Artificial Intelligence has revolutionized many fields, with its amazing applications. By inculcating machines, with traits that mimic human intelligence gives them many abilities previously unavailable. They gain decision-making ability, pattern recognition skills, and similar characteristics of sentience. These make them independent and self-reliant to a certain extent.
AI has proved itself as a novel field of technology relevant across a multitude of areas, like Information Technology, Communication, Military, Health and Medicine, and also Education. It is currently used for many applications and also shows promise shortly.
Education: The Generation Gap
The academic system is severely lacking and outdated to be able to satisfy the educational needs of this generation. The same system devised and implemented during the industrial revolution is still used in many countries and has severe drawbacks.
The fundamental problem lies in the goal which was set to achieve using this model. The educational system was centered on a restricted set of values and qualities, which were all deemed essential back then. The choices were limited and the curriculum rigid. Therefore a lot of students were forced to conform to specific preset standards. This proved to be not only challenging and stressful but also counterproductive to students whose talents lied in a field outside the traditional areas.
Standardization of Education
The current scenario in many countries contains the point of Standardisation. It is done under the impression that the educational needs, interests and aptitude of all students of a class can be judged and compared by holding it to a set standard. They all learn the same subjects, take the same tests and have rank lists, scores and results of those tests act as judges for them.
This is a prevailing system in many countries and has a lot of drawbacks. They tend to create undue pressure on students to follow and study a subject that does not interest them, and also puts them under a lot of stress if they underperform. They are lest to do something they do not want to do or have no interest in for the sake of conforming to the standards set by society. Standardisation hampers the natural growth of an individual since it does not allow them to divert their attention to their interests.
Personalised education advocates custom modeling of curriculum and lessons to suit the aptitude of a student. This system has been gaining supporters due to it being more inclusive and holistic.
Personalised Education has taken the variability of interests and skills of students as individuals into account. Using these, lessons are tailor-made to include the subjects that benefit them the most.
This system is way above Standardised Education regarding the benefits students get out of it. It has more benefits and almost none of the undue stress it entails. However, the practicality of this system is doubtful in the conventional school system as that amount of individual attention cannot be provided.
AI for Personalised Education
AI is the ideal candidate to act as the moderator for a personalized education program. The key to adopting a student-centric era of education is to introduce a system that can work as a personalized learning assistant. This is where AI fits in.
AI can learn about an individual, and act accordingly. AI is also capable of building a conversation by mimicking and Natural Human Speech. These features make it the ideal candidate for being a personalized tutor.
AI Teaching Assistants
The ability of AI to collect and analyze data can be exploited in its application in EdTech. AI can be used to gather information on students and study it to provide customized content and figure out study plans. This can help in two ways, to improve students in the subjects they fall back on, and to promote their interest in what they are good at.
They can even be adapted to play the role of traditional classroom teachers by using Natural Speech Capabilities. However, this is still in the initial stages of development.
It is only logical for a system of personalized learning to be followed by an individualized grading method. Since students learn different things differently, they cannot be expected to rank the same either.
Personalised Grading works off of the principles of its learning counterpart. Such a system is more student-centric and provides conclusive results. These grades can be used to assess the student to realize strengths and give feedback to improve on individual weaknesses. This is something that the traditional system falls behind on.
Smart Teaching Assistants
Despite what it might seem like, AI is not just helping EdTech outside classrooms, but making the traditional environment better as well. AI has also gained popularity as a Teaching aid. AI-powered systems have been proven to be a futuristic teaching assistant, capable of handling smart classrooms.
These systems are capable of collecting and analyzing student data, mapping progress, helping to plan and conduct classes, tests, and so on. They can also be used to share and update study materials, which helps to keep courses up to date.
Online Learning has been growing in popularity for quite some time now, and with reputed institutions like MIT and platforms like Coursera, it is making quality education accessible to all across the globe.
On such platforms, users can create accounts and learn through them. They also have the means to track progress and also to suggest suitable content to study based on the history of the user. This is a job better suited for AI because of their data analysis and prediction capabilities.
The scope of AI in EdTech is endless, and studies are still going on to unearth more revolutionary applications. However, if it is anything like what the current scenario is implying, then AI will be the driving force of tomorrow’s education.