Chapter 6 - Using Al in Academics: The Impact of Artificial Intelligence to the Students in Academics Thesis by: Jharryle Mhiel B. Demafelis

Artificial Intelligence (AI) is revolutionizing education by making it possible to offer customized learning experiences, real-time feedback, and increased student engagement. This study examines the effects of Al on the academic performance of students, both the advantages and disadvantages of incorporating it in educational institutions. AI technologies, including machine learning and natural language processing, allow for customized educational material that matches individual learning pace and style, thus enhancing understanding and retention. In response, researchers in academia and industry are actively exploring methods to distinguish AI-generated content from human-authored material (Opara, 2024). Using a quasi-experimental, descriptive-correlational design, the study examines the relationships between AI integration, student demographics, and academic performance outcomes. Quasi-experiments provide structured analysis with minimal variable control (Cook & Campbell, 1979), while descriptive methods capture complex phenomena (McCombes, 2023), and correlational analysis assesses variable interactions (Bhandari, 2021). Data were collected through structured interviews with randomly selected Grade 12 students. Findings indicate that while AI integration enhances personalized learning and academic performance, challenges remain in ensuring equitable access and addressing data privacy concerns. Hence, we are seeing the emergence of tool-assisted experiences to help the user double-check a piece of AI-generated content (Gordon, 2023), and responsible AI practices such as transparency, privacy protection, bias mitigation, and social and environmental responsibility. Misinformation caused by generative AI will remain a significant challenge (Yang,2023). The study emphasizes the need for teacher training, policy support, and technological resources to enhance the effective integration of AI in academic settings. Academic purposes can lead to procrastination, reduced focus, and lower efficiency in schoolwork completion. Surveys and interviews were conducted with selected Grade 12 students to gather data on their cellphone usage patterns and study habits. 2 Findings from this study highlight the importance of promoting responsible cellphone use among students. The results can serve as a basis for developing strategies that help students maximize the benefits of technology while minimizing its distractions. This study aims to provide valuable insights for educators, parents, and students on how to create a balanced and productive learning environment in the presence of mobile technology.