Designed for offline education use, KAIT finds relative knowledge gaps to evaluate students’ understanding and improve learning efficiencies. The solution optimizes student outcomes by assessing them as individuals and provides personalized lessons based on their strengths and weaknesses.
KAIT includes a smartpen equipped with a camera, memory chip and a real-time clock that records data multiple times per second. The digital pen converts written, analogue data on paper into digital data that is then synchronized and aggregated in KAIT’s cloud platform. Using sophisticated diagnostics, this data builds the foundation for the platform’s AI algorithm.
The algorithm then recommends individualized student pathways. Teachers are provided with detailed insights into students’ knowledge gaps, why they exist, and how best to address them.
Ultimately, the platform helps teachers instruct and guide more efficiently, while helping students understand and perform better, faster.
Easy-to-use platform for teachers to create and upload assessments.
Standard pen-and-paper assessments for in-classroom use.
Automated grading and record-keeping.
Easy access to comprehensive diagnostics of each student.
Class dashboard for high level overview and relative performance.
Access to students’ thought processes through Pencasts.
Automated assignments tailored to each student’s individual needs.
Time saved from automatic grading and report generation.
Greater insight into student/class performance and knowledge gaps based on detailed analytics including cognitive and behavioral metrics.
Ability to efficiently provide students with personalized interventions, assignments and curriculums.
Formative assessment using own content (content agnostic).
Individualized student pathways based on specific needs and proficiency levels.
Unveils potential knowledge gaps that can be addressed.
Reduces repetition and keeps students challenged.
Handwriting improves both information retention and creativity compared to typing.
Test scores alone do not accurately represent students’ understanding or mastery of a topic. KAIT is able to identify the root cause for why a student makes mistakes based on eight cognitive and behavioral factors. These factors were designed by educators and learning science professionals and are calculated using the analogue data collected with KAIT’s smartpen.
Flexibility of thoughts and calculations
Critical thinking, logic and problem-solving skills
Ability to visualize, recognize patterns and memorize
Extending from understanding of concepts to applying association skills
Ability to understand and communicate issues, self control
Test Taking Skills
Ability to create strategies and manage time
Persistence and ability to deal with difficult questions without giving up
Ability to focus on the task at hand
Based on KAIT’s granular understanding of the student profile, machine learning is applied to recommend corrective actions to teachers and generate tailored assignments to meet the individual needs of students. Practice questions are based on four factors: