Key points are not available for this paper at this time.
Artificial Intelligence (AI) has the potential to revolutionize various aspects of education due to its rapid expansion in educational technology by introducing personalized and efficient learning experiences. Several artificial intelligence (AI) tools are being integrated into this research project such as "Coursera Coach powered by Generative AI" which incorporates adaptive learning, "AI- assisted course building powered by Generative AI" which incorporates intelligent tutoring elements and "Turnitin" offers tools for grading and providing feedback to revolutionize teaching, learning, and assessment practices in higher education. Researchers evaluate the effectiveness of AI tools in enhancing student engagement, personalizing learning experiences, and optimizing assessment processes based on a variety of quantitative metrics. A comparison is made between experimental groups that follow AI-integrated teaching methods and control groups that follow a traditional approach to instruction. As part of the study, scores of pre- and post-assessment questions were collected, learning progression patterns were analyzed, and instructors and students provided qualitative feedback. As a result of the experimental data, it has been possible to discern which AI tools have strengths and limitations within the context of higher education. A variety of adaptive learning platforms are evaluated for their ability to adjust content to individual learning styles, while intelligent tutoring systems are assessed for their impact on comprehension, retention, and problem-solving skills. Automated grading tools are tested for their efficiency gains in assessment processes and their ability to improve feedback promptness and quality. A substantial amount of empirical evidence is provided by the findings of this study to the ongoing discourse on AI integration in higher education. This study provides a wealth of actionable insights for academic staff, technicians, and administrators seeking evidence-based strategies for implementing AI technologies in their educational frameworks.
Gupta et al. (Thu,) studied this question.