Overview
This unit will focus on the key data science approaches as commonly used in learning analytics. Students will work on relevant datasets and develop skills in identifying suitable data indicators for specific contexts. This unit provides foundations for feature engineering to extract relevant indicators from raw data about learning. Relevant … For more content click the Read More button below.
Offerings
MO-TP1-01-ONLINE-MO
MO-TP5-01-ONLINE-MO
Contacts
Chief Examiner(s)
Dr Guanliang Chen
Notes
This unit is only available to those enrolled in Monash Online courses
Learning outcomes
On successful completion of this unit, you should be able to:
1.
Analyse the role of data in learning analytics;
2.
Identify and apply basic tools for performing exploratory data analysis, visualisation, and predictive modelling in learning analytics;
3.
Discuss and evaluate the legal and ethical issues due to the use of data science in learning analytics;
4.
Develop and critically assess a detailed plan for data science implementation in learning analytics.
Teaching approach
Active learning
Online learning
Assessment summary
In-semester assessment: 100%
Assessment
1 - Data wrangling and analysis
2 - Critique
Scheduled and non-scheduled teaching activities
Tutorials
Workload requirements
Workload