Its vast syllabus, analytical questioning trend and limited seats make it one of the most daunting examinations. Around 1.5 million aspirants write the exam every year, contending for about 60,000 seats in IITs, NITs, IIITs and GFTIS This adds up to a success rate of around 4 percent.
With lakhs of students vying for a limited number of seats in prestigious engineering institutions via JEE Main and Advanced, aspirants must strive for a defining competitive edge. To succeed, students must master a vast syllabus, excel in problem-solving, and develop a deep understanding of core subjects i.e., physics, chemistry, and mathematics. In such a high-stakes environment, traditional methods of studying may not be enough to give students the edge they need. This is where education technology steps in, revolutionizing the way JEE aspirants prepare.
The ed-tech scene has decisively changed with the advent of AI. It is no more limited to recorded videos or digital repositories. AI has added a layer of personalization to the ed-tech and that is paying huge dividends.
The outcomes for the students who are able to use AI-powered ed-tech optimally is hugely superior to their more conventional counterparts. This difference is going to become more and more stark.
This calls for high degree of tech adaptability on the part of competitive exam aspirants.
Personalized Learning at Scale
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