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