Adverse Use of Social Media by Higher Secondary School Students: A Case Study on Meta Social Network Platforms
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Abstract
There is an escalating concern surrounding the extensive use of Meta Social Network Platform among adolescents in grades 9 to 12 has significantly evolved over the past 3 decades. It is evident from the past literature that extensive use of Meta Social Network Platforms among adolescents, has an impact on student’s academic performance with signs of addiction. This research centers on higher secondary school students, studying in grades 9 to 12 in five esteemed high schools in the Sukkur district, of Sindh Province of the Islamic Republic of Pakistan. This is quantitative research where a systematic sample of 275 adolescents participated, employing personally administered surveys for primary data collection. Key findings indicate a notable correlation between reduced Meta Social Network Platform usage and higher academic grades, signaling a negative impact on academic performance with increased platform engagement. This study not only contributes to the existing literature by addressing the academic performance- social media relationship among senior school students but also emphasizes the specific platform under investigation. Our discoveries emphasize how important it is to make people aware and put strategies in place to reduce the negative effects of using Meta Social Network Platforms too much on the school grades of older students. Future research aims to develop practical strategies, building on the hypothesis, to address the impact of social media on academic performance. This proactive approach is essential as these platforms continue to shape the lives of adolescents, necessitating measures for balanced approach to technology use and sustained academic success.
Keywords
School Education, Platform, Academic, Strategies, Grades, Adolescents
References
- Ahmed, I. & Qazi, T. F. (2011). A lookout for academic impacts of social networking sites (snss): A student-based perspective. African Journal of Business Management, 5(12):5022–5031.
- Andersson, M. (2019). Examining Facebook use, self-compassion, and its interactions with subjective well-being.
- Beastall, L. (2006). Enchanting a disenchanted child: revolutionizing the means of education using information and communication technology and e-learning. British Journal of Sociology of Education, 27(1):97–110.
- Cassidy, J. (2006). Me media: How hanging out on the internet became big business. The New Yorker, 82(13):50.
- Faryal Shamsi, e. a. (2017). Reflections of practical implementation of the academic course analysis and design of algorithms taught in the universities of Pakistan. Sukkur IBA Journal of Computing and Mathematical Sciences SJCMS), 2(1).
- Griffiths, M. D. (2013). Social networking addiction: Emerging themes and issues. Journal of Addiction Research & Therapy, 4(5).
- Helou, A. M. & Rahim, N. Z. A. (2014). The influence of social networking sites on students’ academic performance in Malaysia. International Journal of Electronic Commerce Studies, 5(2):247– 254.
- Huang, H. & Leung, L. (2009). Instant messaging addiction among teenagers in China: Shyness, alienation, and academic performance decrement. CyberPsychology & Behavior, 12(6):675–679.
- Hussain, R. & Ali, S. (2010). Improving public school teachers in Pakistan: Challenges and opportunities. Improving schools, 13(1):70–80.
- Kamboh, U., Bukhari, S. M. A., Dehraj, M. A., Lakho, M., Ahmed, T., & Jamali, G. A. K. (2019). Analysis of the increasing trend of copy culture in the examination of higher secondary schools of Sindh.
- Karpinski, A. C. & Duberstein, A. (2009). A description of Facebook use and academic performance among undergraduate and graduate students. In Annual Meeting of the American Educational Research Association, San Diego, CA, pages 5–10.
- Klovdahl, A. S., Potterat, J. J., Woodhouse, D. E., Muth, J. B., Muth, S. Q., & Darrow, W. W. (1994). Social networks and infectious disease: The Colorado Springs study. Social science & medicine, 38(1):79–88.
- Koc, M. & Gulyagci, S. (2013). Facebook addiction among Turkish college students: The role of psychological health, demographic, and usage characteristics. Cyberpsychology, Behavior, and Social Networking, 16(4):279–284.
- Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.
- Liang, T.-P., Ho, Y.-T., Li, Y.-W., & Turban, E. (2011). What drives social commerce: The role of social support and relationship quality. International journal of electronic commerce, 16(2):69–90.
- Lin, M.-P., Ko, H.-C., & Wu, J. Y.-W. (2011). Prevalence and psychosocial risk factors associated with internet addiction in a nationally representative sample of college students in Taiwan. Cyberpsychology, Behavior, and Social Networking, 14(12):741–746.
- Nurudeen, Y., Ogbadu, E., & afaru Garba, S. J. Social network media and student academic performance in Kogi State University.
- Pasek, J., Hargittai, E., et al. (2009). Facebook and academic performance: Reconciling a media sensation with data. First Monday.
- Pempek, T. A., Yermolayeva, Y. A., and Calvert, S. L. (2009). College students’ social networking experiences on Facebook. Journal of Applied Developmental Psychology, 30(3):227–238.
- Peter, J. & Valkenburg, P. M. (2006). Adolescents' exposure to sexually explicit online material and recreational attitudes toward sex. Journal of communication, 56(4):639–660.
- Prensky, M. (2001). Digital natives, digital immigrants part 1. On the horizon.
- Pychl, T. (2008). Facebook whole new world of wasting time. Psychology Today, April, 3:2008.
- Shah, V., Kwak, N., Holbert, R. L., & Dhavan (2001). " connecting" and" disconnecting" with civic life: Patterns of internet use and the production of social capital. Political communication, 18(2):141– 162.
- Shamsi, F., Daudpota, S. M., & Shaikh, S. (2019). Content-based automatic video genre identification. International Journal of Advanced Computer Science and Applications, 10(6).
- Shamsi, F. & Sindhu, I. (2021). Improving dblp efficiency through social media mining. Journal of Information & Communication Technology (JICT), 15(1).
- Shamsi, F., Sindhu, I., & Fatima, S. (2023). Impact of computer gaming addiction on body mass index quantitative investigation about Sukkur city of Pakistan. In 2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT), volume 1, pages 1–7. IEEE.
- Sindhu, I. & Shamsi, F. (2023a). Prediction of imdb movie score & movie success by using Facebook. In 2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT), volume 1, pages 1–5. IEEE.
- Sindhu, I. & Shamsi, F. (2023b). Semantic social searching-an ontology-based approach. In 2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT), volume 1, pages 1–4. IEEE.
- Stollak et al., 2011 Stollak, M. J., Vandenberg, A., Burklund, A., & Weiss, S. (2011). Getting social: The impact of social networking usage on grades among college students. In Proceedings from ASBBS annual conference, volume 18, pages 859–865.
- Tokunaga, R. S. (2011). Social networking site or social surveillance site? understanding the use of interpersonal electronic surveillance in romantic relationships. Computers in Human Behavior, 27(2):705–713.
- Veen, W. & Vrakking, B. (2006). Homo Zappiens: Growing up in a digital age. A&C Black.
- Vondrackova, P. and Smahel, D. (2012). Internet addiction. In Encyclopedia of cyber behavior, pages 754–767. IGI Global.
- Wojbor, A. W. (2019). First Course in Statistics for Signal Analysis. Springer.
- Yen, J.-Y., Ko, C.-H., Yen, C.-F., Wu, H.-Y., and Yang, M.-J. (2007). The comorbid psychiatric symptoms of internet addiction: attention deficit and hyperactivity disorder (adhd), depression, social pho- bia, and hostility. Journal of adolescent health, 41(1):93–98.