ConveGenius joins hands with NITI Aayog and UP Government to Transform Education with Bold Outcome-Based EdTech Model

 ConveGenius, a leading EdTech company, has joined forces with NITI Aayog and UP Government to pioneer a visionary outcome-based EdTech model that aims to transform the education landscape in India, creating a brighter future for students and reimagining how public-private partnerships operate. This exciting collaboration puts learning outcomes front and center, using a pay-for-success approach to drive real educational impact.

With the visionary leadership of NITI Aayog, this game-changing EdTech program has begun this academic year with a clear mission to enhance learning outcomes in four aspirational districts of Uttar Pradesh: Chandauli, Sonbhadra, Balrampur, and Fatehpur. This first-of-its-kind initiative, in collaboration with MSDF (Michael and Susan Dell Foundation) and GDi Partners, aims to elevate the learning levels of students in grades 3 to 8 across 280 schools, reaching 70 schools per district. Instead of just spending money, the focus is now on spending better in education, making sure every rupee counts for real learning gains.

The core of the ambitious program lies in ConveGenius’ Personalized and Adaptive Learning (PAL) solution, CG PAL. The solution employs artificial intelligence to identify learning gaps in students and tailor their learning journey accordingly to address those gaps. It also empowers teachers with actionable reports, lesson plans, and a comprehensive dashboard to monitor student progress in different learning competencies.

Specifically, the goal is for all participating students to achieve an additional two years of learning gain (YLG) compared to non-participating students during the two-year program. To ensure credibility and transparency, an independent third-party agency will conduct baseline, midline, and endline evaluations to track and verify the learning gains. ConveGenius is taking the risk by only getting paid if they achieve the targeted learning outcome goal. This shows their strong belief in their PAL solution and its ability to make a real difference in the students’ lives.

Shri Nikhil Tikaram Funde, IAS 2014, District Magistrate of Chandauli, Uttar Pradesh, expressed confidence in the program, highlighting the potential benefits for students and teachers. He emphasized that personalized and adaptive learning modalities would significantly improve learning outcomes in basic education. The outcome-based payment structure ensures accountability for the EdTech partner (ConveGenius) throughout the project’s duration.

Viprav Chaudhary, Vice President at ConveGenius, lauded India’s progress in education and emphasized the potential impact of this partnership. By combining EdTech and outcome-based funding, this program sets the stage for a data-driven education system where student progress is the top priority. The success of this endeavor is set to resonate across the entire EdTech industry, inspiring further adoption of pay-for-success models nationwide.

To ensure seamless execution, ConveGenius has already set up 280 PAL Labs within a remarkably short span of eight weeks, equipped with cutting-edge PAL technology to support personalized learning journeys. Each student now has their own profile on PAL tablets, and teachers have received extensive training to make the most of the CG PAL solution.

Rahul Garg, Assistant Vice President at ConveGenius, expressed the organization’s commitment to democratizing quality EdTech for all students (#SabkaEdTech). This program presents an opportunity not only for ConveGenius but for the entire EdTech industry to demonstrate the efficacy of EdTech in improving student learning outcomes.

Mohit Bahri, Co-founder at GDi Partners, said that this is the first time in the country the Government is playing a role of an outcome funder for EdTech. Instead of just spending taxpayers’ money on setting up ICT Labs, the government is buying measurable results by linking the payment of ConveGenius with targeted gains in student learning levels. The success of this program may define a new era of results-based procurement in the government ecosystem.