The following article has been inspired by the thoughts of Mr. Mayank Srivastava. He is the Founder of Experts’ Global, one of the world’s leading EdTech firms in the field of GMAT prep and MBA admission consulting.
The term Education Technology, or EdTech as it is often called, refers to the practice of employing technology in education. As a highly adaptive industry, the education sector has always been ready to embrace new technology and new ideas. This is even more applicable to the student body, at large. Many types of technology have already become commonplace, in the world of education. Such technology includes search engines, live webinars, video streaming, and even specialized training applications. If we are to consider where the next big advancement in EdTech is to come from, we would probably find that the answer is in the field of artificial intelligence. Machine learning algorithms have already seen a good deal of success, in a number of use cases. Here are some of the ways that we can expect to see artificial intelligence advance EdTech.
Providing Adaptive Learning Solutions
As all students have their own individual learning capacity, it naturally follows that they will have their own individual learning requirements. Educators have always found it a challenge to be able to match every student’s requirements, as they do not have the time or resources to cater to each student individually. Machine learning is a type of artificial intelligence that learns by gathering user data and might have the solution for this predicament. Machine learning algorithms can identify patterns in a student’s performance and rework the program to better fit them. These algorithms can also identify the student’s exact weak areas.
Adopting Deep Learning
Deep learning is a subfield of artificial intelligence that has a lot of potential within EdTech. It is a subfield of artificial intelligence that is concerned with algorithms and artificial neural networks, based on the structure and functions of the human brain. Deep learning algorithms track student behavior and use it to identify the level of their cognitive abilities. These algorithms can be partnered with EdTech solutions that can make learning recommendations that will best suit the student, both in terms of style and content.
Developing Tools to Aid in Collaborative Education
It is quite clear, to one and all, how seamlessly technology has been integrated into our communications. We are able to collaborate with people, across the sharpest of divides, for our leisure activities. Artificial Intelligence will be able to help us design tools to collaborate, just as effectively, in our educational and learning pursuits. These tools will foster an unparalleled sense of closeness, within the student community.
Freeing Up Time for Class Discussions
With EdTech tools, educators can save a lot of time on minor tasks. Scheduling, data keeping, organizational work, and the grading of objective type answers can already be handled by EdTech. Soon we will even be able to use EdTech to grade subjective answers, thank to specially designed artificial intelligence. Educators will not even have to spend time on developing and delivering lectures. We will have pre-developed video lectures, developed by the best minds in each field. With most other tasks being handled by EdTech, educators will be able to devote the maximum amount of time to class discussions and answering student queries- areas where human effort cannot b replaced.
