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Problem / Objective :

One of the biggest challenges facing the education sector is the quality of education imparted, which leads to low-learning levels. Educational organisations are not able to precisely identify the learner, which is why learning gaps exist across various domains and grades. It is important to diagnose the needs of the learners and provide an effective solution. 

Solution / Approach:

A B2B ed-tech SaaS platform, Jungroo Learning set out to help educational institutions and NGOs with adaptivity and personalisation in order to make their existing system intelligent and cater to the unique needs of the learner. Jungroo’s product offerings include an adaptive assessment engine, an adaptive learning engine, automatic question generator, and a low-cost real-time classroom polling system. 

Jungroo Learning identifies the learner at an atomic level and guides him/her to the required learning destination using an AI-based adaptive assessment engine. Their engine creates personalised learning journeys for each student using reinforcement learning. Based on several parameters, it calculates the engagement score at the back-end and takes the students through the shortest path to mastery, then measures the growth of a student at different points in time. 

Impact / Implementation:

Through automating the entire process of assessment creation, evaluation, reporting, and analysis, the solution saves resources and time for organisations. Their automatic question generator reduces the burden of creating assessments and evaluating and allows organisations to create any number of questions. Their classroom polling feature allows real assessments in classrooms, which also contributes to increased student engagement. 

Sources of Case study

Source: NASSCOM COE-DSAI AI for Good report

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