Research in medical education: pratical impact on medical training and future challenges

Medical education research has changed over the years from merely descriptive studies towards justification or curriculum comparison studies and, nowadays, towards a slow introduction of more clarification studies. In clarification studies quantitative and qualitative methods are used to explain why or how educational interventions work or do not work. This shift is described in this paper. In addition, it is explained how research into workplace learning and assessment has impacted developments in educational practice. Finally, it is argued that the participation of teachers within the medical domain in conducting and disseminating research should be cherished, because they play a crucial role in ensuring that medical education research is applied in educational practice

Driving lesson or driving test?:A metaphor to help faculty separate feedback from assessment

Although there is consensus in the medical education world that feedback is an important and effective tool to support experiential workplace-based learning, learners tend to avoid the feedback associated with direct observation because they perceive it as a high-stakes evaluation with significant consequences for their future. The perceived dominance of the summative assessment paradigm throughout medical education reduces learners’ willingness to seek feedback, and encourages supervisors to mix up feedback with provision of ‘objective’ grades or pass/fail marks. This eye-opener article argues that the provision and reception of effective feedback by clinical supervisors and their learners is dependent on both parties’ awareness of the important distinction between feedback used in coaching towards growth and development (assessment for learning) and reaching a high-stakes judgement on the learner’s competence and fitness for practice (assessment of learning). Using driving lessons and the driving test as a metaphor for feedback and assessment helps supervisors and learners to understand this crucial difference and to act upon it. It is the supervisor’s responsibility to ensure that supervisor and learner achieve a clear mutual understanding of the purpose of each interaction (i.e. feedback or assessment). To allow supervisors to use the driving lesson—driving test metaphor for this purpose in their interactions with learners, it should be included in faculty development initiatives, along with a discussion of the key importance of separating feedback from assessment, to promote a feedback culture of growth and support programmatic assessment of competence

Modelling the pre-assessment learning effects of assessment : evidence in the validity chain

Publication of this article was funded by the Stellenbosch University Open Access Fund.The original publication is available at http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291365-2923/OBJECTIVES We previously developed a model of the pre-assessment learning effects of consequential assessment and started to validate it. The model comprises assessment factors, mechanism factors and learning effects. The purpose of this study was to continue the validation process. For stringency, we focused on a subset of assessment factor–learning effect associations that featured least commonly in a baseline qualitative study. Our aims were to determine whether these uncommon associations were operational in a broader but similar population to that in which the model was initially derived. METHODS A cross-sectional survey of 361 senior medical students at one medical school was undertaken using a purpose-made questionnaire based on a grounded theory and comprising pairs of written situational tests. In each pair, the manifestation of an assessment factor was varied. The frequencies at which learning effects were selected were compared for each item pair, using an adjusted alpha to assign significance. The frequencies at which mechanism factors were selected were calculated. RESULTS There were significant differences in the learning effect selected between the two scenarios of an item pair for 13 of this subset of 21 uncommon associations, even when a p-value of < 0.00625 was considered to indicate significance. Three mechanism factors were operational in most scenarios: agency; response efficacy, and response value. CONCLUSIONS For a subset of uncommon associations in the model, the role of most assessment factor–learning effect associations and the mechanism factors involved were supported in a broader but similar population to that in which the model was derived. Although model validation is an ongoing process, these results move the model one step closer to the stage of usefully informing interventions. Results illustrate how factors not typically included in studies of the learning effects of assessment could confound the results of interventions aimed at using assessment to influence learning.Stellenbosch UniversityPublishers' Versio

A model of the pre-assessment learning effects of summative assessment in medical education

It has become axiomatic that assessment impacts powerfully on student learning. However, surprisingly little research has been published emanating from authentic higher education settings about the nature and mechanism of the pre-assessment learning effects of summative assessment. Less still emanates from health sciences education settings. This study explored the pre-assessment learning effects of summative assessment in theoretical modules by exploring the variables at play in a multifaceted assessment system and the relationships between them. Using a grounded theory strategy, in-depth interviews were conducted with individual medical students and analyzed qualitatively. Respondents’ learning was influenced by task demands and system design. Assessment impacted on respondents’ cognitive processing activities and metacognitive regulation activities. Individually, our findings confirm findings from other studies in disparate non-medical settings and identify some new factors at play in this setting. Taken together, findings from this study provide, for the first time, some insight into how a whole assessment system influences student learning over time in a medical education setting. The findings from this authentic and complex setting paint a nuanced picture of how intricate and multifaceted interactions between various factors in an assessment system interact to influence student learning. A model linking the sources, mechanism and consequences of the pre-assessment learning effects of summative assessment is proposed that could help enhance the use of summative assessment as a tool to augment learning

Patterns in clinical students’ self-regulated learning behavior: a Q-methodology study

Students feel insufficiently supported in clinical environments to engage in active learning and achieve a high level of self-regulation. As a result clinical learning is highly demanding for students. Because of large differences between students, supervisors may not know how to support them in their learning process. We explored patterns in undergraduate students' self-regulated learning behavior in the clinical environment, to improve tailored supervision, using Q-methodology. Q-methodology uses features of both qualitative and quantitative methods for the systematic investigation of subjective issues by having participants sort statements along a continuum to represent their opinion. We enrolled 74 students between December 2014 and April 2015 and had them characterize their learning behavior by sorting 52 statements about self-regulated learning behavior and explaining their response. The statements used for the sorting were extracted from a previous study. The data was analyzed using by-person factor analysis to identify clusters of individuals with similar sorts of the statements. The resulting factors and qualitative data were used to interpret and describe the patterns that emerged. Five resulting patterns were identified in students' self-regulated learning behavior in the clinical environment, which we labelled: Engaged, Critically opportunistic, Uncertain, Restrained and Effortful. The five patterns varied mostly regarding goals, metacognition, communication, effort, and dependence on external regulation for learning. These discrete patterns in students' self-regulated learning behavior in the clinical environment are part of a complex interaction between student and learning context. The results suggest that developing self-regulated learning behavior might best be supported regarding individual students' need

Using a Smartphone App and Coaching Group Sessions to Promote Residents' Reflection in the Workplace

Item does not contain fulltextPROBLEM: Reflecting on workplace-based experiences is necessary for professional development. However, residents need support to raise their awareness of valuable moments for learning and to thoughtfully analyze those learning moments afterwards. APPROACH: From October to December 2012, the authors held a multidisciplinary six-week postgraduate training module focused on general competencies. Residents were randomly assigned to one of four conditions with varying degrees of reflection support; they were offered (1) a smartphone app, (2) coaching group sessions, (3) a combination of both, or (4) neither type of support. The app allowed participants to capture in real time learning moments as a text note, audio recording, picture, or video. Coaching sessions held every two weeks aimed to deepen participants' reflection on captured learning moments. Questionnaire responses and reflection data were compared between conditions to assess the effects of the app and coaching sessions on intensity and frequency of reflection. OUTCOMES: Sixty-four residents participated. App users reflected more often, captured more learning moments, and reported greater learning progress than nonapp users. Participants who attended coaching sessions were more alert to learning moments and pursued more follow-up learning activities to improve on the general competencies. Those who received both types of support were most alert to these learning moments. NEXT STEPS: A simple mobile app for capturing learning moments shows promise as a tool to support workplace-based learning, especially when combined with coaching sessions. Future research should evaluate these tools on a broader scale and in conjunction with residents' and students' personal digital portfolios

Context matters when striving to promote active and lifelong learning in medical education

Where do we stand now?In the 30 years that have passed since The Edinburgh Declaration on Medical Education, we have made tremendous progress in research on fostering self-directed and independent study' as propagated in this declaration, of which one prime example is research carried out on problem-based learning. However, a large portion of medical education happens outside of classrooms, in authentic clinical contexts. Therefore, this article discusses recent developments in research regarding fostering active learning in clinical contexts. Self-regulated, lifelong learning in medical educationClinical contexts are much more complex and flexible than classrooms, and therefore require a modified approach when fostering active learning. Recent efforts have been increasingly focused on understanding the more complex subject of supporting active learning in clinical contexts. One way of doing this is by using theory regarding self-regulated learning (SRL), as well as situated learning, workplace affordances, self-determination theory and achievement goal theory. Combining these different perspectives provides a holistic view of active learning in clinical contexts. Entry to practice, vocational training and continuing professional developmentResearch on SRL in clinical contexts has mostly focused on the undergraduate setting, showing that active learning in clinical contexts requires not only proficiency in metacognition and SRL, but also in reactive, opportunistic learning. These studies have also made us aware of the large influence one's social environment has on SRL, the importance of professional relationships for learners, and the role of identity development in learning in clinical contexts. Additionally, research regarding postgraduate lifelong learning also highlights the importance of learners interacting about learning in clinical contexts, as well as the difficulties that clinical contexts may pose for lifelong learning. However, stimulating self-regulated learning in undergraduate medical education may also make postgraduate lifelong learning easier for learners in clinical contexts. In this article the authors review developments in supporting active learning in medical education with particular emphasis on translating the ideas from a variety of important theories to the clinical contex

The effect of assessments on student motivation for learning and its outcomes in health professions education: A review

Purpose: In health professions education (HPE) the effect of assessments on student motivation for learning and its consequences have been largely neglected. This is problematic because assessments can hamper motivation and psychological well-being. The research questions guiding this review were: How do assessments affect student motivation for learning in HPE? What outcomes does this lead to in which contexts? Method: In October 2020, the authors searched PubMed, Embase, APA PsycInfo, ERIC, CINAHL, and Web of Science Core Collection for “assessments” AND “motivation” AND “health professions education/students.” Empirical papers or literature reviews investigating the effect of assessments on student motivation for learning in HPE using quantitative, qualitative, or mixed methods from January 1, 2010–October 29, 2020, were included. The authors chose the realist synthesis method for data analysis to study the intended and unintended consequences of this complex topic. Assessments were identified as stimulating autonomous or controlled motivation using sensitizing concepts from self-determination theory and data on context-mechanism-outcome were extracted. Results: Twenty-four of 15,291 articles were ultimately included. Assessments stimulating controlled motivation seemed to have negative outcomes. An example of an assessment that stimulates controlled motivation is one that focuses on factual knowledge (context), which encourages studying only for the assessment (mechanism) and results in surface learning (outcome). Assessments stimulating autonomous motivation seemed to have positive outcomes. An example of an assessment that stimulates autonomous motivation is one that is fun (context), which through active learning (mechanism) leads to higher effort and better connection with the material (outcome). Conclusions: These findings indicate that students strategically learned what was expected to appear in assessments at the expense of what was needed in practice. Therefore, health professions educators should rethink their assessment philosophy and practices and introduce assessments that are relevant to professional practice and stimulate genuine interest in the content