AI in Education

Transforming the Indian Educational Landscape

Explore

NEP 2020 Emphasis on AI

Policy Framework

The National Education Policy 2020 emphasizes AI as a critical area for multidisciplinary education. It recognizes AI as one of the emerging technologies that will shape India's future economy and society.

Curriculum Integration

NEP 2020 promotes the integration of AI across all levels of education, starting from schools to higher education institutions, to develop computational thinking and digital literacy among students.

Future Skills Development

The policy emphasizes developing AI skills and competencies to prepare students for future jobs. It recommends creating specialized AI education programs and research centers in higher education institutions.

"Education must move towards learning about how to think critically and solve problems, how to be creative and multidisciplinary, and how to innovate, adapt, and absorb new material in novel and changing fields." — National Education Policy 2020

Government of India Initiatives on AI

NITI Aayog's National Strategy for AI

NITI Aayog released the "National Strategy for Artificial Intelligence" focusing on education as one of the core areas for AI application. It proposed creating a multi-stakeholder marketplace for AI tools in education.

AI for All Initiative

The Ministry of Education launched the "AI for All" initiative to democratize AI education. This program aims to make AI education accessible to students from diverse backgrounds across India.

Responsible AI for Youth

This program focuses on empowering young students to become AI-ready by giving them an opportunity to learn AI skills at an early age. It offers training modules and project-based learning experiences.

CBSE AI Curriculum

The Central Board of Secondary Education (CBSE) introduced AI as a skill subject for classes 8, 9, and 10, making India one of the first countries to include AI in the school curriculum.

Examples of AI in Education Landscape in India

Personalized Learning

Personalized Learning Platforms

Startups like BYJU'S and Vedantu are leveraging AI algorithms to personalize learning paths for students based on their performance, preferences, and learning pace.

AI-Powered Assessment

AI-Powered Assessment

Organizations like EkStep Foundation are developing AI tools for automated assessment and feedback, reducing the workload on teachers and providing instant feedback to students.

Language Learning

Vernacular Language Learning

AI is being used to develop language learning applications that support India's diverse linguistic landscape, helping students learn in their native languages.

AI-Powered Assessment

AI-Powered Assessment

Organizations like EkStep Foundation are developing AI tools for automated assessment and feedback, reducing the workload on teachers and providing instant feedback to students.

Predictive Analytics

Predictive Analytics for Dropouts

Educational institutions are using predictive analytics to identify students at risk of dropping out and implementing timely interventions to improve retention rates.

Personalized Learning

Personalized Learning Platforms

Startups like BYJU'S and Vedantu are leveraging AI algorithms to personalize learning paths for students based on their performance, preferences, and learning pace.

Way Forward

93%

of educators believe AI will significantly transform education in India by 2030

65%

of Indian schools plan to implement AI-based learning tools in the next five years

70M+

students could benefit from AI-enhanced education by 2026

45%

reduction in administrative workload for teachers through AI automation

Strategic Roadmap

  • Infrastructure Development

    Investing in digital infrastructure to support AI implementation in all educational institutions, including those in rural and remote areas.

  • Teacher Training Programs

    Developing comprehensive training programs to equip teachers with the skills to effectively integrate AI tools in their teaching methodologies.

  • Ethical AI Framework

    Establishing ethical guidelines for the use of AI in educational settings to ensure privacy, security, and fairness.

  • Public-Private Partnerships

    Fostering collaboration between government, educational institutions, and private sector to accelerate AI innovation in education.

Meet the Team

Prof. Indu Kumar

Prof. Indu Kumar

Professor & Head, DICT, CIET-NCERT

Expert in implementing AI solutions for educational platforms, specializing in machine learning algorithms.

Dr. Rajesh D

Dr. Rajesh D

Associate Professor, DICT &
In-Charge, AI Cell, CIET

Pioneering the integration of AI into traditional curriculum with focus on personalized learning paths.

Various Open-Source AI Tools for Education

Moodle with AI Plugins

Moodle's open-source LMS with AI plugins offers features like automated grading, content recommendations, and learning analytics.

Learn More

OpenAI Gym

A toolkit for developing and comparing reinforcement learning algorithms that can be used for educational simulations and experiments.

Learn More

TensorFlow Education

Google's TensorFlow provides resources and tools specifically designed for educational applications of machine learning.

Learn More

H5P

An open-source content collaboration framework that enables the creation of interactive content with AI capabilities for educational purposes.

Learn More

Juptyerhub

A multi-user server for Jupyter notebooks that can be used to create and share documents with live code, equations, and visualizations.

Learn More

RapidMiner

An open-source data science platform that can be used in educational settings to teach data mining and predictive analytics.

Learn More