Volume 14, Issue 2 (6-2026)                   jmsthums 2026, 14(2): 1-11 | Back to browse issues page

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Sadoughi H, Khosrorad R, Ghahramani-Asl R. The application of mobile technologies in medical education: Design, implementation and evaluation of a mobile application for medical physics laboratory teaching. jmsthums 2026; 14 (2) :1-11
URL: http://jms.thums.ac.ir/article-1-1466-en.html
1- Department of Medical Physics and Radiology, Faculty of Allied Medical Sciences, North Khorasan University of Medical Sciences, Bojnurd, Iran
2- Department of Health Education, School of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
3- Department of Medical Physics and Radiological Sciences, Faculty of Paramedicine, Sabzevar University of Medical Sciences, Sabzevar, Iran
Abstract:   (30 Views)
Background & Aim: Practical training in medical physics laboratory courses is essential for students of medicine, allied health sciences, and health engineering, and developing an application as an educational tool to enhance learning is important. This study aimed to design, implement, and evaluate a mobile educational application for the medical physics laboratory course.
Methods: This developmental-applied study involved designing and implementing a mobile application for teaching practical concepts in medical physics laboratory courses. The application was evaluated in two stages. First, its face and content validity were assessed by a panel of experts in medical physics, medical education, and educational psychology. Subsequently, students’ satisfaction with the application was evaluated using a researcher-developed questionnaire consisting of 13 items rated on a five-point Likert scale. Questionnaire data were analyzed using descriptive statistics in Microsoft Excel.
Results: The application demonstrated a content validity index (CVI) of 0.89 and a content validity ratio (CVR) of 0.84. In evaluating the application’s performance and effectiveness, the mean satisfaction score among 60 students was 4.64 ± 0.19, indicating high acceptance. The highest score, with a mean of 5.00, was recorded for “innovation and attractiveness of the application,” while the lowest score, 4.42 ± 0.72, was related to “receiving rapid feedback on the experiments.”
Conclusion: This study highlights that mobile educational applications based on learning principles can improve the quality of medical education. These tools provide easy access to educational content, opportunities for repeated learning, personalized learning experiences, and better preparation for laboratory sessions. The findings, along with those of similar studies, demonstrate the potential of mobile technologies to enhance practical medical education.

 
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Type of Study: Research | Subject: Special
Received: 2025/08/28 | Accepted: 2025/12/16 | Published: 2026/10/19

References
1. Chandran VP, Balakrishnan A, Rashid M, Pai Kulyadi G, Khan S, Devi ES, et al. Mobile applications in medical education: A systematic review and meta-analysis. PLoS One. 2022;17(3):e0265927. [DOI:10.1371/journal.pone.0265927]
2. Deng S, Li Z, Ma X, Wei Y, Lyu P, Fan Y. Evaluation of Atlas-Based Mobile Application in Undergraduate Teaching in Oral Histopathology. Healthcare (Basel). 2023;11(14). [DOI:10.3390/healthcare11142087]
3. Martínez F, Tobar C, Taramasco C. Implementation of a Smartphone application in medical education: a randomised trial (iSTART). BMC Med Educ. 2017;17(1):168. [DOI:10.1186/s12909-017-1010-4]
4. Wong AH, Wong LW, Low ICC. Mobile application-assisted graded exercise practical: a remote teaching strategy to promote motivation and experiential learning in exercise physiology. Adv Physiol Educ. 2023;47(2):215-21. [DOI:10.1152/advan.00231.2022]
5. Lindquist A, Johansson P, Petersson G, Saveman BI, Nilsson G. The use of the Personal Digital Assistant (PDA) among personnel and students in health care: a review. Journal of medical Internet research. 2008 Oct 28;10(4):e1038. [DOI:10.2196/jmir.1038]
6. Birt J, Stromberga Z, Cowling M, Moro C. Mobile mixed reality for experiential learning and simulation in medical and health sciences education. Information. 2018 Jan 31;9(2):31. [DOI:10.3390/info9020031]
7. Minichiello A, Armijo D, Mukherjee S, Caldwell L, Kulyukin V, Truscott T, Elliott J, Bhouraskar A. Developing a mobile application‐based particle image velocimetry tool for enhanced teaching and learning in fluid mechanics: A design‐based research approach. Computer applications in engineering education. 2021 May;29(3):517-37. [DOI:10.1002/cae.22290]
8. Marin I, Conci A, Popovici D. Health sector skill alliance for creating innovative and efficient vet programmes and improving the digital skills of medical physics and health professionals. InEDULEARN23 Proceedings 2023 (pp. 640-650). IATED. [DOI:10.21125/edulearn.2023.0266]
9. Taş F, Bolatlı G. A new model in medicine education: smart model education set. Surg Radiol Anat. 2022;44(8):1201-9. [DOI:10.1007/s00276-022-02989-6]
10. Sadati L, Hannani S, Shahri NS, Arabkhazaei A, Arabkhazaei A, Askarkhah A. The effect of the software of the principles of setting up surgical tables on the knowledge and practical skills of the students of operating room technology. Research and Development in Medical Education. 2022;11(1):26-. [DOI:10.34172/rdme.2022.026]
11. Albrecht U-V, Folta-Schoofs K, Behrends M, von Jan U. Effects of Mobile Augmented Reality Learning Compared to Textbook Learning on Medical Students: Randomized Controlled Pilot Study. J Med Internet Res. 2013;15(8):e182. [DOI:10.2196/jmir.2497]
12. Blouin V, Bénard F, Pelletier F, Abdo S, Meloche-Dumas L, Kapralos B, et al. Optimizing the Learner's Role in Feedback: Development of a Feedback-Preparedness Online Application for Medical Students in the Clinical Setting. Cureus. 2023;15(5):e38722. [DOI:10.7759/cureus.38722]
13. Weng TS, Chen XR. Developing a Mobile Application-based System for Enhancing Medical Skill Training. J Adv Med Educ Prof. 2025;13(1):25-35.
14. Rafizadeh M, Safdari R, Shoshtarian Malak J, Alizadeh S. Identification of Preliminary Technical Requirements to Design and Develop Augmented Reality Based Educational App. payavard 2023; 17 (2) :185-199
15. Payavard Salamat. 2023 Jun 1;17(2).‎
16. Ravanbakhsh ME, Najjari B, Bijari B. The effect of mobile application education on learning Community medicine course in internship students of Birjand University of Medical Sciences. Horizon of Medical Education Development. 2022 Aug 23;13(2):49-39.
17. HR, Arabshahi SK, Fata L, Ahmadi F. The educational effects of mobile learning on students of medical sciences: A systematic review in experimental studies. Journal of advances in medical education & professionalism. 2018 Apr;6(2):58.
18. Ryan C, Vanderburg M, Chugh R, Johnston K, Clapperton R, Bond K, Flanders M, James C. Mobile applications in nursing science education: A scoping review with snowballing method. Nurse Educ Today. 2024 Jul;138:106215. doi: 10.1016/j.nedt.2024.106215. Epub 2024 Apr 9. PMID: 38608388. [DOI:10.1016/j.nedt.2024.106215]
19. Tene T, Bonilla García N, Coello-Fiallos D, Borja M, Vacacela Gomez C. A systematic review of immersive educational technologies in medical physics and radiation physics. Frontiers in Medicine. 2024 Oct 10;11:1384799. [DOI:10.3389/fmed.2024.1384799]
20. Latif MZ, Hussain I, Saeed R, Qureshi MA, Maqsood U. Use of Smart Phones and Social Media in Medical Education: Trends, Advantages, Challenges and Barriers. Acta Inform Med. 2019;27(2):133-8. [DOI:10.5455/aim.2019.27.133-138]
21. Mansouri M, Bigdeli S, Dehnad A, Sohrabi Z, Alizadeh S, Keshavarzi MH. Exploring the features of mobile phone application of anatomy in basic medical sciences: a qualitative study. BMC Med Educ. 2020;20(1):231. [DOI:10.1186/s12909-020-02145-x]
22. Muruganantham G. Developing Of E-Content Package By Using ADDIE Model. International Journal of Applied Research. 2015;1(3):52-4.
23. Hayward LM. Integrating web-enhanced instruction into a research methods course: examination of student experiences and perceived learning. Journal of Physical Therapy Education. 2004 Oct 1;18(2):54-65. [DOI:10.1097/00001416-200407000-00008]
24. Kanai S. The effects of using computer assisted instruction incorporating data from motion analysis video in order to improve the ability of physical therapy students to perform observational gait analysis (Doctoral dissertation).
25. McCarthy DM, Formella KT, Ou EZ, Vozenilek JA, Cameron KA, Salzman DH, et al. There's an app for that: Teaching residents to communicate diagnostic uncertainty through a mobile gaming application. Patient Educ Couns. 2022;105(6):1463-9. [DOI:10.1016/j.pec.2021.09.038]

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