AI in Education: Transforming Education using Personalised Adaptive Learning

location_city Bengaluru schedule Aug 8th 05:30 - 06:15 PM place Grand Ball Room 1 people 102 Interested

There has been a significant rise in the gross enrolment ratio of the students in public schools over the past few decades. However, there is a decline in their learning outcomes, which results from staff crunch, crowded classrooms and insufficient infrastructure. Moreover, students are learning less as they move to higher classes. National Achievement Survey – 2017 shows that the national average score of a grade 8 student was barely 40% in Maths, Science and Social Studies. The survey also highlights the fact the country is short of at least 10 lakhs qualified teachers. With the advent of technology and AI, Personalised Adaptive Learning solutions might solve the current education crisis.

With the belief that every child is unique, funtoot, an Intelligent Tutoring System designs a personalised learning path for each child. Funtoot tailors the teaching instructions according to the knowledge states of each learner and leads the learner towards her unique learning trajectory. Funtoot is used by more than 1.5 lakh school students (Grades 2 to 9) across different states in India.

In this talk, we will go deep into the architecture of an Intelligent Tutoring System. We will start with Domain Model which helps deconstruct the knowledge. We will then move to Student Model which is an overlay on Domain Model used to estimate the students' knowledge states. We will also touch upon the Tutor Model to understand how the student's cognitive and affective states are used to design the student's personalised learning path.


Outline/Structure of the Talk

  • Education Crisis (in India)
    • National Achievement Survey (NAS) - 2017
  • Bloom's Two Sigma Problem
  • Intelligent Tutoring System
  • Domain Model
    • Cognitive Domain: Revised Bloom's Taxonomy
  • Student Model
  • Knowledge Tracing
    • Bayesian Knowledge Tracing
    • Deep Knowledge Tracing (RNN and LSTM)
  • Tracing the Forgetting Curves using Deep Knowledge Tracing
  • Discovery of Structure and Domain Knowledge
  • Learning Outcomes: Impact and Improvement

Learning Outcome

  • Understanding of Intelligent Tutoring Systems and its algorithms.
  • How AI and Data Science can be used to improve learning outcomes
  • Personalised and Adaptive Learning

Target Audience

Anybody who is interested in education and AI.

schedule Submitted 9 months ago

Public Feedback

comment Suggest improvements to the Speaker
  • Dr. Vikas Agrawal
    By Dr. Vikas Agrawal  ~  9 months ago
    reply Reply

    Dear Amar: You have a very interesting topic and it appears to be part of your doctoral research as well. Do you plan to show a working demo /code and an analysis of what techniques work well and which don't? Warm Regards, Vikas

    • Amar Lalwani
      By Amar Lalwani  ~  9 months ago
      reply Reply

      Dear Vikas, yes, I plan to discuss different techniques/algorithms and their analysis/results. I also plan to talk about different applications of these techniques like: tracing the forgetting curve, discovering the structure of domain and validating the well-known learning theories like Bloom's Cognitive Domain. I have also added the links to our publications on which this talk would be based on.