Artificial Intelligence in Education: Enhancing Student Engagement and Academic Success

Background: The Artificial Intelligence (AI) has significantly transformed the previous paradigms of teaching and learning because it has been rapidly implemented into the educational sphere. The AI-related devices can boost the engagement of students and their academic performance because they can provide personalized learning experiences. However, very little is done about the effectiveness of such tools and their disadvantages in regards to the problems that the students themselves might possess. Objectives: The primary objective of the paper was to evaluate how Artificial Intelligence (AI) can influence student engagement and academic performance, i.e. what is the role of AI tools in learning processes, and in the context of academic performance and managing student-related issues. To be more precise, the study was to determine the value of AI in interaction and engagement with students with the assistance of the examination of whether the tools are able to create interaction, interest, and active learning. Besides that, the study was to investigate the impacts of AI on academic performances, especially its ability to enhance the learning of complicated and critical thinking abilities among students. The second thing the research was also set to tackle was the student phobia of AI, including the nature of data privacy, or the potential over-dependence on AI assistants, or the perceived role of human educators in the learning process with AI facilitation. Methodology: The quantitative research method was adopted with the help of the structured survey that was conducted in 300 students whose academic specialization was different. The questionnaire included Likert-type questions, which dealt with the student interaction, as well as academic success and worries about AI tools. Results: Analysis of the data was conducted with the help of descriptive statistics in order to present trends and to draw conclusions as to the use of AI in education. It was found that AI tools affect the overall student engagement positively, they were more interactive, more time management, more learning satisfaction. It is with the help of AI that students became more motivated and paid attention, especially, when there were elements of personalized learning and gamification. Academically, AI was discovered to be useful in promoting the level of understanding of challenging subjects and activity efficiency. Nonetheless, excessive dependence on AI, technical latency, and information security also dominated and this indicates that implementation must be cautious. Conclusion: AI has an excellent outlook of improving student engagement and learning. Nevertheless, considering the introduction of AI tools into the learning systems, it is impossible to disregard such issues as the challenges related to the privacy and dependence of the students and the impossibility to substitute human teachers. The suggestions are to train students and teachers properly and to have a strict data privacy policy and use a balance human-in-the-loop philosophy, where AI supplements, but does not supplant, conventional pedagogical methods.