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Crunch: Learning Analytics for Performance Improvement

Educators have never had as much access to data as they do now. But how can this data be translated to improve learning performance and desired outcomes? This microcredential will begin by asking (and answering) the following questions. What is learning analytics? How do we gather and analyse data? What are the different types of data? And most importantly, how can this data be used efficiently and effectively?

About this microcredential

During this microcredential you’ll examine the foundational concepts of learning analytics, as well as the techniques, approaches and ethical considerations of learning analytics. You’ll explore how learning analytics is influencing education, training, organisational and social change more broadly, and specifically, learning design.

You'll delve deeper into the link between learning design and learning analytics by exploring how the data gathered through the use of various learning analytics tools can inform learning design. You’ll apply and analyse different approaches and techniques used in learning analytics to draw insights from data sets, and gain practical experience with tools such as AcaWriter, which uses data to provide rapid formative feedback.

You will also reflect on some of the ethical considerations related to learning analytics, such as the principles related to Indigenous data sovereignty.            

Key benefits of this microcredential

This microcredential has been designed to:

  • Provide you with an introduction to learning and data analytics
  • Develop your knowledge of the connection between learning analytics and improving learner performance and outcomes
  • Equip you with the skills to ethically analyse learning data using various tools
  • Prepare you to apply insights from learning analytics in developing learning intentions.          

This microcredential aligns with the 3 credit point subject, Crunch: Learning Analytics for Performance Improvement (010305) in the Graduate Certificate in Learning Design. This microcredential may qualify for recognition of prior learning at this and other institutions.

Who should do this microcredential?

This microcredential is aimed at professionals from a wide range of sectors and backgrounds who are involved in the development and facilitation of learning and education. Examples include, but are not limited to:

  • HR professionals
  • Learning designers
  • Academics
  • Trainers
  • School teachers
  • School leaders.


Full price: $1,362 (GST-free)*

*Price subject to change. Please check price at time of purchase. 

Discounts are available for this course. For further details and to verify if you qualify, please check the Discounts section under Additional course information

Enrolment conditions

COVID-19 response 

Additional course information

Course outline

This microcredential is structured into six modules and is delivered over six weeks. Each module features self-study materials, interactive activities such as quizzes, multimedia presentations, short video and audio recordings and peer critiques, as well as facilitated, live online sessions.

These weekly, live online sessions provide an opportunity to apply the content to practical and authentic examples drawn from the workplace, with the course culminating in an industry led expression session.

The six modules are:

1. What is learning analytics?

  • Begin your journey by exploring the history of learning analytics, before thinking about what the drivers and influences are and what the learning analytics model might look like.

2. How do learning analytics work?

  • Delve deeper into how learning analytics works
  • Examine how it provides actionable intelligence to us as learning designers and educators and how it can help us make better design decisions.

3. Connecting learning analytics with learning design

  • Discover the ways to make use of learning analytics in our learning design practices, how to develop data literacy and how that will impact learner performance and outcomes.

4. The challenges facing learning analytics

  • Explore some of the challenges and problems learning designers may face in using learning analytics
  • Study issues such as ethics, privacy and data ownership, management and protection.

5. Tools for learning analytics

  • Acquaint yourself with the tools that make use of various learning analytics to improve learner outcomes
  • Learn how to evaluate the effectiveness of these tools in personal and professional contexts.

6. Expression session

  • Engage in a practical workshop hosted by an industry expert that combines the ideas, concepts and tools developed throughout the course and puts them into practice.

Course delivery

  • This microcredential includes weekly, live, 90-minute online sessions facilitated by an expert UTS academic, supporting self-study and online learning activities
  • The live sessions focus on applying the course content to practical and authentic examples drawn from the workplace
  • Regular formative quizzes throughout the course allow participants to track their progress.

Course learning objectives

Upon successful completion of this course, you should be able to:

  • Employ different methods, techniques and tools to analyse data
  • Design appropriate interventions based on data to improve outcomes for learners
  • Make ethical decisions about the appropriate and meaningful use of data from learning analytics
  • Reflect and evaluate own and others’ learning and practice.


Task 1: Analytical design, prediction and report
(weight: 60%)

  • Apply some basic analytical tools to a supplied data set and design an ethical intervention that aims to improve learning outcomes (length: 1000 words).

Task 2: Reflection and evaluation (weight: 40%)

  • Critically reflect on your learning development over the course, with specific reference to academic literature and the analytical design, prediction and report assessment task (length: 500 words).

In order to pass the microcredential, participants must complete all assessments and achieve at least 50% of the course’s total marks.     



  • To complete this online course, you will need access to a computer or device with adequate internet access and sufficient software and bandwidth to support web conferencing.
  • You will also require an operating system with a web browser compatible with Canvas and Zoom.

Professional Recognition

  • NESA has recently changed its professional development requirements. Teachers are strongly encouraged to review the NESA website for the latest information.


Discounts are available for this course as follows: 

  • 10% discount for UTS staff
  • 10% discount for UTS alumni/students with voucher code: FASSalumni 
  • 5% discount for group enrolments of 3 or 4 from the same organisation (see below for how to obtain your voucher code)
  • 10% discount for group enrolments of 5 or more from the same organisation (see below for how to obtain your voucher code).

Discounts cannot be combined and only one discount can be applied per person per course session. Discounts can only be applied to the full price. Discounts cannot be applied to any offered special price. 

How to obtain your discount voucher code (group enrolments)

  • Please contact the team at with details of group enrolments, to obtain your discount voucher code. Note that group enrolments will not be validated until the minimum number of criteria enrolments have been received.

How to enrol and obtain your UTS staff discount (UTS staff)

How to apply your discount voucher  

  • If you are eligible for a UTS alumni or student discount, please ensure you have provided your UTS student number in your UTS Open Profile (under “A bit about you”). If you are an alumni and have forgotten your UTS student number, email with your full name, UTS degree and year of commencement.  
  • Add this course to your cart 
  • Click on "View Cart" (blue shopping trolley at top right of screen). You will need to sign in or sign up to UTS Open 
  • Enter your eligible code beneath the “Have a code?” prompt and click on the blue "Apply" button 
  • Verify your voucher code has been successfully applied before clicking on the blue "Checkout" button. 

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