different from problem-based learning (PBL) and other small group approaches in that there is no need for multiple faculty or rooms, students must come prepared to sessions, and individual and small groups of students (teams) are highly accountable for their contributions to team productivity. The instructor must be a content-expert, but need not have any experience or expertise in group process to conduct a successful TBL session. Students do not need any specific instruction in teamwork since they learn how to be collaborative and productive in the process. TBL can replace or complement a lecture-based course or curriculum.

Perspective: Guidelines for reporting team-based learning activities in the medical and health sciences education literature.

Medical and health sciences educators are increasingly employing team-based learning (TBL) in their teaching activities. TBL is a comprehensive strategy for developing and using self-managed learning teams that has created a fertile area for medical education scholarship. However, because this method can be implemented in a variety of ways, published reports about TBL may be difficult to understand, critique, replicate, or compare unless authors fully describe their interventions.The authors of this article offer a conceptual model and propose a set of guidelines for standardizing the way that the results of TBL implementations are reported and critiqued. They identify and articulate the seven core design elements that underlie the TBL method and relate them to educational principles that maximize student engagement and learning within teams. The guidelines underscore important principles relevant to many forms of small-group learning. The authors suggest that following these guidelines when writing articles about TBL implementations should help standardize descriptive information in the medical and health sciences education literature about the essential aspects of TBL activities and allow authors and reviewers to successfully replicate TBL implementations and draw meaningful conclusions about observed outcomes.

Teaching clinical pharmacology using team-based learning: a comparison between third- and fourth-year medical students.

The purpose of this study was to formulate evidence-based recommendations on whether to deliver the team-based learning (TBL)-designed clinical pharmacology course at the American University of Beirut Faculty of Medicine (AUBFM) during the third year instead of the fourth and final year of the medical curriculum. Between June 2010 and May 2011, AUBFM offered the course to both classes simultaneously to compare their performance. The findings of this endeavor supported the introduction of the course during the third year, first because fourth-year students did not outperform third-year students despite having the advantage of an additional year of clinical experience, and second, third-year teams seemed more likely to develop into better functioning teams. The findings also suggested that simultaneous delivery of TBL sessions to both third- and fourth-year teams was less favorably recommended because of the varying learning pace of both student groups.