Over the last few years, the education sector has been leveraging advanced technology solutions to help students to learn something easily. From smart classes to online digital teaching, all are attributed to technologies. Now, Computer Vision is assisting the sector by offering the future of learning. The technology can help in maximizing learners’ academic output through a customized learning experience based on their strengths and weaknesses.
As human beings, in today’s digital world, can easily search for their subject matter topics and find pertinent information at their fingertips within seconds, they can easily opt for any course or skill-oriented program from several courses available online.
When it comes to learning, people are not restricted where they are interested in. Many open online course platforms are easily available out there and are continually growing. Even, several recognized institutes and academies are providing online certification courses over and above standard college courses. These online training courses offer audio and video lectures to the students, in addition to digital materials like e-books. And these allow students to learn as per their schedule and do not have a fear of missing out on any important lectures.
The main objective of computer vision in education is the ease and non-obstructiveness of the assessment process compared to traditional classroom education. It allows educators to assess users’ behavior while teaching online and assists in tracking students’ engagement in traditional classrooms.
This can help analyze the students’ interest level and attentiveness, and afterward, educators can modify their teaching methods to garner more attention from students and maximize their interest. Eventually, this data can improve traditional teaching methods and offer customized courses and materials for students as per their understanding capabilities.
Moreover, the technology helps in improving cooperation between students. Educators can place students into their interested groups where they are most comfortable interacting and sharing their ideas and opinions. This method helps in the growth of the student as they are at their comfort level. Computer vision analysis here assists in studying students’ behavior and interaction during distinct group tasks on how they teach others, and how comfortable they are with fellow students. Later, it enhances peer-to-peer interaction between students as per their comfort levels.
With all these benefits and considerations, the future of education can be benefited from the use of Computer Vision as it allows systems to see, process, and decipher visual information in real-time.