Evaluating TESLA-G, a gamified, Telegram-delivered, quizzing platform for surgical education in medical students: a protocol for a pilot randomised controlled trial
Ng, M. S. P.; Jabir, A. I.; Ng, T. D. R.; Ang, Y.-I.; Chia, J. L.; Tan, D. N. H.; Lee, J.; Mahendran, D. C. J.; Tudor Car, L.; Chia, C. L. K.
Show abstract
IntroductionOnline 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 analysisThis online, pilot randomised control trial will be conducted over two weeks. Fifty full-time undergraduate medical students 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 Blooms taxonomy of learning domains: questions are created in blocks of 5 questions per endocrine surgery topic, with each question corresponding to one level on Blooms 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 and acceptability of the pilot study will be assessed by participant recruitment and retention rates, acceptability of the intervention, adherence and task completion rate, fidelity of the intervention delivery, and perception of the intervention. The effectiveness of the intervention (TESLA-G) compared to the control will be assessed by improvement in knowledge from pre- to post-intervention, learner satisfaction post-intervention, and retention of knowledge 2 weeks post-intervention. Ethics and disseminationThis research is approved by Singapore Nanyang Technological University (NTU) Institutional Review Boards (Reference Number: IRB-2021-732). 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 numberNCT05520671 Strengths and limitations of this studyO_LIThis study contributes to the growing body of literature evaluating the use of test-based learning, messaging apps and gamification in medical education. C_LIO_LIThe gamified, Telegram-delivered, surgical education-focused, quizzing intervention in this study will be structured in line with Blooms taxonomy. C_LIO_LIWe will use quantitative and qualitative approaches to assess our intervention with the aim of informing a future randomised controlled trial. C_LIO_LIA potential limitation of this study is that 14 days of intervention may be insufficient to observe improvements in surgical knowledge. C_LIO_LIThe intervention will focus on endocrine surgery and the findings may not be generalisable to other surgical or medical subspecialties. C_LI
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Evaluating user experience with immersive technology in simulation-based education: a modified Delphi study with qualitative analysis 97%
- Introducing the 4Ps Model of Transitioning to Distance Learning: a convergent mixed methods study conducted during the COVID-19 pandemic 96%
- Using a design-based research approach to develop a technology-supported physical education course to increase the physical activity levels of university students: Study protocol paper 96%
Similar papers in this journal
- Large language models for generating medical examinations: systematic review 96%
- Student self-assessment: feasibility, advantages and limitations Example of a workshop for trainee surgeons using a suture score 96%
- Improving capacity for advanced training in obstetric surgery: Evaluation of a blended learning approach 95%
Similar papers in this journal
- Evaluating a first fully automated interview grounded in Multiple Mini Interview (MMI) methodology: results from a feasibility study 94%
- Face-to-face interventions to encourage enrolment in cardiac rehabilitation; a scoping review protocol 93%
- The Effects of Pericapsular nerve group (PENG) block on Postoperative Recovery in Elderly Patients with Hip fracture: a study protocol for randomized, parallel controlled, double-blind trial 92%
Similar papers in this journal
- Design and Formative Evaluation of a Voice-based Virtual Coach for Problem-Solving Treatment 93%
- Improving emergency department patient-doctor conversation through an artificial intelligence symptom taking tool: an action-oriented design pilot study 93%
- The potential for digital patient symptom recording through symptom assessment applications to optimize patient flow and reduce waiting times in Urgent Care Centers: a simulation study 93%
Similar papers in this journal
- Improving Patient Engagement in Phase 2 Clinical Trials with a Trial-specific Patient Decision Aid (tPDA): A Development and Usability Study 94%
- Artificial Intelligence (AI)-based Chatbots in Promoting Health Behavioral Changes: A Systematic Review 94%
- Assessing ChatGPT’s Mastery of Bloom’s Taxonomy using psychosomatic medicine exam questions 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.