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Source: The post is based on the article “Centre’s DIKSHA e-education platform to offer AI help” published in The Hindu on 4th September 2023
What is the News?
The National e-Governance Division (NeGD) of the Ministry of Electronics and Information Technology (MeitY) in India is planning to integrate Personalized Adaptive Learning (PAL) into its existing Digital Infrastructure for Knowledge Sharing (DIKSHA) platform.
What is Personalized Adaptive Learning(PAL)?
It is a software-based approach that will allow each student to have an individualized learning experience over the course of the curriculum based on their unique needs and abilities.
What is DIKSHA Platform?
DIKSHA is an initiative of the Ministry of Education for digital online education.
It provides quality e-content for school education in States/UTs and QR coded Energized Textbooks for all grades.
It also has embedded assistive technologies for learners with visual or hearing impairments.
Apart from this, DIKSHA also hosts 2.43 lakh contributions by 11,624 academics by way of teaching videos, explainers and practice questions.
How will integration of PAL with DIKSHA platform help?
The integration of PAL into DIKSHA is expected to revolutionize the platform by leveraging artificial intelligence (AI) to cater to the specific learning needs of students.
For example, if a student of Class 9 is learning the Pythagoras theorem and makes a calculation mistake, the AI learning system flags it and loops the student back to a basic video of how to make the calculation.
What are the challenges in integration of PAL with DIKSHA platform?
Building PAL is a massive exercise.Content from across subjects will have to be categorized and different chunks will have to be tagged.New content may also have to be created.
The initial focus of the government is likely to be on subjects like chemistry, mathematics, and physics for Classes 9 to 12.
Several states like Andhra Pradesh, Assam, and Haryana have experimented with PAL with the help of private players but are facing budget constraints.
