Introduction To Learning Analytics

By Prof.Ramkumar Rajendran | IIT Bombay

Learners enrolled: 1074

Learning analytics is a method to collect, measure, analysis and reporting of data about learners and their interactions with a learning environment. Learning analytics is applying analytics on educational data to infer the student learning process and to provide support. This is an introduction and a first course in the series of learning analytics courses that will be offered in coming semesters. Learning analytics is important course in the data era and it will help the learner to apply analytics on data from education domain and also in other relevant domain.

INTENDED AUDIENCE: Computer Science, ECE, Electrical Engg, Biotechnology

PREREQUISITES: Basics in Probability, Beginner level programming skill

Summary

Course Status :	Completed
Course Type :	Elective
Duration :	4 weeks
Category :	Multidisciplinary
Credit Points :	1
Level :	Postgraduate
Start Date :	29 Jul 2019
End Date :	23 Aug 2019
Exam Date :	29 Sep 2019 IST

Note: This exam date is subjected to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1:
What is LA! Definition and how it relates to Academic Analytics and EDM Learning Analytics
Big-Picture.How it is related to ML, EDM
Four Levels of Learning Analytics Overview

Week 2:
Data Collection – How Big is Education data
Data Collection from Learning Environments
Pre-Processing Ethics in Learning Analytics
Student Privacy

Week 3:
Descriptive Analytics,
Data Visualization,
Example
Dashboard Analytics,

Week 4:
Predictive Analytics,
Linear Regression, Analytics Tools,
Demo of Weka/Rapidminer,
Demo of Linear Regression using Weka

Books and references

The Handbook of Learning Analytics, 1st edition, Charles Lang, George Siemens, Alyssa Wise, Dragan Gašević Weka – Machine Learning Software

Instructor bio

Prof.Ramkumar Rajendran is an Assistant Professor in IDP in Educational Technology at Indian Institute of Technology Bombay, Mumbai. He obtained his Ph.D. in Computer Science and Engineering from IITB-Monash Research Academy, IIT Bombay and Postdoctoral training at Vanderbilt University, USA.

Course certificate

CERTIFICATION EXAM :

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: 29 September 2019, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 3 assignments out of the total 4 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100
Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75.

If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Bombay. It will be e-verifiable at nptel.ac.in/noc.
Only the e-certificate will be made available. Hard copies are being discontinued from July 2019 semester and will not be dispatched

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