On AI’s role in teaching-learning process
At our school, Artificial Intelligence is significantly enhancing the teaching-learning process, especially when integrated with Google for Education tools. AI-driven features in tools like Google Classroom, Google Docs, and Google Forms support teachers in streamlining administrative tasks, auto-grading, and offering personalized feedback.
Tools like Google’s ‘Practice Sets’ in Classroom use AI to suggest hints and resources tailored to each student’s level, helping bridge learning gaps effectively. As educators, we use AI for creating differentiated lesson plans, analyzing student performance patterns through dashboards, and even generating inclusive content that supports diverse learning needs.
For students, AI tools enable voice typing, real-time translation, and accessibility features that foster equity in learning. Overall, AI acts as a collaborative partner that empowers both teachers and learners to be more effective, reflective, and future-ready.
On impact of tools
In our school, we are actively integrating AI tools within our Google Workspace for Education environment. Key platforms include: Google Classroom with Practice Sets: These use AI to provide real-time hints, feedback, and personalized support, increasing student engagement and helping them take ownership of their learning.
Google Forms (with auto-grading and response validation): This helps in quick assessments, enabling teachers to analyze learning gaps and respond promptly.
Text help Read & Write and Equatio (AI-powered accessibility tools): These support students with learning difficulties, enhancing inclusivity and comprehension.
MagicSchool.ai and Notebook LM: These assist teachers in creating differentiated content, including levelled reading materials and activities aligned to learning goals. AI-based chatbots and assistants (like ChatGPT for educators): These are used by teachers for lesson planning, idea generation, and even reflective practice. Impact: These tools have noticeably increased student engagement, especially through personalized learning pathways and instant feedback.
Students are more motivated as they receive support tailored to their pace and style. Teachers also report better learning outcomes as they are able to use insights from AI tools to adapt teaching strategies and provide timely interventions.
On replacing teaching functions
AI can effectively support certain teaching functions, but not replace the teacher’s core role. AI is best viewed as a co-teacher that enhances efficiency and personalization. AI can support: Administrative tasks like grading objective assessments, tracking attendance, and managing schedules.
Content creation, such as generating differentiated worksheets, quizzes, or even interactive presentations using tools like MagicSchool.ai . Personalized learning, by offering real-time feedback and adaptive pathways based on student performance—like Google’s Practice Sets or AI tutors.
Data analysis, helping educators identify learning gaps and tailor instruction accordingly. Accessibility, supporting students with diverse learning needs through AI-powered tools like voice typing, translation, and text-to-speech.
However, AI cannot replace the emotional intelligence, mentorship, and human connection that teachers bring. Skills like critical thinking, collaboration, empathy, and ethics still require the nuanced guidance of a teacher. So, AI is here to empower educators, not replace them.
On integrating AI in classroom
One of the biggest challenges in integrating AI into everyday classroom practices is ensuring equitable access to technology. Not all students or schools may have the infrastructure—such as reliable internet, devices, or updated software—needed to fully utilize AI tools.
Other key challenges include: Digital literacy: Both teachers and students need training to use AI tools effectively and responsibly. Without proper professional development, AI adoption may remain superficial. Data privacy and ethics: Using AI tools often involves sharing student data. Ensuring compliance with data protection norms and teaching ethical AI use is crucial. Overdependence on automation: While AI can streamline many tasks, over-reliance might reduce opportunities for human interaction, creativity, and critical thinking.
Curriculum alignment: Integrating AI meaningfully into lesson plans while staying aligned with CBSE or other curriculum requirements can be complex. Resistance to change: Some educators may be hesitant or skeptical about adopting AI due to lack of exposure, fear of job displacement, or unfamiliarity. To overcome these challenges, we need strong digital leadership, ongoing capacity building, clear policies, and a student-centered approach to technology integration.
On equipping teachers
We are preparing our teachers and staff to adapt to AI-based tools and methodologies through a structured approach and workshops: We regularly conduct training sessions on AI-powered tools like Google Practice Sets, MagicSchool.ai, Diffit, and Read & Write to demonstrate practical classroom applications.
Teachers are encouraged to experiment with AI tools during lesson planning and assessments. We use real-life classroom scenarios to build confidence. Peer learning and mentoring: We promote collaborative learning through teacher tech champions who mentor others and share best practices in staff meetings or micro-training sessions. Ethics and digital citizenship:
We ensure that AI tools are embedded into our current Google Workspace ecosystem, making adoption smooth and relevant. By combining training, mentorship, and a supportive environment, we’re building teacher readiness for AI while keeping student learning at the center.
On personalized learning
Platforms like Google’s Practice Sets or AI-based quizzes adjust the difficulty level in real time based on student performance, ensuring that each learner progresses at their own pace.
AI tools like Diffit and MagicSchool.ai allow teachers to generate the same lesson or topic at different reading levels or in multiple formats—text, visual, or interactive—catering to varied learning styles and abilities. Support for learning disabilities: Tools like Text help Read & Write offer text-to-speech, speech-to-text, and translation features that support students with dyslexia, ADHD, or language barriers, making learning more accessible. Real-time feedback and guidance:
AI enables students to get instant hints, corrections, and scaffolding during independent work, reducing frustration and promoting self-directed learning. Language and communication support: AI translation and voice typing features in Google Docs and Forms help multilingual learners and those with speech or writing challenges express themselves better. By using AI strategically, we can create more inclusive classrooms where every student—regardless of ability—receives the right support at the right time.
Support needed from Government
For AI implementation to be effective and sustainable in schools, a multi-layered support system is essential, involving government policy, infrastructure, and professional development. Key areas of support include: Policy and Guidelines: Clear national and state-level policies on the ethical use of AI in education, data privacy, and age-appropriate AI usage.
Integration of AI literacy and digital citizenship into the curriculum, especially as aligned with NEP 2020 and CBSE’s future skills framework. Reliable internet connectivity, sufficient digital devices (laptops, tablets), and updated software across urban and rural schools. Investment in cloud-based learning environments like Google Workspace for Education or AI-integrated Learning Management Systems (LMS). Teacher Training & Capacity Building: Government-funded and board-supported professional development programs focused on AI tools, pedagogy, and inclusive practices. Access to certified training modules in regional languages to ensure equity in teacher preparedness.
Funding and Grants or public-private partnerships to pilot AI initiatives and purchase licensed AI tools tailored for education. Support for creating open educational resources (OER) powered by AI for content generation and personalized learning. Monitoring and Evaluation: Frameworks to evaluate the impact of AI on learning outcomes, student engagement, and teacher effectiveness. Platforms for schools to share best practices and scalable AI integration models. With collaborative efforts from policymakers, educational boards, and tech partners, schools can truly harness AI to foster inclusive, future-ready learning environments.
