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Crunch: Learning Analytics for Performance Improvement



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6 wks


Avg 12 hrs/wk

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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?



I am happy to have discovered Crunch! Through this course, I have a better understanding of the theory and practice of learning analytics and how I can exploit them in my own context. The online material and tutorials were engaging and practical. The assessment was hands-on and relevant.

Meredith MacAulay, Language Facilitator, UNSW Global

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 (C11222). This microcredential may qualify for recognition of prior learning at this and other institutions.

Digital badge and certificate digital badge example for UTS Open short courses

A digital badge and certificate will be awarded upon successful completion of the relevant assessment requirements and attainment of learning outcomes of the microcredential.  

Learn more about UTS Open digital badges.

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: $1,484 (GST-free)*

Early bird price $1,336 (GST free)* Early bird price ends on Monday 1 April 2024, 11:59pm (AEST).

*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

Course purchase is subject to UTS Open Terms and Conditions. 

COVID-19 response 

UTS complies with latest Government health advice. Delivery of all courses complies with the UTS response to COVID-19.

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.


Assessment 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).

Assessment 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).
  • Participants must complete and pass all the assessment tasks in this microcredential to pass the microcredential.




To complete this online microcredential, 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, alumni and students
  • 10% discount for group enrolments of 4 to 9 from the same organisation
  • 15% discount for group enrolments of 10 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)

Please contact the team at in order to secure your enrolment and 10% staff discount.

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 during checkout. 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 voucher code?" prompt and click on the blue "Apply" button 
  • Verify your voucher code has been successfully applied before clicking on the blue "Checkout" button. 

Contact us

Please contact if you have any questions about the course content, delivery or requirements.

If your query is in relation to enrolment or payment, please email



Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.