The classroom of the future: AI and machine learning can redefine the education experience

The application of Artificial Intelligence and machine learning have become both an objective and subjective tool in the past few years in several commercial fields such as finance, education, healthcare, manufacturing, and data security. Its effect has widely spread to a far extent enough to recreate another technological revolution or a new era of automation.

Coming to education, AI and machine learning are creating headlines. Recent market surveys on the education sector reveal the true and feasible collaboration developed between teachers and machines for teaching purposes. The US education sector records around 47.8% growth due to AI from 2018-to 22. The human connection has officially reduced and online interaction has increased minimizing the role of teachers and professors in their respective classrooms. AI isn’t replacing humans but transforming and evolving a new generation of a classroom of the future to give a redefined experience.

Recently AI has also empowered education by helping the teachers spend less time on tasks that can be automated and have allowed them to focus on what truly matters and that is- connecting with students and making them encouraged and inspired by what they are learning. It has infused several innovations such as deep learning, machine learning language processing, and so on. This has paved the way for teachers and educational institutions to overcome educational challenges.

 

AI-powered teaching assistants personalize the curriculum–

no two students are the same in learning or academics and they require separate teaching techniques for understanding. Before AI, personalizing and adapting the learning experience and the student curriculum was unfeasible. Today, AI has introduced software that detects learning patterns; makes teachers aware of their student’s problems making the students adapt their teaching styles. An AI-powered system can analyze the efficiency of the current curriculum and detects flaws in its structure. It involves an extensive trial and error process and solves the faults ahead of time.

 

Meaningful student interaction with reduced time for admin tasks–

the repetitive and time-consuming task of reviewing mark sheets and grading them has now come to a stop as AI systems have left teachers with no such hassle. Instead, teachers can now focus on individual students. Meanwhile, schools have come up with automated grading systems for MCQ-based tests. Even in natural language recognition in near future, these systems will effectively function to grade English papers.

 

A reformed generation of online tutoring–

Some students seek additional help outside classrooms. AI has created such platforms for them where they can avail themselves of the option of finding a personal tutor for video classes or someone to quickly help them with their homework. AI has propelled online tutoring into a new era and helped the learning process in a better way. For an instance, the use of an application named Brainly is a social media platform where students are asked to answer homework-related questions. AI detects spam and filters out low-quality questions and answers.

 

Empowering the teaching business–

the purpose of AI is to empower teachers by taking away time-consuming admin tasks and offering them valuable insights on how to rejuvenate and strengthen the teaching process. Starting from customized textbooks and predictive systems to futuristic online tutoring systems, AI will help students learn much faster. In case of implementation challenges such as lack of computing power, AI builds trust at a large scale by offering the most balanced approach to modern education. The teaching challenges and communication gaps have been greatly reduced through machine learning and its implementations. A large variety of students can be easily managed by a single teacher.

 

The key points under AI-based learning include:

• Personalized learning by providing a level of differentiation for specified individual learning.
• Giving teachers the flexibility to focus on teaching rather than on unwanted tiresome tasks.
• Teaching the teacher through a comprehensive information approach and educating them in mastering complex programming techniques.
• Connecting all AI-related and similar kinds of classrooms for greater cooperation and collaboration among schools.
• Understanding how to work with others in a team to solve problems efficiently.
• Focus on the future challenges and make the world prepared to face unknown hurdles at tomorrow’s workplace.