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AUTHOR(S): Fariha Nawshin, Md. Ashikur Rahman Khan, Jony Akter
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TITLE Modelling the Effect of Social Media on Female Student Using Artificial Neural Network |
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ABSTRACT Social Media are proliferating among the young generation all over the world. The impact of social media (SM) in our education institutions and society today is undoubtedly overwhelming. Students in developed and developing countries are becoming more addicted to social media and its applications for various reasons which will affect students’ especially female student’s personal and professional life. This study aims to determine the impact of social media on female student’s social lifestyle using Artificial Neural Network (ANN). The study deployed a quantitative research methodology involving a questionnaire as research instrument among 100 female university students in Bangladesh. After training and testing the dataset, we find that model accuracy is more than 90%.The findings include the following: social media refines how female students think, interact, communicate, and fall in love (find love), positive and negative effects on them, their social lifestyle, and many more. It was concluded that despite public views concerning the misuse of social media among female students in society, some of the students were interested to use social media positively for their education and other activities of their social life. But the negative impacts of social media among undergraduates appeared to be higher as compared to the positive impacts. |
KEYWORDS Artificial neural network (ANN); Social media effect; Multilayer perceptron; Mean squared error |
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Cite this paper Fariha Nawshin, Md. Ashikur Rahman Khan, Jony Akter. (2023) Modelling the Effect of Social Media on Female Student Using Artificial Neural Network. International Journal of Education and Learning Systems, 8, 27-31 |
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