How The Use of Agentic AI in Education is Making Classrooms Smarter in 2025

The biggest problem in our schools isn’t just outdated textbooks. It’s that every student is treated the same, no matter how they learn.

Agentic AI is changing that. It works like a personal tutor for each learner, guiding them, tracking their growth, and adjusting content in real time.

While teachers get live insights, students get faster support. Ultimately, schools get better results without hiring more staff.

In India, adoption is still early. But models like Century Tech in the UK^[1] or Jill Watson at Georgia Tech show what’s possible.

This isn’t just EdTech with a new name. It’s part of a larger shift in how agentic AI is redefining the future of AI automation. It’s a smarter, goal-driven layer that personalises learning at scale. The kind that boards care about because it improves outcomes and lowers friction.

Let’s break down where it works, how to apply it, and what results you can expect in 2025.

Why 2025 demands smart classrooms

The classroom isn’t just competing with other schools anymore! It’s competing with YouTube, ChatGPT, and every distraction in a student’s pocket. Attention spans are shorter, expectations are higher, and learning can’t afford to be one-size-fits-all anymore.

Smart classrooms are the baseline for staying relevant, especially in India’s fast-growing education market.

Here’s why change can’t wait:

• Teacher-student ratios are still too high in most schools

• NEP 2020 pushes for personalised and flexible learning paths

• Admin work eats into time that should go to mentoring

• Learning data often stays unused or arrives too late

• Parents now expect proof of progress beyond just report cards

Smart classrooms powered by agentic AI solve these gaps, without adding more staff or systems.

5 core applications of agentic AI in education industry

Agentic AI is changing how schools function. From support to automated operations, here’s where personalised learning agents deliver real results:

1. Adaptive tutoring for every learner

Adaptive educational technologies track how each student learns, responds, and struggles. It then adjusts the difficulty, pace, and style of instruction in real time.

At Carnegie Mellon, Cognitive Tutor^[2] increased maths achievement by adapting to student inputs mid-task. Instead of fixed chapters, it offers targeted hints, varied question paths, and intelligent pacing - like a human tutor would.

Cognitive Tutor is one of many agentic AI tools for businesses that personalise decision-making based on real-time behaviour.

2. Real-time feedback and faster assessments

AI-powered tools like Gradescope^[3] cut down grading time by over 30%. They also flag misconceptions as they happen, not after the exam.

That means faster feedback for students and more time for teachers to coach instead of marking. Some systems even auto-generate personalised review material based on student performance.

3. Intelligent curriculum planning

Agentic AI analyses cohort-level performance and recommends curriculum tweaks on the fly. If students are struggling with a concept, the system can reorder topics, suggest new resources, or even simplify the delivery. This aligns with the principles of agentic architecture in AI, which enables systems to plan, adapt, and grow with every input.

UK-based Century Tech does this at scale. It gives teachers daily dashboards showing comprehension gaps and auto-curates the next lessons based on what learners need most.

4. Autonomous classroom support

AI agents can now handle tasks like attendance tracking, routine Q&A, content reminders, and even behavioural nudges. Georgia Tech’s “Jill Watson” AI assistant^[4] responded to thousands of student forum queries with near-human accuracy, reducing faculty load without hurting learner satisfaction.

This makes hybrid and online classrooms easier to manage, without adding headcount.

5. Inclusion and accessibility

For students with disabilities, agentic AI makes learning more accessible. It generates adaptive interfaces, voice instructions, translated transcripts, and visual aids on demand.

The World Economic Forum^[5] estimates these tools could benefit over 700 million children globally who face learning barriers.

Benefits of using agentic AI in the classroom

Agentic AI in education is changing the way learning and teaching happen by making them more efficient. It adapts to the needs of students, educators, and institutions to create smarter, goal-driven learning environments.

Here are some of the most important ways that agentic AI can help education:

• For students

Agentic AI creates learning paths for each student that are based on their strengths and areas for improvement. It helps students stay focused and learn at their own pace by giving them immediate feedback and ongoing support.

• For Teachers

Agentic AI takes care of boring administrative jobs like attendance and grading, giving teachers more time. It also offers adaptive teaching materials based on student performance, which helps teachers give more interesting and useful lessons.

• For Institutions

Agentic AI helps students do better by finding early knowledge gaps. It has scalable solutions for traditional classrooms, online courses, or hybrid models. It also provides detailed analytics to help people make smart decisions and improve their academic progress.

Challenges and limitations of agentic AI in education

Agentic AI in education innovates classrooms but also introduces new challenges. We must know its weaknesses to make the most of it:

• High cost and infrastructure barriers: Schools need a strong digital infrastructure to support agentic AI. For many institutions, especially in rural or low-income areas, this can be a major hurdle.

• Educator training and support gaps: Teachers must learn how to work alongside AI, interpreting data, making decisions, and keeping the human touch alive in the classroom.

• Data privacy and ethical concerns: With AI collecting massive amounts of student data, rigorous privacy and use guidelines are needed. One way forward is by exploring human-in-the-loop and approval systems for AI agents to preserve oversight and trust.

• Overuse of technology: If we overuse agentic AI, we risk reducing human engagement in learning, which is essential for emotional and social development.

Agentic AI vs traditional EdTech systems

Agentic AI is making education smarter and more personalised. It adapts in real time to each learner's needs, making it more interesting and effective than traditional EdTech.

Here’s a quick comparison between the two approaches:

Operating models and procurement playbook: Build, buy, or partner?

Agentic AI isn’t something you plug in overnight. Choosing the right operating model is key to delivering value fast, without overwhelming your teams or blowing up your IT budget.

Here are the three most effective models schools and education groups are using:

1. Build in-house (high control, high cost)

Ideal if you have a strong internal tech team and a long-term AI roadmap.

• You define the use cases, data flows, and student privacy rules

• Can be customised to local language, curriculum, and pedagogy

• Requires upfront investment in infra, AI talent, and compliance

When to use: You’re a well-funded institution with strong R&D support.

Learn how to build AI agents to scale your education business

2. Buy a platform (fastest time-to-value)

You license existing AI tools like Century Tech, Gradescope or Suraasa.

• Ready-to-deploy with proven impact in similar schools

• Comes with support, training, and updates

• May have limits on customisation or data ownership

When to use: You need quick results with minimal lift from your IT team.

3. Partner to co-develop (best of both worlds)

You collaborate with an AI provider or edtech startup to shape the solution.

• Allows curriculum alignment and deeper integration

• Reduces cost and risk while keeping local relevance

• Creates shared incentives for long-term success

When to use: You want something tailored but don’t want to build from scratch.

Smart procurement doesn’t stop at buying tech. Set clear goals, align with your pedagogy, and build capacity across teaching staff. That’s how agentic AI moves from pilot to core advantage for your business.

12-month action roadmap to pilot and scale

Agentic AI works best when it’s introduced with purpose, not pressure. Here's a clear, phased plan to pilot, validate, and scale AI across your institution in 12 months:

Months 1-2: Align and prioritise

• Define core goals: personalisation, admin efficiency, or inclusion

• Audit current tools, data flows, and learning gaps

• Secure leadership buy-in and identify a pilot team

Months 3-4: Select the right model

• Choose your operating model: build, buy, or partner

• Shortlist vendors or co-development partners like GrowthJockey

• Review data security, compliance, and integration needs

Months 5-6: Run a pilot in a controlled environment

• Test with 1-2 subjects, year groups, or campuses

• Train teachers, set benchmarks, and collect live feedback

• Measure engagement, performance shifts, and operational impact

Months 7-9: Refine and expand

• Analyse results and resolve gaps in adoption or UX

• Extend the pilot to more classes or departments

• Build internal champions among teachers and IT staff

At this stage, some schools also test multi-agent systems in AI to handle content, support, and analytics in parallel.

Months 10-12: Institutionalise and scale

• Set SOPs for training, support, and governance

• Roll out across the school or network

• Share outcomes with boards, parents, and policymakers

You don’t need to get it perfect on day one. But you do need a path that earns trust, proves value, and scales with care. This roadmap gives you exactly that!

Future of agentic AI in learning environments

The future of agentic AI in education will see a shift from automation to human-AI collaboration in schools, creating learning spaces that are more adaptable and inclusive.

Here's what we can expect:

• As technology becomes more affordable, more schools and institutions will embrace education-focused agentic systems to personalise learning and boost outcomes.

• Future agentic AI will recognise students' emotions, allowing for more compassionate support and deeper engagement in the classroom.

• When you blend agentic AI with AR/VR, you can create virtual field trips, interactive labs, and simulations that bring ideas to life.

• Customised learning paths can help people of all ages learn new skills or improve the ones they already have.

• AI platforms will connect classrooms worldwide, closing the digital gap and ensuring that everyone has the same opportunities to learn.

How GrowthJockey helps education move forward responsibly with agentic AI

Agentic AI is not about adding more tools to the classroom. It’s about giving every learner what they actually need at the right time, in the right way.

For schools, this means faster insights, lower admin load, and more time for real teaching. For students, it unlocks pace-matched support, better outcomes, and a more human learning experience.

Getting there takes more than software. It takes the right design, rollout, and team. That’s where GrowthJockey helps businesses to implement AI and ML Solutions in their processes seamlessly.

We work with schools and education startups to pilot AI systems responsibly, drive adoption, and turn early wins into long-term gains.

If you’re rethinking how your institution learns, this is the shift to act on.

FAQs on agentic AI in education

1. What is agentic AI in education?

Agentic AI in education refers to systems that make decisions, act independently, and learn over time. It includes personalised learning agents, autonomous tutoring systems, and adaptive educational technologies. These tools adjust to each learner in real time and support teachers with insights. They help schools move from fixed lessons to intelligent, data-driven instruction that adapts as students progress.

2. How do personalised learning agents improve outcomes?

Personalised learning agents guide students based on how they learn, what they struggle with, and where they show progress. They adjust content in real time and give instant feedback.

When combined with real-time learning analytics, they help teachers understand each learner’s journey and improve outcomes. This leads to stronger engagement and more effective support across different learning styles.

3. How does agentic AI support classroom management?

AI in classroom management helps with routine tasks like attendance, behaviour tracking, and answering student queries. These tools create goal-driven learning environments where teachers can focus more on coaching and less on admin. By acting as education-focused agentic systems, they make hybrid and in-person classrooms easier to manage at scale without extra staff.

4. What does human-AI collaboration in schools look like?

Human-AI collaboration in schools means teachers and agentic systems working together. The AI handles insights, recommendations, and support tasks. Teachers stay in control, focusing on creativity, empathy, and guidance. This approach is key to education-focused agentic systems that enhance learning without replacing the human touch that students still need.

1. Century Tech in the UK - Link ↑
2. Cognitive Tutor - Link ↑
3. Gradescope - Link ↑
4. “Jill Watson” AI assistant - Link ↑
5. World Economic Forum - Link ↑