Peer Reviewed Open Access

This paper is reviewed in accordance with the Peer Review Program of IRA Academico Research


Research on the Present Situation, Causes and Countermeasures of College Students Bowing in Class

Xu Hongjing, Zhou Ye, Wu Xiaotong, Xiang Xiaolu, Wang Huaqiang
Abstract
With the deep penetration of mobile Internet into the field of higher education, the phenomenon of "low-headed family" in the classroom has evolved into a prominent problem that restricts the quality of education. Although colleges and universities have intensively introduced classroom mobile phone control measures, there is still a significant gap between the governance effect and the expected goal. The purpose of this study was to investigate the current situation of college students' bowing behavior, and analyze its key influencing factors (such as student behavior, teaching factors, environmental impact, etc.). A questionnaire survey (sample size = 336) was used to evaluate behavioral characteristics using the behavioral characteristics scale, and exploratory factor analysis and differential analysis were performed through SPSS 27.0. The data showed that the behavior of college students bowing their heads in class was at the upper middle level (the total mean score was 3.37), and there were significant differences in gender, major, grade and student position. Teaching factors (overall mean score of 3.2) and environmental factors (overall mean score of 4.1) had significant effects. The behavior of bowing the head is related to multi-dimensional factors, and it is suggested to improve this problem by strengthening self-management and cognitive reconstruction, changing teaching methods, institutional constraints and technical control. This study provides an empirical basis for the management of student behavior in colleges and universities.
Keywords
Mobile Internet, College Students: the phenomenon of low-headed family
Full Text:
PDF
References

World Bank. (2023). Global Higher Education Technology Penetration Report. Washington, DC: World Bank Publications.

Ministry of Education of the People's Republic of China (PRC). (2022). Special Report on Monitoring Undergraduate Classroom Teaching Quality. Beijing: Department of Higher Education, Ministry of Education.

Ophir, E., Nass, C., & Wagner, A. D. (2009). Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences, 106(37), 15583-15587.

Clark, R. C., & Mayer, R. E. (2011). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley & Sons.

Kuznekoff, J. H., & Titsworth, S. (2013). The impact of mobile phone usage on student learning. Communication Education, 62(3), 233–252.

Lepp, A., Barkley, J. E., & Karpinski, A. C. (2014). The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Computers in Human Behavior, 31, 343–350.

McCoy, B. (2016). Digital distractions in the classroom: Student classroom use of digital devices for non-class related purposes. Journal of Media Education, 7(1), 5–14.

Panova, T., & Carbonell, X. (2018). Is smartphone addiction an addiction? Journal of Behavioral Addictions, 7(2), 252–259.

Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848.

Rosen, L. D., Whaling, K., Rab, S., Carrier, L. M., & Cheever, N. A. (2013). Is Facebook creating “iDisorders”? The link between clinical symptoms of psychiatric disorders and technology use, attitudes, and anxiety. Computers in Human Behavior, 29(3), 1243–1254.

Wink, P. (1991). Two faces of narcissism. Journal of Personality and Social Psychology, 61(4), 590–597.

Ball-Rokeach, S. J., & DeFleur, M. L. (1976). A dependency model of mass-media effects. Communication Research, 3(1), 3–21.

Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259.

Taneja, A., Fiore, V., & Fischer, B. (2020). Cyber-slacking in the classroom: Exploring laptop and smartphone use in college lectures. Computers & Education, 145, 103731.

Kraushaar, J. M., & Novak, D. C. (2010). Examining the effects of student multitasking with laptops during the lecture. Journal of Information Systems Education, 21(2), 241–251.

Liu, H., Lin, C., & Zhang, D. (2020). Cultural differences in smartphone use in the classroom: A comparative study between China and the U.S. Educational Psychology, 40(6), 693–712.

Aagaard, J. (2015). Drawn to distraction: A qualitative study of off-task use of educational technology. Computers & Education, 87, 90–97.

Bradbury, N. A. (2016). Attention span during lectures: 8 seconds, 10 minutes, or more? Advances in Physiology Education, 40(4), 509-513.

Biggs, J., & Tang, C. (2011). Teaching for quality learning at university. McGraw-Hill Education.



©IRA Academico Research & its authors
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. This article can be used for non-commercial purposes. Mentioning of the publication source is mandatory while referring this article in any future works.