Document Type : Original Article


1 College of Nursing, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Gorimedu, Dhanvantri Nagar, Puducherry, India

2 Department of Nursing Foundation, Faculty of Nursing, Sri Ramachandra Institute of Higher Education and Research (DU), Porur, Chennai, Tamil Nadu, India

3 Department of Medical Education, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Gorimedu, Dhanvantri Nagar, Puducherry, India

4 Department of Pharmacy Practice, Sri Ramachandra Institute of Higher Education and Research (DU), Porur, Chennai, Tamil Nadu, India


BACKGROUND: Mobile phones have become a widely accepted learning mode due to the impact
of COVID‑19. This study explores the mobile technology acceptance, among nursing students at
selected educational institutions in South India.
MATERIALS AND METHODS: Quantitative cross‑sectional descriptive design. First‑year 176 B.Sc.
nursing students who underwent blended learning were selected by the purposive sampling method.
The tool “Technology Acceptance Model” was used to collect responses. Bivariate analysis was used
to determine the relationship between the demographic and study‑related variables with the mobile
technology acceptance using SPSS version 25.0.
RESULTS: The majority 73.9% of the students belonged to the age group of 18–19 years,
females 76.7% and, 98.9% were unmarried. Among the constructs of TAM, a mean (SD) value of
22.08 (2.26) was found for material (mobile device audio/video) characteristics the mean (SD) value
was 22.08 (2.26), attitude about use 17.58 (1.95), behavioral intention 17.46 (1.78) and system
characteristics 17.21 (2.27). The mobile technology acceptance revealed that 126 (71.6%) strongly
agreed, 49 (27.8%) agreed, and 1 (0.6%) was neutral with a mean (SD) of 105.19 (8.68), respectively.
A positive correlation was found between the system characteristics, material characteristics, perceived
ease to use, perceived usefulness, attitude about the use, behavioral intention with a P value <0.001.
There was a statistically significant association between Mobile technology acceptance and time spent
by the students for independent studies shown the Chi‑square value of 12.7, with P value <0.05.
CONCLUSION: Nursing students had a positive acceptance and behavior toward smartphone use.


1. Abidin NZ, Tho S. The development of an innovative resonance
experiment using smartphones with free mobile software
applications for tertiary education. Int J Educ Dev 2018;14:164–76.
2. Maatuk AM, Elberkawi EK, Aljawarneh S, Rashaide H, Alharbi H.
The COVID‑19 pandemic and E‑learning: Challenges and
opportunities from the perspective of students and instructors.
J Comput High Educ 2022;34:21‑38.
3. Vandali V. Nursing profession: A review. IJNER 2017;5:444‑7.
4. Gomaa EM, Ali ZH, Abd‑Elgalil H. Effect of mobile‑based
learning on second year nursing students’ clinical competence
and motivation. Nurs Health Sci 2020;9:27‑37.
5. Epstein I, Bertram M. Using students’ smartphones to learn
a nursing skill: Students perspectives. J Nurs Educ Pract
6. Silver L. Spring 2018 Global Attitudes Survey. Smartphone
ownership is growing rapidly around the world, but not always
equally. Paw Research Centre. 2019. Available from: https://
7. Baghcheghi N, Koohestani HR. The relationship between the
willingness to mobile learning and educational achievements
in health‑care professional students. J Educ Health Promot
8. Huang TH, Liu F, Chen LC, Tsai CC. The acceptance and impact
of Google Classroom integrating into a clinical pathology course
for nursing students: A technology acceptance model approach.
PLoS One 2021;16:e0247819.
9. Chakravorty M. Big beats on smartphones, semiconductors and
streaming service. Deloitte press release TMT Predictions for
India. 2022. Available from:
10. Ahaskar A. 79% of students in India use smartphones for online
learning. Hindustan Times, 2022. Available from: https://www.‑indian-students‑rely‑on‑smartpho
11. Kodali PB, Das S. Acceptance of m‑health technologies among
Auxiliary Nurse midwives in Andhra Pradesh, India: A mixed
method study. J Med Sci 2021;25:1052‑60.
12. PaiRR, Alathur S. Predicting mobile health technology acceptance
by the Indian rural community: A quantitative study. Int J Electron
Gov Res 2019;15:37‑62.
13. Poreddi V, Katyayini BV, Reddy S, Manjunatha N, Naveen C,
Suresh BM. Nursing interns’ perception of telenursing:
Implications for nursing education. Telehealth Med Today
14. Suresh BM. Nursing interns’ perception of telenursing:
Implications for nursing education. Telehealth Med Today
15. Iqbal MZ, Alradhi HI, Alhumaidi AA, Alshaikh KH, AlObaid AM,
Alhashim MT, et al. Telegram as a tool to supplement online
medical education during COVID‑19 crisis. Acta Inform Med
16. Andujar A, Ramiro MSS, Martinez MSC. Integrating flipped
foreign language learning through mobile devices: Technology
acceptance and flipped learning experience. Sustainability
17. Keelery S. Mobile internet user penetration India 2010‑2040. 2021.
Available from:
18. Singh M, Adebayo SO, Saini M, Singh J. Indian Government
E‑learning initiatives in response to COVID‑19 crisis: A case study
on online learning in Indian higher education system. Educ Inf
Technol (Dordr) 2021;26:7569‑607.
19. Chen B, Wang Y, Xino L, Xu C, Shen Y, Quin Q, et al. Effects
of mobile learning for nursing students in clinical education:
A meta‑analysis. Nurse Educ Today 2021;97:104706.
20. Lee H, Min H, Oh SM, Shim K. Mobile technology in
undergraduate nursing education: A systematic review. Healthc
Inform Res 2018;24:97‑108.
21. Thapa P, Bhandari SL, Pathk S. Nursing students’ attitude on the
practice of e‑learning: A cross‑sectional survey amid COVID‑19in
Nepal. PLoS One 2021;16:e0253651.
22. Halasa S, Abusulin N, Rayyan M, Constantino RE, Nassar O,
Amra H, et al. Comparing student achievement in traditional
learning with a combination of blended and flipped learning.
Nurs Open 2020;7:1129‑38.
23. Salameh B, Ewaisn A, Salareh O. Integrating M‑learning
in teaching ECG reading and arrhythmia management
for undergraduate nursing students. Int J Internet Mob
24. Ng SF, Hassan NSIC, Nor NHM, Malek NAA. The relationship
between smartphone use and academic performance: A case of
students in a Malaysian tertiary Institution. Malays Online J Educ
Technol 2017;5:58‑70.
25. Chen B, Yang T, Wang Y, Xiao L, Xu C, Shen Y, et al. Nursing
students’ attitudes toward mobile learning: An integrative review.
Int J Nurs Sci 2021;8:477‑85.
26. Hasanah H, Malik MN. Blended learning in improving students’
critical thinking and communication skills at university. Cypriot
J Educ Sci 2020;15:1295–306.
27. Chase TJG, Julius A, Chandan JS, Powell E, Hall CS, Phillips BL,
et al. Mobile learning in medicine: An evaluation of attitudes and
behaviors of medical students. BMC Med Educ 2018;18:152.
28. Kabir H, Tonmon TT, Hasan MK, Biswas L, Chowdhury MAH, Islam MD, et al. Association between preference and e‑learning
readiness among the Bangladeshi female nursing students in the
COVID‑19 pandemic: A cross‑sectional study. Bull Natl Res Cent
29. Kim JH, Park H. Effects of smartphone‑based Mobile learning in
nursing education: A systematic review and meta‑analysis. Asian
Nurs Res (Korean Soc Nurs Sci) 2019;13:20–9.
30. Nikpeyma N, Zolfaghari M, Mohammadi A. Barriers and
facilitators of using mobile devices as educational tool by nursing
students: A qualitative research. BMC Nurs 2021;20:226.
31. Lall P, Rees R, Law GCY, Dunleavy G, Cotič Ž, Car J. Influences
on the implementation of mobile learning for medical and nursing
education: Qualitative systematic review by the digital health
education collaboration. J Med Internet Res 2019;21:e12895.
32. Sung YT, Chang KE, Liu TC. The effects of integrating mobile
devices with teaching and learning on students’ learning
performance: A meta‑analysis and research synthesis. Comput
Educ 2016;94:252‑75.
33. George TP, DeCristofaro C. Use of smartphones with
undergraduate nursing students. J Nurs Educ 2016;55:411–5.
34. Ramjan LM, Salamonson Y, Batt S, Kong A, McGrath B,
Richards G, et al. The negative impact of smartphone usage on
nursing students: An integrative literature review. Nurse Educ
Today 2021;102:104909.
35. Mather CA, Tori K. 2000 year of the nurse: Covid‑19 highlights
nurses’ use of digital health technology is a legitimate nursing
functionAust. J.Clin. Educ. 2021; 9:47‑51.
36. Criollo‑CS, Guerrero‑Arias, A, Jaramillo‑Alcázar A, Luján‑Mora S.
Mobile learning technologies for education: Benefits and pending
issues. Appl Sci 2021;11:4111.