The Impact of AI and ChatGPT on Bangladeshi University Students: A Machine Learning Approach

Abstract

Artificial intelligence has completely digitalized modern education. Numerous cutting-edge AI tools, including ChatGPT and generative AI, are having an impact on our schooling. This study presents a scenario of how Chat GPT and AI affect Bangladeshi students' critical thinking and learning habits in the context of higher education. Using a qualitative survey form, we attempt to create an exclusive dataset. In order to create this dataset, 4754 students from 39 different Bangladeshi universities participated in the survey. Thirteen key elements are selected as major attributes to analyze how AI tools affect students. Following data collection, we use a variety of preprocessing approaches to get ready for several advanced machine learning models. Next, we use a variety of models, such as Voting Classifier, Random Forest, Extra Trees Classifier, Bagging Classifier, Decision Tree Classifier, K-Neighbors Classifier and Support Vector Machines. Our processed dataset yields good results from the majority of the models, with Voting Classifier achieving the greatest accuracy (91.58%). The results show that ChatGPT greatly improves problem-solving, teamwork, and self-directed learning. However, issues with over-reliance on AI, data privacy, and its possible effects on creativity are brought to light. In order to responsibly integrate AI tools into education, educators and policymakers can benefit greatly from the insights this research offers. It emphasizes how crucial it is to strike a balance between traditional learning principles and technology breakthroughs in order to guarantee a sustainable, inclusive educational future in Bangladesh.