Paper Title
Harnessing AI Technologies in Education: Current Research Insights and Future Prospects
Article Identifiers
: Keywords
Artificial Intelligence (AI), Education Technology, Personalized Learning
Abstract
Artificial Intelligence (AI) technologies have been increasingly adopted across various sectors, with education being a key area of transformation. The integration of AI in education promises to revolutionize traditional pedagogical methods, streamline administrative processes, and provide tailored learning experiences that cater to the individual needs of students. This paper aims to provide a detailed review of the recent advancements in AI applications within the educational sector, focusing on personalized learning, automated assessment, and administrative efficiency. Recent research highlights the significant progress made in developing adaptive learning systems that offer personalized educational experiences based on individual student performance data. These systems utilize sophisticated machine learning algorithms to adapt content and teaching strategies, enhancing student engagement and improving learning outcomes. Intelligent tutoring systems, which provide real-time feedback and customized guidance, are also gaining traction, demonstrating substantial benefits in various educational contexts. AI's role in educational assessment has also expanded, with automated grading systems, plagiarism detection tools, and predictive analytics becoming more prevalent. These technologies not only enhance the efficiency and accuracy of assessments but also provide educators with deeper insights into student performance and potential areas of improvement. Automated grading systems have shown high levels of accuracy and consistency, while predictive analytics are being used to identify at-risk students and facilitate timely interventions. In the realm of administrative efficiency, AI technologies are transforming the way educational institutions operate. AI-powered chatbots and virtual assistants are being deployed to handle routine student inquiries, significantly reducing response times and improving overall student satisfaction. Additionally, AI-driven systems for resource allocation and scheduling are helping institutions optimize their operations, leading to cost savings and better utilization of resources. While the benefits of AI in education are evident, the paper also addresses the challenges and ethical considerations associated with its implementation. These include data privacy concerns, potential biases in AI algorithms, and the need for transparency in AI-driven decision-making processes. Furthermore, the paper explores the future directions for AI in education, emphasizing the need for enhanced personalization, integration with emerging technologies such as augmented reality (AR) and virtual reality (VR), and the importance of conducting longitudinal impact studies to evaluate the long-term effects of AI on educational outcomes. This comprehensive review underscores the transformative potential of AI in education, while also highlighting the critical areas that require further research and attention to ensure the ethical and equitable deployment of AI technologies in educational settings. By addressing these challenges and exploring future directions, the paper aims to contribute to the ongoing discourse on the role of AI in shaping the future of education.
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How To Cite (APA)
Prof. Prajakta V. Kale, Prof. Geetanjali R. Kulkarni, & Prof. Annapurna K. Salunke (August-2024). Harnessing AI Technologies in Education: Current Research Insights and Future Prospects. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(8), a130-a147. https://ijnrd.org/papers/IJNRD2408013.pdf
Issue
Volume 9 Issue 8, August-2024
Pages : a130-a147
Other Publication Details
Paper Reg. ID: IJNRD_226199
Published Paper Id: IJNRD2408013
Downloads: 000122255
Research Area: Engineering
Author Type: Indian Author
Country: Solapur, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2408013.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408013
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