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Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial
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 deve...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410996/ https://www.ncbi.nlm.nih.gov/pubmed/37380211 http://dx.doi.org/10.1136/bmjopen-2022-068740 |
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author | Ng, Matthew Song Peng Jabir, Ahmad Ishqi Ng, Tony De Rong Ang, Yi-Ian Chia, Jeng Long Tan, Darren Ngiap Hao Lee, James Mahendran, Dinesh Carl Junis Tudor Car, Lorainne Chia, Clement Luck Khng |
author_facet | Ng, Matthew Song Peng Jabir, Ahmad Ishqi Ng, Tony De Rong Ang, Yi-Ian Chia, Jeng Long Tan, Darren Ngiap Hao Lee, James Mahendran, Dinesh Carl Junis Tudor Car, Lorainne Chia, Clement Luck Khng |
author_sort | Ng, Matthew Song Peng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10410996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-104109962023-08-10 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 Jabir, Ahmad Ishqi Ng, Tony De Rong Ang, Yi-Ian Chia, Jeng Long Tan, Darren Ngiap Hao Lee, James Mahendran, Dinesh Carl Junis Tudor Car, Lorainne Chia, Clement Luck Khng BMJ Open Medical Education and Training 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. BMJ Publishing Group 2023-06-28 /pmc/articles/PMC10410996/ /pubmed/37380211 http://dx.doi.org/10.1136/bmjopen-2022-068740 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Medical Education and Training Ng, Matthew Song Peng Jabir, Ahmad Ishqi Ng, Tony De Rong Ang, Yi-Ian Chia, Jeng Long Tan, Darren Ngiap Hao Lee, James Mahendran, Dinesh Carl Junis Tudor Car, Lorainne Chia, Clement Luck Khng Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial |
title | Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial |
title_full | Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial |
title_fullStr | Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial |
title_full_unstemmed | Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial |
title_short | Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial |
title_sort | evaluating tesla-g, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial |
topic | Medical Education and Training |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410996/ https://www.ncbi.nlm.nih.gov/pubmed/37380211 http://dx.doi.org/10.1136/bmjopen-2022-068740 |
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