Transforming education with AI: A systematic review of ChatGPT's role in learning, academic practices, and institutional adoption

Abstract

• This research provides a comparative examination of AI-supported and traditional teaching methods, assisting educators and policymakers in making informed decisions about incorporating AI into their curricula. • By assessing how ChatGPT performs in academic writing, literature reviews, and translation, this study sheds light on the strengths and limitations of ChatGPT in these key academic areas. The findings will help researchers and students use ChatGPT successfully, as well as highlight areas that require human oversight. • This research offers insights into how global higher educational institutions navigate the challenges and opportunities presented by AI tools like ChatGPT, helping to define best practices and guidelines for the ethical and effective use of AI in academic contexts and thereby upholding academic standards and integrity. • This study enhances the body of knowledge on AI's role in education by investigating how tools like ChatGPT can support educators in professional development, with specific emphasis on teaching preparation and assessment. It offers insights into how such tools can be effectively utilized to improve classroom outcomes and instructional strategies. The integration of AI tools like ChatGPT into education has generated significant interest due to their potential to transform learning environments by providing personalized learning, automating tasks, and improving student engagement. However, gaps remain in the literature, particularly in comparing AI-supported education methods with traditional approaches and understanding ChatGPT's specific role in academic writing, literature reviews, and teacher development. This study addresses these gaps through a systematic literature review (SLR), evaluating the effectiveness of AI tools versus traditional teaching approaches. It focuses on ChatGPT's application in areas such as academic writing, lesson planning, student assessment, and the professional development of educators. Additionally, the study explores institutional strategies for balancing the benefits of AI with the need to maintain academic integrity and educational quality. The methodology involved a systematic search across academic databases with a structured analysis of key studies in AI-supported education. The main contributions include identifying the comparative advantages and limitations of AI in enhancing student learning, offering best practices for incorporating AI tools into teaching, and examining prompt engineering as a crucial factor in optimizing AI usage. The study reveals that ChatGPT and other AI tools significantly enhance educational efficiency and engagement, but they require careful management to prevent over-reliance. The study advocates for a balanced approach, integrating both AI and traditional methods to achieve optimal educational outcomes while maintaining academic integrity.

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