AI for Students: Benefits, Risks & Examples

The National Education Policy (NEP) 2020 has already nudged schools towards digital integration, but the surge in using AI for students goes beyond digitisation. It’s about creating a learning ecosystem that adapts to individual needs, while helping teachers save time and gain insights.

Globally, surveys show 86% of students already use AI in their studies, and India, despite its digital divide, is catching up fast.

However, with opportunity comes responsibility. Schools must balance the benefits of AI for students with a clear-eyed view of its risks. This blog explores the potential, pitfalls, and real-world examples of how students can use AI.

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Also Read: AI in Education

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Benefits of AI for Students

AI’s biggest strength lies in its ability to adapt. This is something traditional teaching models often struggle with in large, diverse classrooms. Here’s how AI technology for students is making a difference:

1. Personalised Learning

   No two students learn at the same pace or in the same manner, yet the curriculum often assumes they do. AI platforms analyse a student’s performance, pinpoint strengths and weaknesses, and adjust content accordingly. Over time, this tailored pacing boosts both understanding and confidence.

2. Support for Exam Preparation

   India’s exam culture demands precision and practice. AI-driven tools generate mock tests, practice questions, and adaptive revision schedules, ensuring students don’t just cram but revise strategically.

3. Bridging Learning Gaps

   It’s no secret that Indian classrooms face significant learning disparities, particularly between urban and rural schools. AI can help bridge these gaps by analysing performance data and delivering targeted interventions, whether it’s remedial reading comprehension exercises or advanced STEM challenges.

4. 24×7 Doubt Solving and Self-Paced Learning

   With AI chatbots and virtual tutors, students don’t have to wait for the next class to clear doubts. Extramarks’ Extra Intelligence offers Student Co-Pilot, providing instant video-assisted solutions around the clock. This empowers self-paced learning, crucial for students balancing schoolwork with competitive exam prep.

5. Language Learning

   For India’s multilingual classroom setups, AI is a game-changer for students in language learning. Tools like speech recognition can help perfect pronunciation, while grammar correction enables more confident communication in English or other second languages.

6. Time Management

   AI-assisted planners and reminder systems help students allocate study time wisely. This way, students can receive a weekly plan that balances school homework, tuition assignments, and revision, helping them reduce last-minute stress.

7. Interactive and Immersive Learning

   AI integrated with AR/VR allows complex concepts to be experienced, not just read. Students can use AI to explore abstract concepts like the solar system or quantum physics in 3D. Such experiences make learning engaging and memorable.

8. Early Skill Development in AI and Coding

   Platforms offering beginner-friendly coding and AI courses allow students to develop future-ready skills early, preparing them for tech-driven careers.

Risks of Using AI for Students

While promising, AI isn’t risk-free. Schools must navigate these challenges thoughtfully.

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Also Read: AI Challenges in Education

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1. Overdependence on AI for Assignments

   Risk: Students may use AI to complete homework without genuine effort.

   Solution:

   • Encourage the use of AI for explanations, not just final answers.
   • Design hybrid assignments requiring both AI input and student reasoning.
   • Ask students to orally explain their solutions.

2. Decline in Original Thinking and Creativity

   Risk: Copy-pasting AI outputs, like AI-generated project ideas, essays, or answers, can stifle creativity and hinder independent thinking.

   Solution:

   • Encourage AI for brainstorming only.
   • Incorporate reflective essays and creative projects.
   • Hold debates or presentations based on AI-generated prompts.

3. Lack of Awareness About Data Privacy

   Risk: Students may unknowingly share personal data or school-related information within the AI apps or platforms.

   Solution:

   • Teach digital safety basics.
   • Use school-approved AI platforms.
   • Involve parents in monitoring app usage.

4. Use of AI for Cheating

   Risk: AI can be misused in tests, where students may simply use it to look up answers during an online test.

   Solution:

   • Apply plagiarism checks.
   • Use viva-style assessments and design assessments that require class presentations, oral components, or personalised responses.

   With Extramarks Extra Intelligence, teachers can generate dynamic questions that can change with every click. So, each click comes with a new version of the same question, making it cheat-proof!

5. Blind Trust in AI Outputs

   Risk: AI may give factually wrong or curriculum-inappropriate content. But students using AI for learning may not be able to differentiate it and blindly trust what’s presented.

   Solution:

   • Teach students to always verify the AI responses and content with NCERT materials or the teacher’s notes.
   • Teach them that even AI can be wrong, and they should never blindly put their faith in it.
   • It’s also a good idea to encourage students to always double-check with the teachers by asking them about their doubts.

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   Also Read: Misconceptions of AI in Education

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6. Excessive Screen Time

   Risk: To access AI, students will need to use smartphones, tablets, or computers. This increases their screen time, causing distraction or longer screen exposure.

   Solution:

   • Implement 30-minute AI study cycles, where students get a daily tech-use timing, and then they have to study offline.
   • You can use focus apps or enable parental controls so there’s a restriction on accessing features that are not learning focused.
   • Pair AI with offline activities, like reading aloud or writing in their notebooks.

Examples of AI for Students

Seeing how AI technology for students works in everyday learning can make its benefits clearer. Here are some examples:

1. AI-Powered Learning Apps

   AI-driven learning platforms assess a student’s current knowledge level, pace of learning, and subject preferences. Based on this, they dynamically adjust content difficulty, suggest relevant topics, and provide targeted practice.
   Example: If a student struggles with fractions but excels in algebra, the app automatically prioritises extra fraction practice while keeping algebra lessons challenging. This personalised approach boosts understanding and keeps learners motivated.
   With Extramarks, these AI-powered paths are closely aligned to the CBSE, ICSE, and various state boards, ensuring that students prepare in sync with their curriculum.

2. Homework Helpers & Doubt-Solving Bots

   AI-based homework assistants and doubt-solving bots provide instant answers to academic questions across multiple subjects. Using natural language processing and machine learning, these tools understand the context of the student’s question and offer clear, step-by-step explanations. This reduces dependency on tutors and encourages independent learning.
   Extramarks’ Student Co-Pilot feature integrates an AI-powered chatbot that helps students solve doubts 24×7, ensuring that learning continues seamlessly beyond the classroom.

3. AI Writing & Grammar Tools

   AI writing tools support students in developing strong communication skills. They automatically detect grammar errors, suggest improved vocabulary, and refine sentence structure for better clarity. This not only improves the quality of assignments but also trains students to write with accuracy and confidence from an early stage.
   Such tools can also help teachers by reducing the time spent correcting avoidable errors, allowing them to focus on conceptual understanding.

4. Voice-Based Learning Assistants

   Voice-enabled AI makes learning for students more accessible, particularly for auditory learners. With simple voice commands, students can ask questions, hear definitions, receive summaries, or listen to entire lessons hands-free. This interactive approach creates a more natural connection between students and educational content, helping them stay engaged even during self-study.

5. AI Exam Preparation Tools

   AI plays a critical role in exam readiness. It analyses a student’s performance trends, identifies weak areas, and recommends targeted practice materials. Personalised quizzes, mock tests, and revision schedules are generated automatically, ensuring students spend time on topics that matter most.
   Extramarks uses AI technology to offer adaptive mock tests, personalised remedial lessons, and instant feedback, making exam preparation strategic and efficient.

6. AI for Career & Skill Guidance

   AI tools can study a student’s academic strengths, personal interests, and behavioural patterns to offer career suggestions tailored to their potential. Based on these insights, students get early direction on which subjects or skills to develop further.
   Extramarks supports this with its Career Assessment Programme, ensuring students make informed academic and career choices right from school.

7. AI-Based Performance Trackers

   These AI systems track academic progress by monitoring test scores, topic completion rates, and engagement levels. They generate detailed insights for teachers, parents, and students, making it easier to identify areas needing improvement and celebrate progress.
   With Extramarks’ dashboards, performance tracking is deeply integrated into the learning journey, ensuring that interventions are timely and effective.

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Related Read: Tracking Student Progress

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How ExtraAI by Extramarks is Shaping the Future

As AI continues to make changes for Indian students and prepare them for a digital world ahead, Extramarks’ ExtraAI is here to guide them and teachers as well to bridge the learning gaps and make a classroom that’s more inclusive and adaptive.
Here are some of our features that can help make learning better for students:

• Teacher Assistant: Generates customised, syllabus-aligned lessons with media-rich content.
• Collaborative Learning Tools: Creates group activities, polls, and live quizzes to boost engagement.
• Intelligent Assessment Suite: Automates evaluation, including subjective answers, based on Bloom’s taxonomy.
• 24×7 Student Co-Pilot: Gives guided doubt resolution during lessons.
• Curriculum Mapping & Multilingual Support: Aligns AI content with specific boards and supports regional languages.

Conclusion

The future of AI for students in India is not about replacing teachers, but about empowering them to teach more effectively. With thoughtful integration, AI can bridge learning gaps, personalise teaching, and prepare students for a future where digital literacy is as critical as academic knowledge. In line with the vision of the National Education Policy (NEP) 2020, AI can strengthen inclusive, flexible, and skill-driven learning, ensuring that technology becomes a partner in building a future-ready education system.

Last Updated on September 29, 2025