LearnHaus AI develops human-centered AI tools that measure hidden cognitive skills, such as critical reasoning, for education and professional development. The platform utilizes machine learning models based on extensive cross-disciplinary research to provide accurate analytics. These insights are delivered as actionable feedback designed to improve performance and strategic decision-making.
Funding
Funding not disclosed
Founders
Product
Problem
Educators and organizations often lack effective tools to measure and track cognitive skills such as critical reasoning, hindering their ability to understand skill development and validate curriculum effectiveness. Traditional assessment methods may not provide actionable feedback or analytics to improve learning outcomes.
Solution
LearnHaus offers a machine learning-based platform that quantifies cognitive skills using algorithms developed from interdisciplinary research. The platform measures critical reasoning and other cognitive abilities, providing actionable feedback and analytics. This enables educators and organizations to identify and target students, track class-wide trends, and validate curriculum efficacy. The platform's measurement engine is built upon decades of research, providing insights into cognitive skill development and learning impact.
Target Audience
The primary users are educators and organizations seeking to measure, track, and improve cognitive skills, as well as professionals looking to enhance their future of work skills.
Features
- Machine learning-based assessment of cognitive skills, including critical reasoning
- Actionable feedback and analytics for educators and organizations
- Identification and targeting of individual student needs
- Tracking of class-wide trends in cognitive skill development
- Validation of curriculum effectiveness through data-driven insights
- Measurement engine based on over a century of cross-disciplinary research
- Human-centered design for actionable and useful analytics