Submitted:
22 February 2025
Posted:
24 February 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Methods
2.1. Ethical Considerations
3. Results
| Variables | Frequency | Percent |
|---|---|---|
| Gender | ||
| Male | 68 | 21.1 |
| Female | 254 | 78.9 |
| Qualification | ||
| Certificate | 9 | 2.8 |
| Bachelor | 219 | 68.0 |
| Master's | 94 | 29.2 |
| Variables | Frequency | Percent |
|---|---|---|
| Q (DD1): On a typical school day, how often do you use a digital device for non-classroom activities (e.g., texting, calling, emailing, browsing the web, tweeting, or social networking) during classes? | ||
| Never | 93 | 28.9 |
| 1 -3 times | 165 | 51.2 |
| 4-10 times | 48 | 14.9 |
| 11 to 30 times & more | 16 | 5.0 |
| Q (DD2): if you use a digital device during class for non-academic purposes, please describe all those purposes. | ||
| Texting | 68 | 21.9 |
| Social networking | 44 | 14.1 |
| 34 | 10.9 | |
| Web surfing Web | 37 | 11.9 |
| Checking the time | 128 | 41.2 |
| Q (DD3): If you use a digital device during class for non-academic purposes, what percentage of the class time is spent engaging in that activity? | ||
| 0-10% | 180 | 56.6 |
| 11-20% | 54 | 17.0 |
| 21-30% | 33 | 10.4 |
| 31-40% | 18 | 5.7 |
| 41-50% | 20 | 6.3 |
| 51-60% | 13 | 4.0 |


| Variables | Frequency | Percentage |
|---|---|---|
| How much of a learning distraction do you cause yourself if you use digital devices during class for non-classes activities? | ||
| No distraction | 62 | 20.4 |
| A little distraction | 159 | 52.3 |
| A medium distraction | 52 | 17.1 |
| A big distraction | 31 | 10.2 |
| How much of a learning distraction is it to you if other students use digital devices during class for non-class activities | ||
| No distraction | 48 | 16.1 |
| A little distraction | 167 | 55.9 |
| A medium distraction | 51 | 17.1 |
| A big distraction | 33 | 11.0 |


| Variables | Frequency | Percent |
|---|---|---|
| Q (DD11): Which of the following statements do you agree with MOST regarding classroom uses of digital devices for non-classroom purposes? Of digital devices for non-classroom purposes? | ||
| I believe my use of digital devices is | 126 | 39.6 |
| I don’t use digital devices | 70 | 22.0 |
| I can freely use a digital device | 51 | 16.0 |
| I can’t stop myself from | 30 | 9.4 |
| It is my choice to use a digital device | 41 | 12.9 |
| Q (DD12): Do you believe it is helpful to have policies limiting non-classroom use of digital devices? | ||
| Yes | 191 | 59.7 |
| No | 51 | 15.9 |
| Don't know | 78 | 24.4 |
| Q (DD13): Would it be helpful if the instructor had a brief class discussion about the appropriate classroom use of digital devices at the beginning of each semester | ||
| Yes | 276 | 85.7 |
| No | 28 | 8.7 |
| Don't know | 18 | 5.6 |
| Q (DD14): What should instructors do if a student disrupts by using a digital device for non-class | ||
| speak to the student | 107 | 33.8 |
| ask the student to leave the class | 68 | 21.5 |
| confiscate or turn off the device | 142 | 44.8 |
| Q (DD15): Which policy would you most favor for the student caught using digital devices in the classroom for non-classroom purposes? | ||
| No warning or penalty | 22 | 6.8 |
| warning on a first offense, | 279 | 86.6 |
| penalty each time it happens | 21 | 6.5 |
| Q (DD16). I would turn off non-classroom digital distractions if my instructor gave me this much extra credit on my final class grade | ||
| 5 percent | 17 | 5.3 |
| 10 percent | 13 | 4.0 |
| 20 percent | 60 | 18.6 |
| I don't think students need | 232 | 72.0 |
4. Discussion
4.1. Theory, Calculation and Recommendations
4.2. Limitations
5. Conclusion
Disclosure and Conflict of Interest Statement
Data sharin
Glossary & Abbreviations Operation Definitions
Funding
Acknowledgments
References
- Adamopoulos, I. P., & Syrou, N. F. (2022). Associations and Correlations of Job Stress, Job Satisfaction and Burn out in Public Health Sector. European Journal of Environment and Public Health, 6(2), em0113. [CrossRef]
- Adamopoulos, I. P. (2022). Job Satisfaction in Public Health Care Sector, Measures Scales and Theoretical Background. European Journal of Environment and Public Health, 6(2), em0116. [CrossRef]
- Adamopoulos, I., Lamnisos, D., Syrou, N., & Boustras, G. (2022). Public health and work safety pilot study: Inspection of job risks, burnout syndrome, and job satisfaction of public health inspectors in Greece. Safety Science.
- Adamopoulos, I., Syrou, N., Lamnisos, D., & Boustras, G. (2023). Cross-sectional nationwide study in occupational safety and health: Inspection of job risks, burnout syndrome, and job satisfaction of public health inspectors during the COVID-19 pandemic in Greece. Safety Science, 158, 105960.
- Attia, N. A., Baig, L., Marzouk, Y. I., & Khan, A. (2017). The potential effect of technology and distractions on undergraduate students’ concentration. Pakistan Journal of Medical Sciences, 33(4), 860–865. [CrossRef]
- Awed, H. S., & Hammad, M. A. (2022). Relationship between nomophobia and impulsivity among deaf and hard-of-hearing youth. Scientific reports, 12(1), 14208. [CrossRef]
- Balalle, H. (2024). Exploring student engagement in technology-based education in relation to gamification, online/distance learning, and other factors: A systematic literature review. SSAHO. [CrossRef]
- Dontre, A. J. (2020). The influence of technology on academic distraction : A review. August, 1–12. [CrossRef]
- Flanigan, A. E., Frisby, B. N., Flanigan, A. E., Hosek, A. M., Frisby, B., & Babchuk, W. A. (2022). Student perceptions of digital distraction prevention and student – instructor Student perceptions of digital distraction prevention and student – instructor rapport. December. [CrossRef]
- Flanigan, A. E., Brady, A. C., Dai, Y., & Ray, E. (2023). Managing Student Digital Distraction in the College Classroom: a Self-Determination Theory Perspective. Educational Psychology Review, 35(2). [CrossRef]
- Haleem, A., Javaid, M., Asim, M., & Suman, R. (2022). Understanding the role of digital technologies in education : A review. Sustainable Operations and Computers, 3(May), 275–285. [CrossRef]
- Karki, S., Singh, J. P., Paudel, G., Khatiwada, S., & Timilsina, S. (2020). How addicted are newly admitted undergraduate medical students to smartphones?: A cross-sectional study from Chitwan medical college, Nepal. BMC Psychiatry, 20(1), 1–7. [CrossRef]
- Kazem, A. M., Emam, M. M., Alrajhi, M. N., Aldhafri, S. S., AlBarashdi, H. S., & Al-Rashdi, B. A. (2021). Nomophobia in Late Childhood and Early Adolescence: the Development and Validation of a New Interactive Electronic Nomophobia Test. Trends in Psychology, 29(3), 543–562. [CrossRef]
- Khan, A. J. J., Yar, S., Fayyaz, S., Adamopoulos, I., Syrou, N., & Jahangir, A. (2024). From Pressure to Performance, and Health Risks Control: Occupational Stress Management and Employee Engagement in Higher Education. Preprints. [CrossRef]
- Limniou, M. (2021). Education sciences The Effect of Digital Device Usage on Student Academic Performance : A Case Study. [CrossRef]
- Mccoy, B. (2020). DigitalCommons @ University of Nebraska - Lincoln Digital Distractions in the Classroom : Student Classroom Use of Digital Devices for Non-Class Related Purposes. Faculty Publication, College of Journalism & Mass Communication, 116, 1–34.
- Morris, P., Morris, P., & Sarapin, S. (2020). Mobile phones in the classroom : Policies and potential pedagogy. 12(1), 57–69. [CrossRef]
- Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. [CrossRef]
- Pérez-Juárez, M. Á., González-Ortega, D., & Aguiar-Pérez, J. M. (2023). Digital Distractions from the Point of View of Higher Education Students. Sustainability (Switzerland), 15(7). [CrossRef]
- Sami, Lalitha Krishna; Iffat, Rabia (2010). "Impact of Electronic Services on Users: A Study". JLIS.it. 1 (2). University of Florence. [CrossRef]
- Siebers, T., Beyens, I., Pouwels, J. L., & Valkenburg, P. M. (2022). Social Media and Distraction : An Experience Sampling Study among Adolescents Social Media and Distraction : An Experience Sampling. Media Psychology, 25(3), 343–366. [CrossRef]
- Siebers, T., Beyens, I., Pouwels, J. L., & Valkenburg, P. M. (2022). Social Media and Distraction : An Experience Sampling Study among Adolescents Social Media and Distraction : An Experience Sampling. Media Psychology, 25(3), 343–366. [CrossRef]
- Selwyn, N., & Aagaard, J. (2021). Banning mobile phones from classrooms—An opportunity to advance understandings of technology addiction, distraction and cyberbullying. British Journal of Educational Technology, 52(1), 8–19. [CrossRef]
- Shanmugasundaram M and Tamilarasu A (2023) The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review. Front. Cognit. 2:1203077. [CrossRef]
- Technol, J. E., Educ, H., Yang, Q. F., Lian, L. W., & Zhao, J. H. (2023). Developing a gamified artificial intelligence educational robot to promote learning effectiveness and behavior in laboratory safety courses for undergraduate students. International Journal of Educational Technology in Higher Education. [CrossRef]
- Thomas, K. M., O’Bannon, B. W., & Bolton, N. (2013). Cell Phones in the Classroom: Teachers’ Perspectives of Inclusion, Benefits, and Barriers. Computers in the Schools, 30(4), 295–308. [CrossRef]
- Tuco, K. G., Castro-Diaz, S. D., Soriano-Moreno, D. R., & Benites-Zapata, V. A. (2023). Prevalence of Nomophobia in University Students: A Systematic Review and Meta-Analysis. Healthcare Informatics Research, 29(1), 40–53. [CrossRef]
- Wang, J. C., Hsieh, C. Y., & Kung, S. H. (2023). The impact of smartphone use on learning effectiveness: A case study of primary school students. In Education and Information Technologies (Vol. 28, Issue 6). Springer US. [CrossRef]
- Wang, C., Chen, X., & Yu, T. (2024). perspective. [CrossRef]
- Vagka, E., Gnardellis, C., Lagiou, A., & Notara, V. (2024). Smartphone Use and Social Media Involvement in Young Adults: Association with Nomophobia, Depression Anxiety Stress Scales (DASS) and Self-Esteem. International Journal of Environmental Research and Public Health, 21(7), 920. [CrossRef]


| Stage | Category | Count |
|---|---|---|
| Identification | Databases | 500 |
| Registers | - | |
| Websites | - | |
| Organizations | - | |
| Citations | - | |
| Duplicates removed | 80 | |
| Automatically excluded | - | |
| Other exclusions | - | |
| Screening | Records screened | 420 |
| Records excluded | 100 | |
| Reports sought | 320 | |
| Reports not retrieved | - | |
| Other reports sought | - | |
| Other reports were not retrieved. | - | |
| Eligibility | Reports assessed | 320 |
| Reports excluded | 70 | |
| Other reports assessed | - | |
| Other reports excluded | - | |
| Included | New studies | 250 |
| New reports | - |
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