Artificial Intelligence in Education

Programme Brief

When: 23rd May 2022 to 3rd June 2022

Where: Indian Institute of Technology Bombay (IIT Bombay), India. Virtual - Webex.

Who: Open for all (Undergraduate, Postgraduate, Ph.D.)

Why: Artificial Intelligence has found its way today into a variety of domains through its applications. Education is one such domain. With the arrival of digital learning technologies, we are capturing data at an unprecedented volume, and this allows us to harness this data to cater to the requirements of the prime stakeholder of education- the learner. Understanding the learners’ data and making interpretations from it using novel AI techniques require an adequate interdisciplinary understanding of this field. At IIT Bombay we have one of the few centers in the country dedicated solely to this aim. Our goal is to improve the current state of education which is rapidly shifting towards online platforms for learning.

This course will provide an overview of how artificial intelligence techniques and machine learning algorithms can be applied to data from the educational domain to provide better teaching-learning experiences. The course will cover how to collect data from different learning environments, how to analyze this data, and apply suitable types of analytics to make meaningful interpretations. The course will allow the learners to get familiar with real-life educational data. The course will provide the participants with strong exposure to the current state of AI applications on educational data and provide them with a foundation for a future in this field should they choose to pursue it.

Course Schedule

Morning sessions: 10:30 am to 12 pm (Indian Standard Time)

Afternoon sessions: 1 pm to 2:30 pm (Indian Standard Time)

23-May-22

10:30 am to 12 pm- Introduction to AIED. Levels of analytics: Descriptive, Diagnostics, Predictive and Prescriptive

1 pm to 2:30 pm- Introduction to Python Programming and Assignment 1

24-May-22

10:30 am to 12 pm - Data Collection from Different learning environments. Ethics and Data Privacy

1 pm to 2:30 pm- Python Programming - Basics and tutorial for assignment 1

25-May-22

10:30 am to 11 am- Introduction to Machine Learning

11 am to 12 pm- Performance Metrics for ML algorithms

1 pm to 2:30 pm- Data Visualisation

26-May-22

10:30 am to 12 pm- Descriptive Analytics

1 pm to 2:30 pm- Diagnostics Analytics - Correlation

27-May-22

10:30 am to 12 pm- Linear Regression, K-Means Clustering

1 pm to 2:30 pm- Tutorial - ML tools

30-May-22

10:30 am to 11:15 am- Sequential Pattern Mining

11:15 am to 12 pm- Process Mining

1 pm to 2:30 pm- ML Tools Assignment Presentation

31-Jun-22

10:30 am to 12 pm- Decision Tree, Naïve Bayes

1 pm to 2:30 pm- Introduction to OULAD dataset and Course Project details

01-Jun-22

10:30 am to 12 pm- Intro to Text Analytics

1 pm to 2:30 pm- Multimodal Learning Analytics

02-Jun-22

10:30 am to 12 pm- Other topics in AIED

1 pm to 2:30 pm- Course Project Presentation

03-Jun-22

10:30 am to 12 pm- Course Project Presentation

1 pm to 2:30 pm- Course Project Presentation

Youtube Link for Course Contents

We run two related 13-week courses called 'Learning Analytics and Educational Data Mining' and 'Learning Analytics Tools' during the Autumn semester. We will be using the respective topical course videos for the AIED-AUA course as well. The instructor videos are available on YouTube