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Why online learning needs AI augmentation

With a large portion of schools having moved to online based learning through platforms like Zoom and Microsoft Teams, students are required to grasp concepts in a one-dimensional online medium as opposed to a constructive and collaborative class environment.

Being a student during the pandemic, I have first hand experience with the mundane manner of teaching- and why we need to augment this with Artificial Intelligence algorithms. In a classroom, teachers can somehow manage to personalise some parts of learning or pay attention to weak students. However, in an online medium, with all the latency issues and network constraints, also moving in a general pace can be tough.

Therefore for online learning,AI can be key, by providing a personalised learning path for the students. Using algorithms like NLP ( Natural Language Processing ), the online class can be transcribed according to the student's intellectual levels.

AI, in this case, can make a specific-tailored learning path for the students by recognising patterns in examinations, homework submission and teacher feedback. This data could be clustered and a supervised-learning algorithm ( AI mumbo-jumbo ) could predict the best course path for a student.

The software could also introduce "teacher-type" chatbots where students could ask these AI powered chatbots for doubts, explanations and course details. With recent development in tech such as Natural Language Generation and Intent Recognition, such a feature could be highly efficient and used to answer student queries around the clock.

With more schools getting added to the platforms, and more students shifting to an online learning atmosphere, AI can augment online education to levels where it could certainly prove to be a viable replacement for classroom-learning.

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  1. Anonymous25 July 2020 at 02:18

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  2. Aryan Bhasin22 May 2021 at 06:12

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  3. Abhi yadav28 December 2022 at 23:38

    Thanks for the information
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