Dataset Information

Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial.

ABSTRACT:

Introduction

Online multiple-choice question (MCQ) quizzes are popular in medical education due to their ease of access and ability for test-enhanced learning. However, a general lack of motivation among students often results in decreasing usage over time. We aim to address this limitation by developing Telegram Education for Surgical Learning and Application Gamified (TESLA-G), an online platform for surgical education that incorporates game elements into conventional MCQ quizzes.

Methods and analysis

This online, pilot randomised control trial will be conducted over 2 weeks. Fifty full-time undergraduate medical students from a medical school in Singapore will be recruited and randomised into an intervention group (TESLA-G) and an active control group (non-gamified quizzing platform) with a 1:1 allocation ratio, stratified by year of study.We will evaluate TESLA-G in the area of endocrine surgery education. Our platform is designed based on Bloom's taxonomy of learning domains: questions are created in blocks of five questions per endocrine surgery topic, with each question corresponding to one level on Bloom's taxonomy. This structure promotes mastery while boosting student engagement and motivation. All questions are created by two board-certified general surgeons and one endocrinologist, and validated by the research team. The feasibility of this pilot study will be determined quantitatively by participant enrolment, participant retention and degree of completion of the quizzes. The acceptability of the intervention will be assessed quantitatively by a postintervention learner satisfaction survey consisting of a system satisfaction questionnaire and a content satisfaction questionnaire. The improvement of surgical knowledge will be assessed by comparing the scores of preintervention and postintervention knowledge tests, which consist of separately created questions on endocrine surgery. Retention of surgical knowledge will be measured using a follow-up knowledge test administered 2 weeks postintervention. Finally, qualitative feedback from participants regarding their experience will be obtained and thematically analysed.

Ethics and dissemination

This research is approved by Singapore Nanyang Technological University (NTU) Institutional Review Boards (Reference Number: IRB-2021-732). All participants will be expected to read and sign a letter of informed consent before they are considered as recruited into the study. This study poses minimal risk to participants. Study results will be published in peer-reviewed open-access journals and presented in conference presentations.

Trial registration number

NCT05520671.

SUBMITTER: Ng MSP

PROVIDER: S-EPMC10410996 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial.

Ng Matthew Song Peng MSP Jabir Ahmad Ishqi AI Ng Tony De Rong TR Ang Yi-Ian YI Chia Jeng Long JL Tan Darren Ngiap Hao DNH Lee James J Mahendran Dinesh Carl Junis DCJ Tudor Car Lorainne L Chia Clement Luck Khng CLK

BMJ open 20230628 6

<h4>Introduction</h4>Online multiple-choice question (MCQ) quizzes are popular in medical education due to their ease of access and ability for test-enhanced learning. However, a general lack of motivation among students often results in decreasing usage over time. We aim to address this limitation by developing Telegram Education for Surgical Learning and Application Gamified (TESLA-G), an online platform for surgical education that incorporates game elements into conventional MCQ quizzes.<h4>M ...[more]

PMID: 37380211

Similar Datasets

Project description:BackgroundCore Surgical Training (CST) is a competitive two-year postgraduate training program in the UK that is scored based on three equally weighted stations: management, clinical and portfolio. Preparing a surgical portfolio can start in medical school, however, there is limited guidance on what forms a competitive portfolio with the majority of advice coming from university resources and national societies which are variable throughout the country. Our aim was to assess the utility of a webinar to educate students and doctors on the CST portfolio to address this disparity.MethodsPre- and post-event questionnaires that included demographic data, 10-point Likert scales to self-report confidence on the understanding of the CST portfolio and its domains, and questions on utilising webinars were distributed to attendees. Pre- and post-event responses were paired, and scores were assessed for normality via the Shapiro-Wilk test; the Mann-Whitney U test was used to assess statistical significance. Cohen's d effect sizes were calculated to report standardised differences between pre-and post-event scores.ResultsA total of 177 participants from over 24 countries responded to both questionnaires. A statistically significant improvement in awareness of how to score maximum points was demonstrated across all nine CST domains (p < 0.0001). Regardless of whether they were UK-based or international, approximately half of the participants stated a preference for a webinar over an in-person format. Interestingly, most attendees did not feel that their university had provided them with adequate information on preparing for a surgical career with over half of the attendees stating that they had to attend events by external organisations to obtain such information.ConclusionsThis study has demonstrated that a webinar can be effectively utilised to educate students and doctors on the various domains of the CST portfolio and how to maximise points in each section. Such events could address the variability of university resources and national societies across the country and provide equal opportunities for students. Further studies that directly compare webinars with in-person events and investigate long-term outcomes, such as success in CST applications, are required.

Dataset Information

Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial.

Introduction

Methods and analysis

Ethics and dissemination

Trial registration number

Publications

Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets