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International Journal of Contemporary Research in Multidisciplinary

International Journal of Contemporary Research In Multidisciplinary, 2023;2(6):52-59

Enhancing Education through AI: Tailored Learning for Future Generations

Author Name: Aadhi Gayathri, Dr. Asadi Srinivasulu

Paper Type: research paper
Article Information
Paper Received on: 2023-10-24
Paper Accepted on: 2023-12-05
Paper Published on: 2023-12-11
Abstract:

Tailored learning for future generations utilizes AI-driven personalized approaches to optimize educational experiences, adapting to individual needs and fostering lifelong learning. As education evolves in the digital era, the integration of Artificial Intelligence (AI) stands at the forefront, revolutionizing learning methodologies. This paper delves into the latest issues surrounding the application of AI in education, particularly focusing on tailored learning for future generations. Addressing concerns regarding equitable access and ethical implications, this research navigates the complexities of implementing AI-driven personalized learning approaches. Furthermore, it explores the challenges of data privacy, algorithmic biases, and the need for continuous adaptation to cater to diverse learning styles. By examining these contemporary issues, this study seeks to provide insights into optimizing educational experiences, fostering inclusivity, and nurturing lifelong learning in the dynamic landscape of AI-enhanced education.

Keywords:

AI in Education, Tailored Learning, Future Generations, Educational Enhancement, Personalized Approaches, Ethical Implications

Introduction:

The integration [1] of Artificial Intelligence (AI) in education [1] signals a significant transformation in how learning [2] operates, opening doors to personalized educational [7] experiences for upcoming generations. AI's capacity to handle extensive data and adapt swiftly enables customized learning encounters tailored to each student's requirements. By utilizing machine learning algorithms, educational platforms [2] [11] analyze students' learning behaviors, preferences, and areas needing improvement, delivering personalized content and feedback. This method not only amplifies student involvement but also nurtures a deeper grasp of subjects by aligning the curriculum with each learner's pace and preferences. In navigating this era of technological progression, exploring AI's role in education emerges as crucial for shaping a more effective and inclusive learning atmosphere. Nonetheless, the potential of AI in education to drive transformation also gives rise to significant concerns and obstacles. Ethical [3] issues concerning data privacy [5], biases embedded in algorithms, and ensuring equal access surface as vital aspects requiring meticulous attention. Ensuring just and secure access to AI-based educational resources becomes imperative to avert discrepancies in learning [2] achievements. Additionally, as AI evolves, educators and policymakers must adapt teaching methods and create ethical standards that guard against possible biases inherent in AI algorithms. Striking a balance between technological advancements and ethical implementation [10] becomes fundamental in leveraging AI for tailored learning, empowering the generations to come.

How to Cite this Article:

Aadhi Gayathri, Dr. Asadi Srinivasulu. Enhancing Education through AI: Tailored Learning for Future Generations. International Journal of Contemporary Research in Multidisciplinary. 2023: 2(6):52-59


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