Course Name: Introduction to learning analytics

Course abstract

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.


Course Instructor

Media Object

Prof. Ramkumar Rajendran

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.
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Teaching Assistant(s)

Prajish Prasad

P.hD

Rumana Pathan

P.hD

 Course Duration : Aug-Sep 2019

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 Syllabus

 Enrollment : 15-May-2019 to 26-Aug-2019

 Exam registration : 01-Jun-2019 to 26-Aug-2019

 Exam Date : 29-Sep-2019, 29-Sep-2019

Enrolled

1074

Registered

73

Certificate Eligible

47

Certified Category Count

Gold

0

Silver

14

Elite

19

Successfully completed

14

Participation

9

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Assignment 1(20%), Assignment 2(20%), Assignment 3(20%), Assignment 4(20%), Course Project Assignment(20%)
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
  • Note: A5 - Course project Assignment
Introduction to learning analytics - Toppers list

VIVEK RAJ S N 86%

SRM UNIVERSITY - RAMAPURAM

MARYAM HANZALA TARIQ 85%

ALLANA INSTITUTE OF MANAGEMENT STUDIES

Enrollment Statistics

Total Enrollment: 1074

Registration Statistics

Total Registration : 73

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.