1. School Automation (Campus Automation & Workflow Automation)

Campus automation is building automation in a School Campus, called a smart school or smart campus. A campus automation system will monitor and/or control infrastructural attributes such as lighting, climate, appliances, and infotainment & entertainment systems.

2. Digital transformation in education

AI-based Chatbots:

Artificial intelligent chatbots help teach students, through a series of messages, just like a regular chat conversation but from the content of a lecture. The chatbot will repeat the cycle of assessing each student’s level of understanding individually and then provide them with the following parts of the lecture as per their progress.

Using AI-based chatbots in the learning system enables automated intelligent tutoring providing a dedicated learning environment to the students. It not only enhances the learning process but increases engagement in the individual subjects as well. Another benefit is that students can provide immediate feedback that will allow teachers to figure out areas where they can improve their teaching abilities.

AI-Driven Online Assessment:

AI-driven and ML-based assessment tools help insitutions and schools administer online examinations in a hassle-free manner. The educational institutes can flexibly conduct different types of examinations such as multiple-choice questions, paragraph type questions, typing and coding simulators, or video and audio input.

The system is trained to process and analyze facial and voice recognition of the examinee provided with the candidate information and flag discrepancies to prevent impersonation and suspicious behavior. The system can lock down the assessment application, limiting students’ navigation away from the assessment, and restricting them from taking external help.

AI-Based Analysis of Students:

AI and big data analytics can help universities and schools to create a personalized learning experience for students and resolve challenges such as ineffective learning, disengaged students, and even reduce dropout rates. It helps professors and teachers to understand the learning capability of each student and enhance their productivity in the classes.

AI-based analysis allows teachers to evaluate the performance of students to check the feasibility of improvement, understand where the student is lacking, and teach them more effectively.