EduSense
An integrated AI system for Grades 6–12 schools built around real-time classroom sensing — detecting student attention and behavior as it happens, with optional predictive and adaptive layers when school data is available.
Demo
Aligned with United Nations AI in Education Vision
Based on the United Nations General Assembly report “Artificial Intelligence in Education” (A/79/520) published on October 16, 2024, EduSense aligns with the global vision of employing AI to support educational decisions.
As the report mention on page 9, subsection 2: D. Accountability and data analytics, states the following:
Learners’ interaction with education hardware and software generates vast amounts of data, which, when properly curated and analysed, help teachers understand student progress and support better decision-making by school leaders. By analysing educational data, AI algorithms identify patterns, trends and correlations to inform instructional strategies, curriculum design and student interventions.
Learning analytics fall into three categories: (a) descriptive analytics using dashboards, visualizations and customized reports monitor and manage student performance; (b) predictive analytics combine student data and learning management systems usage to predict trajectories and design interventions; and (c) adaptive learning software supports curriculum design.
Built Around Sensing — Extended by Intelligence
EduSense is an integrated AI system for Grades 6–12 schools. Its core is real-time classroom sensing — understanding what is happening with every student during class.
The foundation of EduSense. Uses AI-powered computer vision to monitor student attention and behavior in real time.
- Real-time attention detection per student
- Live classroom dashboard across all classes
- Cumulative reports by class, subject & teacher
- Distraction & mind-wandering alerts to teachers
When enriched with student academic records and historical data, EduLyzer uses machine learning to predict upcoming exam grades.
- Requires student academic history as input
- Combines attention data with academic variables
- Early identification of at-risk students
Powered by LLMs with guided prompt engineering, EduVisor provides a structured institutional environment for curriculum-aligned educational generation, supervision, and knowledge management.
- NetBot for teaching exploration and strategy generation
- EduBot for structured instructional content production
- Institutional supervision, evaluation, and reporting
From Classroom to Insight in Three Stages
Sense — Core
EduCam monitors every student in real time — detecting attention levels, identifying engagement patterns, and sending instant alerts.
EduCam · Always ActivePredict — Additional
When student academic records are provided, EduLyzer combines sensing data with historical performance to generate early predictions.
EduLyzer · With Student DataAdvise — Extended
When curriculum modules are provided, EduVisor generates adaptive content, personalized exercises, and strategic recommendations.
EduVisor · With Curriculum DataSchool Classrooms performance oversight
EduSense provides school leaders and teachers with a comprehensive visual interface that transforms complex classroom data into tangible, meaningful information and insights, through Monitoring engagement levels, track attention progress, and manage classroom dynamics through a single, unified Report board.
One System, Every Stakeholder
EduSense serves every layer of the school — from the classroom to the administrative office, for Grades 6–12.
Reliable, Accurate & Demonstrated in the Field
Three months of operational data from a real pilot deployment validated the accuracy, reliability, and practical value of EduSense.
Attention-Performance Match
EduCam's attention groupings mirrored students' real performance rankings.
Grade Prediction Accuracy
Consistently predicts exam outcomes with high accuracy.