CognitBuild's Neoron platform uses AI and competency-based learning to personalize higher education. It identifies student knowledge gaps and delivers tailored content, aligning curriculum with in-demand skills to improve retention and career readiness.
Funding
Funding not disclosed
Founders
Product
Problem
Higher education institutions face significant student attrition rates, with traditional models failing to adequately prepare graduates for the demands of the modern workforce. This disconnect results in a skills gap and impacts student success and institutional reputation.
Solution
CognitBuild's Neoron platform addresses these challenges by leveraging artificial intelligence and competency-based learning to personalize the educational journey. The platform analyzes individual student learning patterns, identifies knowledge gaps, and delivers tailored content to enhance engagement and retention. By aligning curriculum with real-time market data on in-demand skills, Neoron ensures graduates are equipped with relevant competencies for career readiness. This data-driven approach aims to reduce dropout rates and improve overall student outcomes.
Target Audience
The primary customers are higher education institutions seeking to improve student retention and employability.
Features
- AI-powered student profiling to understand individual learning styles and needs.
- Competency-Based Learning (CBL) framework focusing on practical skill demonstration.
- Microlearning modules for efficient knowledge acquisition.
- Real-time market data integration to curate job-relevant curriculum.
- Predictive analytics to identify at-risk students for proactive intervention.
- Personalized learning pathways designed to improve student retention and academic success.