Scroll through any popular Indian EdTech livestream and you’ll see a digital lecture hall packed with hundreds, sometimes thousands, of students. Most are silent, their cameras off, their questions hardly voiced. The teacher keeps speaking, the clock keeps ticking, and the content keeps flowing in one direction.
It’s a strange sight in 2025, when AI-powered assistants can deliver answers instantly. Yet the majority of students preparing for high-stakes board exams still choose mass lectures over AI tools.
The Searchbot Problem
In a 2025 adoption study, complex tasks such as structured, mark-scheme-aligned or multi-step derivations accounted for only a small fraction of AI usage. Students trust generic AI chatbots for quick facts, not for the core grind of exam prep [1]. Part of that hesitation comes from experience. Another study reported that just 6% of students rated AI responses “highly accurate,” while nearly 70% flagged problems like irrelevant content, lack of customisation, or factual mistakes [2].
Why Mass Lectures Still Feel Safer
For a student staring down CBSE boards or state-level finals, “close enough” answers don’t cut it. Exam prep in India demands:
• Complete syllabus specific coverage without gaps
• Step-by-step solutions that mirror marking schemes
• Adaptive revision strategies that respond to past mistakes
Generic AI chatbots are built for breadth, not precision. They can define a term or summarise a topic, but they don’t auto-track whether a student repeatedly misses the same syllabus-specific step or adjust a test to target that weakness. That’s why, despite the chaos of large batches, livestream classes still win. They feel structured. They feel familiar. And crucially, they feel exam-aligned.
The Missing Middle: AI Tutors That Teach Like Teachers
Bridging the gap between searchbot and super-batch requires a different kind of system, one that behaves like a committed human tutor, not an encyclopaedia with a chatbox. A true AI personal tutor would also:
• See the student’s actual notes or textbook via screenshare
• Co-solve on a shared whiteboard, working through each step
• Retain memory of past sessions to avoid repeating ineffective explanations
Where Edza AI Fits In
This is the space Edza AI was designed to occupy. It doesn’t try to answer questions on every subject under the sun, it focuses on the chapters, papers, and marking schemes that matter to a student’s immediate board exam goals.
Instead of acting like a search engine, Edza AI behaves like a good tuition teacher: precise, adaptable, and patient. It pulls from previous years’ papers, follows CBSE or state board marking schemes, and remembers progress session after session.
After a strong Class 10 debut, Edza AI is expanding to Classes 11 and 12 from August 15, 2025, bringing its one-on-one, syllabus-aware tutoring model to senior secondary students preparing for board and competitive exams across multiple boards.
A Coming Shift in Habits
If students begin to see AI that teaches, not just answers, the appeal of 1,000-student livestreams could start to erode. When a tutor can look at your own work, explain in your own words, and know what you’ve struggled with before, the trade-off between trust and scalability disappears. India’s exam prep doesn’t need more videos or more massive lecture halls. It needs personalised, syllabus-true, outcome-driven teaching at scale. AI personal tutors, built with that mission, could deliver it.
References
[1] Singh, V., & Agrawal, R. (2025). Exploring the Role of Generative AI in Indian School Education: A Quantitative Study on ChatGPT’s Adoption Patterns. arXiv preprint arXiv:2505.24126. https://arxiv.org/abs/2505.24126
[2] Pandey, V. (2024, March 28). Half of Delhi students surveyed rely on AI for studies, but trust and access remain hurdles: Study. The Times of India. https://timesofindia.indiatimes.com/city/delhi/half-of-delhi-students-surveyed-rely-on-ai-for-studies-but-trust-and-access-remain-hurdles-study/articleshow/122393200.cms
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Searchbots vs AI Personal Tutors—And Where Edza AI Fits In
