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...

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Main Authors: 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, Car, Lorainne Tudor, Chia, Clement Luck Khng
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/171066
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-171066
record_format dspace
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Medical Education and Training
Surgery
spellingShingle Science::Medicine
Medical Education and Training
Surgery
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
Car, Lorainne Tudor
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
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.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
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
Car, Lorainne Tudor
Chia, Clement Luck Khng
format Article
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
Car, Lorainne Tudor
Chia, Clement Luck Khng
author_sort Ng, Matthew Song Peng
title 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_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_sort evaluating tesla-g, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial
publishDate 2023
url https://hdl.handle.net/10356/171066
_version_ 1781793701560844288
spelling sg-ntu-dr.10356-1710662023-10-15T15:37:58Z 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 Car, Lorainne Tudor Chia, Clement Luck Khng Lee Kong Chian School of Medicine (LKCMedicine) Yong Loo Lin School of Medicine, NUS Khoo Teck Puat Hospital Science::Medicine Medical Education and Training Surgery 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. Nanyang Technological University Published version As of August 2021, this study has been funded by the Games for Health Innovations Centre (ALIVE) Serious Games Grant (Grant Number: SGG20/SN02). 2023-10-11T02:33:51Z 2023-10-11T02:33:51Z 2023 Journal Article Ng, M. S. P., Jabir, A. I., Ng, T. D. R., Ang, Y., Chia, J. L., Tan, D. N. H., Lee, J., Mahendran, D. C. J., Car, L. T. & Chia, C. L. K. (2023). Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial. BMJ Open, 13(6), e068740-. https://dx.doi.org/10.1136/bmjopen-2022-068740 2044-6055 https://hdl.handle.net/10356/171066 10.1136/bmjopen-2022-068740 37380211 2-s2.0-85163586860 6 13 e068740 en SGG20/SN02 BMJ Open © 2023 Author(s) (or their employer(s)). Published by BMJ. 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/. application/pdf