Skip to main content

[]

Intended for healthcare professionals
Skip to main content
Restricted access
Research article
First published online February 10, 2023

Students’ perceptions of smartphone use: Institutional policies in Assam, India

Abstract

Many educational institutions lack well-defined, targeted policies to address problems relating to student smartphone use on campus. In this study, we analyse the patterns of student smartphone use on academic campuses and propose a range of policy measures to address the problems arising from such use. Our research, which draws on primary data collected through a field survey in Assam, India, is one of very few studies in the field to focus on northeast India. Inspired by the literature review, which revealed empirical findings on student smartphone use behaviour, we create and evaluate four policy alternatives: a complete ban on smartphones in educational institutions, the use of student smartphones with proper training, the use of specific smartphones with/without particular applications, and the development of learning platforms and study materials to regulate student smartphone use. Our results show that students who use smartphones prioritise ‘information collection’, although the information they collect may not relate to their studies. We argue that the best policy would be to reduce attention deficiencies by allowing students to use smartphones on campus but not in classrooms. In addition, both teachers and students should receive necessary training on effective smartphone use to exchange academic information.

Get full access to this article

View all access and purchase options for this article.

References

Aagaard J (2015) Drawn to distraction: a qualitative study of off-task use of educational technology. Computers & Education 87: 90–97.
Arndt S, Asher G, Knox J, et al. (2019) Between the blabbering noise of individuals or the silent dialogue of many: a collective response to postdigital science and education (Jandrić et al. 2018). Postdigital Science and Education 1(2): 446–474.
ASER Centre (2020) Annual status of education report 2020 wave-1 (rural). Report for ASER. Available at: http://img.asercentre.org/docs/ASER/2021/ASER/2020/wave/1/-/v2/aser2020wave1report_feb1.pdf. (accessed 19 June 2021).
Assam State Portal (2021) Assam at a Glance. Available at: https://des.assam.gov.in/portlets/assam-at-a-glance. (accessed 19 June 2021).
Baker WM, Lusk EJ, Neuhauser KL (2012) On the use of cell phones and other electronic devices in the classroom: evidence from a survey of faculty and students. Journal of Education for Business 87(5): 275–289.
Berking P, Haag J, Archibald T, et al. (2012) Mobile learning: not just another delivery method. In: Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC). Orlando, FL: I/ITSEC, pp. 1–30.
Boruah PJ (2020) Mobile learning and its impact on academic achievement among higher secondary students with special reference to Sibsagar District, Assam. Journal of Xi’an University of Architecture & Technology 12(4): 3905–3907.
Bristow D, Titus D, Harris G, et al. (2017) The marketing concept and BYOD in the university classroom. Atlantic Marketing Journal 6(1): 93–110.
Buchanan R (2011) Paradox, promise and public pedagogy: implications of the federal government’s digital education revolution. Australian Journal of Teacher Education 36(2): 67–78.
Calafell G, Banqué N, Viciana S (2019) Purchase and use of new technologies among young people: Guidelines for sustainable consumption education. Sustainability 11(6): 1541.
Chakraborty S (2006) Mobile Phone Usage Patterns Amongst University Students: A Comparative Study between India and USA. Master’s Degree Dissertation, University of North Carolina at Chapel Hill, Chapel Hill.
Cheng G, Guan Y, Chau J (2016) An empirical study towards understanding user acceptance of bring your own device (BYOD) in higher education. Australasian Journal of Educational Technology 32(4): 1–17.
Cheong PH, Shuter R, Suwinyattichaiporn T (2016) Managing student digital distractions and hyperconnectivity: communication strategies and challenges for professorial authority. Communication Education 65(3): 272–289.
Davey S, Davey A (2014) Assessment of smartphone addiction in Indian adolescents: a mixed method study by systematic-review and meta-analysis approach. International Journal of Preventive Medicine 5(12): 1500–1511.
Davis FD (1986) A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. PhD Thesis, Massachusetts Institute of Technology, Massachusett.
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3): 319–340.
Deka G (2019) Is mobile phone indispensable in colleges? A study on undergraduate students of commerce. International Research Journal of Engineering and Technology 6(1): 1376–1385.
Emerick E, Caldarella P, Black SJ (2019) Benefits and distractions of a social media as tools for undergraduate student learning. College Student Journal 53(3): 265–276.
Express News Service (2018) Strict Ban on Use of Mobile Phones during College Hours. Chennai: New Indian Express. Available at: https://www.newindianexpress.com/cities/bengaluru/2018/nov/24/strict-ban-on-use-of-mobile-phones-during-college-hours-1902617.html. (accessed 6 May 2021).
Fernández MJL, Fernández JG, Aguilar SR, et al. (2013) Control of attendance applied in higher education through mobile NFC technologies. Expert Systems with Applications 40(11): 4478–4489.
Flanigan AE, Babchuk WA (2020) Digital distraction in the classroom: exploring instructor perceptions and reactions. Teaching in Higher Education 27(3): 352–370.
Galanek JD, Gierdowski DC, Brooks DC (2018) ECAR Study of Undergraduate Students and Information Technology. Research Report. Louisville, CO: EDUCAUSE Center for Analysis and Research.
Jackson LD (2013) Is mobile technology in the classroom a helpful tool or a distraction? A report of university students’ attitudes, usage practices, and suggestions for policies. The International Journal of Technology, Knowledge and Society 8(5): 129–140.
Jalil J, Sabir S (2019) Mobile phone usage and distraction in learning sessions. Pakistan Armed Forces Medical Journal 69(1): 54–59.
Kakati R, Narayan R (2017) A study on mobile phone usage and its effects on students. ASM’s International E-Journal on Ongoing Research in Management and IT 12: 181–189.
Kang YM, Cho C, Lee S (2011) Analysis of factors affecting the adoption of smartphones. In: First International Technology Management Conference. New York City, NY: IEEE, pp. 919–925.
Kim I, Kim R, Kim H, et al. (2019) Understanding smartphone usage in college classrooms: a long-term measurement study. Computers & Education 141: 103611.
Kobus MB, Rietveld P, Van Ommeren JN (2013) Ownership versus on-campus use of mobile IT devices by university students. Computers & Education 68: 29–41.
Krull G, Duart JM (2017) Research trends in mobile learning in higher education: a systematic review of articles (2011–2015). The International Review of Research in Open and Distributed Learning 18(7).
Lancaster AL (2018) Student learning with permissive and restrictive cell phone policies: a classroom experiment. International Journal for the Scholarship of Teaching and Learning 12(1).
Langmia K, Glass A (2014) Coping with smart phone distractions in a college classroom. Teaching Journalism & Mass Communication 4(1): 13–23.
Lepp A, Barkley JE, Karpinski AC (2014) The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Computers in Human Behavior 31: 343–350.
Liu Y, Han S, Li H (2010) Understanding the factors driving m-learning adoption: A literature review. Campus-Wide Information Systems 27(4): 210–226.
Mendoza JS, Pody BC, Lee S, et al. (2018) The effect of cellphones on attention and learning: The influences of time, distraction, and nomophobia. Computers in Human Behavior 86: 52–60.
Moreira F, Pereira CS, Durão N, et al. (2018) A comparative study about mobile learning in Iberian Peninsula Universities: are professors ready? Telematics and Informatics 35(4): 979–992.
Nath K, Naskar S, Victor R (2016) A cross-sectional study on the prevalence, risk factors, and ill effects of internet addiction among medical students in Northeastern India. The Primary Care Companion for CNS Disorders 18(2).
Opoku F, Mohammed D, Musah AAI, et al. (2014) Evaluation of policies on ban of mobile phone usage by SHS students on campuses using an analytical hierarchy process (AHP). ADRRI Journal 10(10): 1–16.
Panova T, Carbonell X, Chamarro A, et al. (2020) Specific smartphone uses and how they relate to anxiety and depression in university students: a cross-cultural perspective. Behaviour & Information Technology 39(9): 944–956.
Park Y, Chen JV (2007) Acceptance and adoption of the innovative use of smartphone. Industrial Management & Data Systems 107(9): 1349–1365.
Peters MA, White EJ, Grierson E, et al. (2018) Ten theses on the shift from (static) text to (moving) image. Open Review of Educational Research 5(1): 56–94.
Pimmer C, Mateescu M, Gröhbiel U (2016) Mobile and ubiquitous learning in higher education settings: a systematic review of empirical studies. Computers in Human Behavior 63: 490–501.
Redner R, Lang LM, Brandt KP (2020) Evaluation of an electronics intervention on electronics use in a college classroom. Behavior Analysis: Research and Practice 20(1): 4–12.
Rogers EM (1995) Diffusion of Innovations. 4th ed. New York, NY: Free Press.
Saaty TL (1970) How to make a decision: the analytic hierarchy process. European Journal of Operational Research 48: 9–26.
Santos IM, Bocheco O, Hakab C (2018) Personal mobile technology in the classroom: perceptions of usage and policies. Education and Information Technologies 23: 617–632.
Scherer R, Siddiq F, Tondeur J (2019) The technology acceptance model (TAM): a meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education 128: 13–35.
Sheppard BH, Hartwick J, Warshaw PR (1988) The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research 15(3): 325–343.
Sinha MK, Bhattacharjee S, Bhattacharjee S (2013) A study on ICT literacy and internet use pattern among college library users of Barak Valley, South Assam, North East India. Current Trends in Technology and Science 2(5): 301–316.
Stowell JR, Addison WE, Clay SL (2018) Effects of classroom technology policies on students’ perceptions of instructors: what is your syllabus saying about you? College Teaching 66(2): 98–103.
Taneja A, Fiore V, Fischer B (2015) Cyber-slacking in the classroom: potential for digital distraction in the new age. Computers & Education 82: 141–151.
Taylor S, Todd P (1995) Decomposition and crossover effects in the theory of planned behavior: a study of consumer adoption intentions. International Journal of Research in Marketing 12(2): 137–155.
Telecom Regulatory Authority of India (2020) Telecom Subscription Data as on 31st May, 2020. Available at: https://www.trai.gov.in/sites/default/files/PR_No.62of2020_1.pdf. (accessed 20 June 2020).
Unnithan PSG (2019) Kerala HC Strikes Down College Hostel Rule Prohibiting Mobile Use. Noida: India Today. Available at: https://www.indiatoday.in/india/story/kerala-hc-strikes-down-college-hostel-rule-prohibiting-mobile-use-1601148-2019-09-20 (accessed 6 January 2020).
Van Biljon J, Kotzé P (2008) Cultural factors in a mobile phone adoption and usage model. Journal of Universal Computer Science 14(16): 2650–2679.
Verma MK, Brahma K (2018) Users attitude towards use of smart phones to access information: a case study of PG Students’ of Bodoland University in Kokrajhar, Assam. Asian Journal of Information Science and Technology 8(2): 4–8.
Vidyasaarathi (2021) India Lockdown Learning. Maharastra: Report Mumbai.
Windhoff-Héritier A (1987) Policy-Analyse: Eine Einführung. Frankfurt/New York: Campus.
Wood E, Zivcakova L, Gentile P, et al. (2012) Examining the impact of off-task multi-tasking with technology on real-time classroom learning. Computers & Education 58(1): 365–374.
Yan Z, Chen Q, Yu C (2013) The science of cell phone use: Its past, present, and future. International Journal of Cyber Behavior, Psychology and Learning 3(1): 7–18.
Zogheib B, Daniela L (2021) Students’ perception of cell phones effect on their academic performance: a Latvian and a Middle Eastern University Cases. Technology, Knowledge and Learning 27(1): 1–17.

Biographies

Dr. Daisy Das is an associate professor in the Department of Economics, Cotton University, Guwahati, India. She has an excellent educational and research carrier. Dr. Das has published in different journals of repute and has completed a lot of research projects.
Masum Ahmed is a UGC senior research fellow in the department of Economics at Cotton University, Guwahati, India. With an excellent academic carrier, he has published research articles in several international journals.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
Email Article Link
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published online: February 10, 2023
Issue published: March 2024

Keywords

  1. Smartphone
  2. policy
  3. factor analysis
  4. analytic hierarchy process

Rights and permissions

© The Author(s) 2023.
Request permissions for this article.

Authors

Notes

Masum Ahmed, Economics, Cotton University, Panbazar, Guwahati 781001, India. Email: eco1791001_masum@cottonuniversity.ac.in

Metrics and citations

Metrics

Journals metrics

This article was published in E-Learning and Digital Media.

View All Journal Metrics

Article usage*

Total views and downloads: 160

*Article usage tracking started in December 2016


Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 0

There are no citing articles to show.

Figures and tables

Figures & Media

Tables

Get access

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.