ABSTRACT
We implemented an online Resident-as-Teacher curriculum for all incoming residents (PGY1s) to provide them with a basic foundation for effective teaching in the clinical learning environment. The curriculum consisted of 5 asynchronous modules delivered via the web from 2017-2021. Prior to starting the course, the PGY1s completed a self-assessment of their teaching ability (pre-test) and then again 7-8 months after completing the course (post-test). Analysis of the paired data from 421 PGY1s showed a statistically significant improvement in the self-ratings of their teaching from pre-test to post-test (p < 0.001). Our findings suggest that an online Resident-as-Teacher curriculum can produce lasting benefits in new residents' self-confidence as educators.
ABSTRACT
Background: Didactics play a key role in medical education. There is no standardized didactic evaluation tool to assess quality and provide feedback to instructors. Cognitive load theory provides a framework for lecture evaluations. We sought to develop an evaluation tool, rooted in cognitive load theory, to assess quality of didactic lectures. Methods: We used a modified Delphi method to achieve expert consensus for items in a lecture evaluation tool. Nine emergency medicine educators with expertise in cognitive load participated in three modified Delphi rounds. In the first two rounds, experts rated the importance of including each item in the evaluation rubric on a 1 to 9 Likert scale with 1 labeled as "not at all important" and 9 labeled as "extremely important." In the third round, experts were asked to make a binary choice of whether the item should be included in the final evaluation tool. In each round, the experts were invited to provide written comments, edits, and suggested additional items. Modifications were made between rounds based on item scores and expert feedback. We calculated descriptive statistics for item scores. Results: We completed three Delphi rounds, each with 100% response rate. After Round 1, we removed one item, made major changes to two items, made minor wording changes to nine items, and modified the scale of one item. Following Round 2, we eliminated three items, made major wording changes to one item, and made minor wording changes to one item. After the third round, we made minor wording changes to two items. We also reordered and categorized items for ease of use. The final evaluation tool consisted of nine items. Conclusions: We developed a lecture assessment tool rooted in cognitive load theory specific to medical education. This tool can be applied to assess quality of instruction and provide important feedback to speakers.
ABSTRACT
Lectures are a common instructional method in medical education. Understanding the cognitive processes and theories involved in learning is essential for lecturers to be effective. Cognitive load theory is one theory that is becoming increasingly recognized in medical education and addresses the appropriate use of one's working memory. Memory is essential to knowledge acquisition. Two types of memory can be considered, working memory (processing of information) and long-term memory (storage of information). Working memory has a limited capacity. Cognitive load refers to the amount of information processing activity imposed on working memory and can be divided into three domains: intrinsic, extraneous, and germane. By attending to cognitive load, educators can promote learning. This paper highlights various ways of improving cognitive load for learners during lecture-based instruction by minimizing extraneous load, optimizing intrinsic load, and promoting germane load.
ABSTRACT
Live-tweeting during educational presentations is typically learner-generated and can lead to misquoted information. Presenter curated tweets have not been well described. We created Presenter Initiated and Generated Live Educational Tweets (PIGLETs) with the goal to broaden the reach of educational conferences. We hypothesized that using PIGLETs would increase the reach and exposure of our material. We developed a prospective single-arm intervention study performed during the "Not Another Boring Lecture" workshops presented at two national conferences in 2015. Presenters tweeted PIGLETs linked to unique hashtags #NotAnotherBoringLecture and #InnovateMedEd. Analytic software was used to measure the following outcomes: (1) number of tweets published by presenters versus learners, (2) reach (users exposed to content containing the hashtag), and (3) exposure (total number of times content was delivered). One hundred and twenty-six participants attended the workshops. A total of 636 tweets (including retweets) were sent by presenters containing the study hashtags, compared with 162 sent by learners. #NotAnotherBoringLecture reached 47,200 users and generated 136,400 impressions; #InnovateMedEd reached 36,400 users and generated 79,100 impressions. PIGLETs allowed presenters to reach a significant number of learners, as well as control the content delivered through Twitter. PIGLETs can be used to augment educational sessions beyond the physical confines of the classroom.
Subject(s)
Information Dissemination , Internet , Social Media , Biomedical Research , Humans , Prospective Studies , SoftwareABSTRACT
INTRODUCTION: Dissemination of educational research is critical to improving medical education, promotion of faculty and ultimately patient care. The objective of this study was to identify the top 25 cited education articles in the emergency medicine (EM) literature and the top 25 cited EM education articles in all journals, as well as report on the characteristics of the articles. METHODS: Two searches were conducted in the Web of Science in June 2016 using a list of education-related search terms. We searched 19 EM journals for education articles as well as all other literature for EM education-related articles. Articles identified were reviewed for citation count, article type, journal, authors, and publication year. RESULTS: With regards to EM journals, the greatest number of articles were classified as articles/reviews, followed by research articles on topics such as deliberate practice (cited 266 times) and cognitive errors (cited 201 times). In contrast in the non-EM journals, research articles were predominant. Both searches found several simulation and ultrasound articles to be included. The most common EM journal was Academic Emergency Medicine (n = 18), and Academic Medicine was the most common non-EM journal (n=5). A reasonable number of articles included external funding sources (6 EM articles and 13 non-EM articles.). CONCLUSION: This study identified the most frequently cited medical education articles in the field of EM education, published in EM journals as well as all other journals indexed in Web of Science. The results identify impactful articles to medical education, providing a resource to educators while identifying trends that may be used to guide EM educational research and publishing efforts.
