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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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 |
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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. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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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 |
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Article |
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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 |
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Ng, Matthew Song Peng |
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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 |
title_short |
Evaluating TESLA-G, a gamified, telegram-delivered, quizzing platform for surgical education in medical students: protocol for a pilot randomised controlled trial |
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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 |
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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 |
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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 |
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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 |
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2023 |
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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 |