India’s school education system, spanning 14.71 lakh schools and serving over 24.69 crore students, is set for a wide-ranging policy rethink after NITI Aayog proposed a 13-point roadmap focused on quality enhancement. The think tank’s report, “School Education System in India: Temporal Analysis and Policy Roadmap for Quality Enhancement,” calls for artificial intelligence (AI) integration in classrooms and the creation of state and district-level task forces to monitor and improve learning outcomes. It also flags systemic gaps even as it records gains in equity and recovery in foundational learning.&nbsp;<h2>AI integration and classroom transformation</h2> A central feature of the report is the push to embed AI in pedagogy to modernise teaching and learning. NITI Aayog recommends leveraging AI-enabled tools for adaptive learning, real-time feedback and student progress tracking. However, it warns that the education system is not yet aligned with this shift. The report notes: “The rapid expansion of AI-based tools has outpaced the capacity of curricula and teacher preparation systems to keep up.” It further highlights that teacher training remains “short, generic, and detached from classroom realities,” limiting effective integration of emerging technologies. The report also highlights that educators are rarely trained to teach foundational AI concepts or digital reasoning skills, leaving students without adequate understanding of AI systems that are likely to shape future work and civic participation.&nbsp;ALSO READ: <a href="https://www.wionews.com/world/3-dead-in-massive-mount-dukono-eruption-as-ash-blasts-10km-into-sky-in-indonesia-watch-1778235082387">3 dead in massive Mount Dukono eruption as ash blasts 10km into sky in Indonesia; scary video emerges | WATCH</a>&nbsp;The Ministry of Education’s plan to introduce Artificial Intelligence and Computational Thinking from Grade 3 onwards is acknowledged as a major policy shift aligned with NEP 2020 and NCF-SE 2023. Curriculum development by CBSE and NCERT, supported by NISHTHA-based training, is underway. Yet the Aayog notes that implementation remains uneven due to gaps in infrastructure, teacher capacity and institutional preparedness. It also highlights the absence of clear frameworks for data governance, privacy, authorship and responsible AI use in schools.<h2>Governance reforms and task force model</h2> To support academic reforms, NITI Aayog has proposed eight systemic changes, including the creation of state and district task forces dedicated to school quality. These bodies are expected to drive a ‘whole-of-society’ approach to monitoring and improving education delivery. &nbsp;The report recommends that States institutionalise District Task Forces on School Quality to coordinate resources, address implementation bottlenecks, and strengthen education delivery through a structured whole-of-society approach.&nbsp;ALSO READ: <a href="https://www.wionews.com/india-news/why-bjp-s-suvendu-adhikari-never-got-married-the-untold-story-behind-bengal-s-next-chief-minister-s-personal-life-1778245158158">Why BJP’s Suvendu Adhikari never got married? The untold story behind Bengal’s next Chief Minister’s personal life</a>&nbsp;It notes, “Improving the quality of schooling at scale requires coordinated action beyond the education department alone. Learning outcomes are shaped by factors spanning health, nutrition, social protection, infrastructure, skills, technology, community engagement, and local economic contexts.” It further recommends composite school structures, governance reform, stronger infrastructure, and improved teacher deployment and professional development systems. It further calls for strengthening school management committees and expanding digital and broadcast-based learning platforms.<h2>Learning outcomes, equity and ongoing challenges</h2> The NITI Ayog report also highlights progress in equity, noting improved participation of girls and increased enrolment of SC and ST students. It also records a post-pandemic recovery in foundational literacy and numeracy, supported by initiatives such as NEP 2020, NIPUN Bharat Mission and Samagra Shiksha Abhiyan. However, it identifies 11 major systemic and academic challenges that continue to constrain performance across states and union territories. These include uneven learning outcomes, governance gaps, and limited institutional capacity to scale reforms effectively across the vast education network.&nbsp;

The report also highlights that educators are rarely trained to teach foundational AI concepts or digital reasoning skills, leaving students without adequate understanding of AI systems that are likely to shape future work and civic participation.

India’s school education system, spanning 14.71 lakh schools and serving over 24.69 crore students, is set for a wide-ranging policy rethink after NITI Aayog proposed a 13-point roadmap focused on quality enhancement. The think tank’s report, “School Education System in India: Temporal Analysis and Policy Roadmap for Quality Enhancement,” calls for artificial intelligence (AI) integration in classrooms and the creation of state and district-level task forces to monitor and improve learning outcomes. It also flags systemic gaps even as it records gains in equity and recovery in foundational learning. AI integration and classroom transformation A central feature of the report is the push to embed AI in pedagogy to modernise teaching and learning. NITI Aayog recommends leveraging AI-enabled tools for adaptive learning, real-time feedback and student progress tracking. However, it warns that the education system is not yet aligned with this shift. The report notes: “The rapid expansion of AI-based tools has outpaced the capacity of curricula and teacher preparation systems to keep up.” It further highlights that teacher training remains “short, generic, and detached from classroom realities,” limiting effective integration of emerging technologies. The report also highlights that educators are rarely trained to teach foundational AI concepts or digital reasoning skills, leaving students without adequate understanding of AI systems that are likely to shape future work and civic participation. ALSO READ: 3 dead in massive Mount Dukono eruption as ash blasts 10km into sky in Indonesia; scary video emerges | WATCH The Ministry of Education’s plan to introduce Artificial Intelligence and Computational Thinking from Grade 3 onwards is acknowledged as a major policy shift aligned with NEP 2020 and NCF-SE 2023. Curriculum development by CBSE and NCERT, supported by NISHTHA-based training, is underway. Yet the Aayog notes that implementation remains uneven due to gaps in infrastructure, teacher capacity and institutional preparedness. It also highlights the absence of clear frameworks for data governance, privacy, authorship and responsible AI use in schools. Governance reforms and task force model To support academic reforms, NITI Aayog has proposed eight systemic changes, including the creation of state and district task forces dedicated to school quality. These bodies are expected to drive a ‘whole-of-society’ approach to monitoring and improving education delivery. The report recommends that States institutionalise District Task Forces on School Quality to coordinate resources, address implementation bottlenecks, and strengthen education delivery through a structured whole-of-society approach. ALSO READ: Why BJP’s Suvendu Adhikari never got married? The untold story behind Bengal’s next Chief Minister’s personal life It notes, “Improving the quality of schooling at scale requires coordinated action beyond the education department alone. Learning outcomes are shaped by factors spanning health, nutrition, social protection, infrastructure, skills, technology, community engagement, and local economic contexts.” It further recommends composite school structures, governance reform, stronger infrastructure, and improved teacher deployment and professional development systems. It further calls for strengthening school management committees and expanding digital and broadcast-based learning platforms. Learning outcomes, equity and ongoing challenges The NITI Ayog report also highlights progress in equity, noting improved participation of girls and increased enrolment of SC and ST students. It also records a post-pandemic recovery in foundational literacy and numeracy, supported by initiatives such as NEP 2020, NIPUN Bharat Mission and Samagra Shiksha Abhiyan. However, it identifies 11 major systemic and academic challenges that continue to constrain performance across states and union territories. These include uneven learning outcomes, governance gaps, and limited institutional capacity to scale reforms effectively across the vast education network.

The report also highlights that educators are rarely trained to teach foundational AI concepts or digital reasoning skills, leaving students without adequate understanding of AI systems that are likely to shape future work and civic participation.

NITI Aayog calls for AI-driven learning and local task forces to strengthen school outcomes

Artificial intelligence (AI) is slowly becoming part of classrooms and learning apps worldwide. AI can adjust lessons to fit each student’s needs. It can be personalised for each learner, where every learner follows a path built around their strengths, weaknesses, and goals.&nbsp;According to a 2023 report by UNESCO, AI-based education tools can “create individual learning pathways” and help reduce learning gaps, especially in large classrooms. Platforms such as Duolingo and DreamBox already use AI to adapt lessons in real time based on student performance.&nbsp;<h2>How AI Builds Learning Paths</h2>AI systems collect data on how a student performs in quizzes, assignments, and practice exercises. They then analyse this information to design a customised learning journey. A report by the Organisation for Economic Co-operation and Development (OECD) noted that adaptive systems can quickly identify “where learners are struggling and adjust content accordingly.” This means a student strong in grammar but weak in vocabulary gets extra vocabulary practice while moving ahead in grammar.&nbsp;<h2>Adaptive Content and Feedback</h2>AI tutors can change the difficulty of tasks automatically. If a student solves problems easily, the system moves them to advanced topics. If they struggle, it gives extra practice or simpler explanations.&nbsp;Immediate feedback is another advantage. A study published found that students using AI-powered platforms received corrections instantly, which improved concept mastery faster than waiting for teacher feedback. Language apps like Duolingo use this approach, showing learners their mistakes as they practise.<h2>Motivation and Engagement</h2>AI can also keep students motivated. Some tools use gamification, points, badges, or even animated characters to make lessons engaging. The University of Illinois found that “personalised systems improve learner motivation by giving relevant and challenging tasks.” For children, AI tutors can even appear as virtual instructors based on familiar characters, making learning feel interactive and fun.<h2>The Future of Personalised Learning</h2>While AI tools are not a replacement for teachers, they can make education more inclusive and effective. Teachers can use AI reports to see exactly where students need help, saving time in crowded classrooms. UNESCO has stressed that AI should remain a support system, ensuring “teachers guide critical thinking while AI handles routine and repetitive tasks.”&nbsp;As technology develops, personalised learning may become a standard part of schools, bringing private-tutor style teaching to more students at scale.

AI in education is changing classrooms with personalised lessons, instant feedback, and engaging. It helps reduce learning gaps and motivates students. Teachers still guide thinking, while AI supports learning. Know more below.

Artificial intelligence (AI) is slowly becoming part of classrooms and learning apps worldwide. AI can adjust lessons to fit each student’s needs. It can be personalised for each learner, where every learner follows a path built around their strengths, weaknesses, and goals. According to a 2023 report by UNESCO, AI-based education tools can “create individual learning pathways” and help reduce learning gaps, especially in large classrooms. Platforms such as Duolingo and DreamBox already use AI to adapt lessons in real time based on student performance. How AI Builds Learning Paths AI systems collect data on how a student performs in quizzes, assignments, and practice exercises. They then analyse this information to design a customised learning journey. A report by the Organisation for Economic Co-operation and Development (OECD) noted that adaptive systems can quickly identify “where learners are struggling and adjust content accordingly.” This means a student strong in grammar but weak in vocabulary gets extra vocabulary practice while moving ahead in grammar. Adaptive Content and Feedback AI tutors can change the difficulty of tasks automatically. If a student solves problems easily, the system moves them to advanced topics. If they struggle, it gives extra practice or simpler explanations. Immediate feedback is another advantage. A study published found that students using AI-powered platforms received corrections instantly, which improved concept mastery faster than waiting for teacher feedback. Language apps like Duolingo use this approach, showing learners their mistakes as they practise. Motivation and Engagement AI can also keep students motivated. Some tools use gamification, points, badges, or even animated characters to make lessons engaging. The University of Illinois found that “personalised systems improve learner motivation by giving relevant and challenging tasks.” For children, AI tutors can even appear as virtual instructors based on familiar characters, making learning feel interactive and fun. The Future of Personalised Learning While AI tools are not a replacement for teachers, they can make education more inclusive and effective. Teachers can use AI reports to see exactly where students need help, saving time in crowded classrooms. UNESCO has stressed that AI should remain a support system, ensuring “teachers guide critical thinking while AI handles routine and repetitive tasks.” As technology develops, personalised learning may become a standard part of schools, bringing private-tutor style teaching to more students at scale.

AI in education is changing classrooms with personalised lessons, instant feedback, and engaging. It helps reduce learning gaps and motivates students. Teachers still guide thinking, while AI supports learning. Know more below.

Personalised learning with AI: How classrooms are evolving explained

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NITI Aayog calls for AI-driven learning and local task forces to strengthen school outcomes

Personalised learning with AI: How classrooms are evolving explained