Integrating Generative AI Into K-12 Curriculums and Pedagogies in India: Opportunities and Challenges

Integrating Generative AI Into K-12 Curriculums and Pedagogies in India: Opportunities and Challenges

Durgesh M. Sharma, K. Venkata Ramana, R. Jothilakshmi, Rakesh Verma, B. Uma Maheswari, Sampath Boopathi
DOI: 10.4018/979-8-3693-0487-7.ch006
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Generative artificial intelligence (AI) can revolutionize K-12 education in India by enhancing curriculums and pedagogies. This chapter explores the principles of generative AI, including generative adversarial networks (GANs), variational autoencoders (VAEs), and natural language generation (NLG), and its potential to create content indistinguishable from human-generated materials. Generative AI addresses challenges like resource scarcity, linguistic diversity, and personalized learning experiences, while emphasizing ethical considerations, data privacy, and bridging the digital divide. The future of K-12 education in India will see personalized learning journeys, inclusivity, and empowered educators. A comprehensive policy framework, infrastructure support, and teacher training are needed to realize the full potential of generative AI in shaping the educational landscape.
Chapter Preview
Top

Introduction

Technology has become a potent transformational force in the fast-changing world of education. Particularly, Artificial Intelligence (AI) has impacted several industries, bringing with it fresh ideas and opportunities. AI has not only provided opportunities for efficiency but has also started to change the core dynamics of teaching and learning in the field of education. Generative AI, a subject that includes systems capable of producing material such as text, graphics, and even interactive learning experiences, is one potential area of AI in education. This chapter embarks on a journey to explore the integration of Generative AI into K-12 curriculums and pedagogies in India, charting the opportunities and challenges that lie ahead(Gardner-McCune et al., 2019).

Technology has become a potent driver for change in the continually expanding sector of education. In particular, Artificial Intelligence (AI) has permeated various sectors, heralding innovative solutions and novel possibilities. Within the realm of education, AI has not only offered avenues for efficiency but has also begun to reshape the fundamental dynamics of teaching and learning. One promising facet of AI in education is Generative AI, a subfield that encompasses systems capable of generating content, such as text, images, and even interactive learning experiences. This chapter embarks on a journey to explore the integration of Generative AI into K-12 curriculums and pedagogies in India, charting the opportunities and challenges that lie ahead(Murphy, 2019). It explores the generative AI's fundamental ideas, including methods like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Natural Language Generation (NLG). Understanding AI technologies enables the creation of indistinguishable text, images, and interactive experiences, enhancing human-like capabilities. Furthermore, the chapter examines the potential applications of Generative AI in education, emphasizing its role in enhancing curriculum development, content creation, pedagogical innovation, and personalized learning experiences(Yau et al., 2023). While acknowledging the immense potential of Generative AI, it also addresses ethical considerations, data privacy, and the imperative of bridging the digital divide in the Indian educational context. This exploration aims to provide a comprehensive understanding of Generative AI's impact on K-12 education in India and its implications for shaping a dynamic and inclusive learning ecosystem.

Education, like many other fields, is experiencing rapid changes driven by advances in technology. Traditional teaching and learning methods are being reimagined and enhanced through technological innovations. These changes are not only affecting how education is delivered but are also fundamentally transforming the educational experience(Van Brummelen & Lin, 2020). In particular, artificial intelligence (AI) has impacted a number of industries, bringing with it fresh ideas and opportunities. Artificial intelligence (AI), a field of computer science that focuses on building intelligent computers that can carry out activities that traditionally require human intellect, has significantly advanced across a variety of sectors. It has brought about ground-breaking solutions and opened up new avenues of exploration and innovation in various fields, including healthcare, finance, and transportation.

“Within the realm of education, AI has not only offered avenues for efficiency but has also begun to reshape the fundamental dynamics of teaching and learning.” In the context of education, AI is not just streamlining administrative processes but is also fundamentally changing how students learn and teachers teach. It is enhancing the efficiency of educational systems while also reshaping the very core of educational interactions. AI's impact extends beyond mere automation; it's about creating more personalized, adaptive, and effective learning experiences(Akgun & Greenhow, 2021).

“One promising facet of AI in education is Generative AI, a subfield that encompasses systems capable of generating content, such as text, images, and even interactive learning experiences.” Generative AI is a subset of AI that focuses on creating content. It includes technologies like Natural Language Generation (NLG) and image synthesis, which can generate human-like text and images. These technologies have the potential to revolutionize content creation in education, from generating textbooks to creating interactive simulations that help students grasp complex concepts(Chiu, 2021).

Complete Chapter List

Search this Book:
Reset