Social media particularly Facebook and Twitter usage can contribute to students positively and negatively depend on the users and the purpose for it use, it is on this thrust that the research examined the influence of social media on the writing and reading ability of Bowen University undergraduates. The research is anchored on Technology Determinism Theory which was explained and related carefully to this result with the aim of given depth to the research. The research also used survey research design coupled with 170 copies of questionnaires that were administered to respondents in Bowen University, Iwo Osun State who were simple randomly selected from which 153 copies were correctly filled and analyzed using frequency and percentage table method with SPSS version 20. Findings show that many of the students use their social media account for chatting, linking up with friends, business and education purposes with the believe that the platforms are doing them more good. Though, they agreed that their grammar, spelling is gradually being battered out in terms of quality. They also use social media for creating class community, tweeting upcoming due date for events and coordinating assignment or group work. Findings revealed further that negative effect of social media can be curbed if students are using Facebook, Twitter and other platforms for class and outside class engagement as follow up to their studies, class community. Also, when lecturers start penalizing and guiding on on what is expected on them. The research recommends that Twitter and other social media users should have clear purpose for joining any social media in the first place so that they would not be overcome by any negative impacts but rather use these sites for maximum benefit.
📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery
The project titled "Applying Machine Learning Techniques to Detect Financial Fraud in Online Transactions" aims to address the critical issue of detec...
The project titled "Anomaly Detection in IoT Networks Using Machine Learning Algorithms" focuses on addressing the critical challenge of detecting ano...
The project titled "Applying Machine Learning Algorithms for Predicting Stock Market Trends" aims to explore the application of machine learning algor...
The project titled "Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data" focuses on utilizing machine learning algorithms...
The project titled "Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems" focuses on leveraging machine learning techniques ...
The project, "Implementation of a Machine Learning Algorithm for Predicting Stock Prices," aims to leverage the power of machine learning techniques t...
The project titled "Development of an Intelligent Traffic Management System using Machine Learning Algorithms" aims to revolutionize the traditional t...
No response received....
The project titled "Applying Machine Learning for Intrusion Detection in IoT Networks" aims to address the increasing cybersecurity threats targeting ...