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The EduRashi Approach

Not just Adaptive

EduRashi is beyond being only personalized and adaptive. It caters to the individual traits as well as the commons across the community.

Learning Quotients

Every individual responds differently to different types of learning. This is driven by the learning quotients associated with the learning type.

Singularity Via Similarities

EduRashi focuses on the individuals even as it works smartly generating the learning path most suitable for the Learner using ML algorithms.

Finding the true Peers

You are not alone with your strengths and weaknesses. EduRashi discovers your close peers as everyone learns putting that to everyone's benefit.

Learning Quotients

We have introduced different techniques that a learner can learn with.

Analogous

Examples driven teaching, where the learner relate the topics in the current learning to examples from multiple and diverse fields and responds well

Interactive

Quick and periodic validation of understanding to validate each and every step typically to address learners with low concentration levels.

Repetitive

Multiple and similar repeats of the explaination, typically for learners who need some time to grasp a concept

Regressive

Coverage of basics from previous learning pillars into current learning as the learner may have had weak prior learning experience with respect to the prerequisites.

Progressive

Citing examples of higher and advanced levels into the current learning as the learner may have the capacity to understand more complex subjects.

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