Introduction To Learning Analytics

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

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

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