Paper Title

Harnessing AI Technologies in Education: Current Research Insights and Future Prospects

Article Identifiers

Registration ID: IJNRD_226199

Published ID: IJNRD2408013

DOI: Click Here to Get

Authors

Prof. Prajakta V. Kale , Prof. Geetanjali R. Kulkarni , Prof. Annapurna K. Salunke

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.

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: 000121977

Research Area: Engineering

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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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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