Thought Leadership

Revolutionizing EdTech With Machine Learning and Artificial Intelligence

While digital is taking the world by storm, it has also enforced easier mediums to make quality learning accessible to anyone across the planet. While before, if you wanted to learn a course at Harvard University, you would have to visit the campus; now, it is readily available with the click of a button.


So what has made this change possible and effortless? Machine learning (ML) and Artificial Intelligence(AI) play a considerable role. While it may seem like a trending business word to force organizations to innovate with no real depth, it’s quite the contrary. Companies that have already introduced ML and AI into their practice recognize them as practical tools that bring numerous significant business benefits.


So how have Machine Learning and Artificial Intelligence revolutionized the Ed-Tech sector?

1. Smart Learning Systems

The traditional teaching method involved books, whiteboards, and verbal conversations that lacked innovations. However, the implementation of machine learning and artificial intelligence in the EdTech sector has changed the game forever. With ‘Smart Tutors’ that use effective tools, graphic representation and even videos and memes to explain serious, boring content. Another form of the smart tutor system is virtual tutors, who offer 24/7 assistance, such as the robots teaching the kids in Singapore. The robots can read stories, assist with simple math problems, and mainly help introverted kids evolve at a better rate.


Apps like Prodigy have also transformed learning into a fun fictional game. This app is free, curriculum-aligned and used by more than a million teachers, three million parents, and 50 million students worldwide. It borrows elements from role-playing games (RPGs) such as Pokemon and asks players to fight math duels against in-game characters. The game also uses adaptive learning and differentiated instruction principles to adjust the content, addressing each student’s trouble spots and guiding them to learn better.


2. Higher ROI On E-Learning

Predictive Analysis helps track each user’s progress and recommend personalized solutions that would help in their learning journey. This information provides an exact input to e-learning companies on producing the necessary content and utilizing their eLearning resources for the right customer. This benefit is essential for the corporate sector to cut costs and decrease resources.


While it also provides significant ROI to the end users, as Kim Majerus, Vice President of U.S. Public Sector Education, State, and Local Government at Amazon Web Services, says, “Educators are using machine learning to identify students that need support earlier and act to improve success and retention.”


My Learning Hub uses this predictive Analysis based on machine learning for different corporate training programs and solutions. Each has a personal track of the student’s progress and their current needs and requests to enable them to learn better and more efficiently.


3. Crowdsourced Learning

Crowdsourced learning is when two or more learners come together to better comprehend a topic or subject by asking and answering common questions. This type of learning refers to learning content requested and developed by individuals rather than explicitly creating learning content as a content creator or course curator. Crowdsourcing also offers convenient access to a large base of diverse and innovative minds, thereby collecting various views and opinions on a given subject. Wikipedia is one of the most successful crowdsourced learning concepts followed by Quora that has also gained significant market share in recent years.


Another example is Brainly, an educational Q&A platform with a community of 200 million+ students and teachers. The platform has an integrated machine learning layer that acts as a moderator, filters spam, and checks the content’s quality. In a few years, Brainly will be able to offer automated answers to specific questions. The concept would be similar to that of a search engine but on a smaller scale, as it would only cover concerns related to primary and secondary education.



The amalgamation of AI & ML has transformed the EdTech industry and changed the learning experience forever. Traditional approaches to managing educational operations have become redundant, and people are switching to automated platforms backed by next-gen technologies for better user experience and learning models. The EdTech revolution is here!