Time Crunch for the Workforce
According to a recent McKinsey study, only 49% of a teacher’s time is spent in direct interaction with students. Majority of a teacher’s time is spent in administrative tasks like report creation, assessment and grading, etc. AI and Automation can play a huge role in reducing this burden on teaching staff, encouraging teachers to provide personalized attention to their students.
Holistic Student Improvement
In today’s world, academic parameters like test grades are not the only factors indicating student performance. There are various other skills that are included when student performance is evaluated. While this can be done for a few students, AI can help create a holistic picture of a student’s improvement scalable for thousands of students. With the help of cohort building and multivariate analysis, teachers can gain better insight into the improvement of student performance
Personalization of Pedagogy
The archaic cookie cutter approach in education is now being revolutionized in light of the personalization of teaching. Each student is unique and to efficiently grow them into well rounded individuals, unique improvement plans need to be implemented. Machine Learning and deep student profiling can help enable predictive and prescriptive analytics to visualize the growth of a student while drawing key recommendations to help a student achieve their maximum potential.
Reduce burden on teachers through streamlining of processes while providing consolidated insights at the student, class and school level
In Education, today, pedagogy is shifting towards personalized learning programs from the traditional cookie cutter approach. While this monumental shift is important for building new age thinkers, the current teaching and administrative staff are already overloaded with activities such as evaluation, feedback, preparation, professional development, etc. With the advent of digitization and digitalization, educational institutes can automate various manual workflows that burden institute staff while ensuring the highest accuracy. Additionally, AI can help educational institutions accelerate personalized learning through scalable solutions that create holistic roadmaps for a student’s continuous improvement.
Direct Benefits of AI solutions
Predict Student Performance through Deep Student Analysis
CogniTensor offers institutes a 360 degree view of a student’s performance at the management, parent and even student level. Through the predictive power of AI, this student performance can be forecasted and individual plans and recommendations can be generated through Machine Learning based algorithms.
CogniTensor helps institutes understand staff and resource efficiency to allocate these resources for streamlined operations. AI powered insights help institutes understand and reorganize staff based on a multitude of factors including student performance as well to provide end to end analyses
Reduce costs by optimizing resource allocation
Gain Unbiased Feedback with automated workflows
CogniTensor offers an automated solution to help management get unbiased feedback from key groups like students and parents. Through an anonymous interface, key insights are drawn to understand the performance of an institute.