Introducing NULA Data Interpretation webpages

NULA provides valuable insights into student engagement by consolidating a range of data sources. As colleagues, we know that interpreting this information effectively can make a real difference in supporting student success. To help you make the most of this powerful tool, we’d like to announce the launch of a new webpage dedicated to helping colleagues better understand and use the data provided by NULA.

What’s New?

This new resource has been designed to support colleagues by providing:

  • Examples of NULA data: using dummy data, there are practical examples of student engagement to explore and draw inferences from
  • Tips for interpreting trends: videos are provided to support interpreting the data, highlighting key trends and data points, in each practical example

Visualising key differences in the student profile view

As a reminder, the student profile in NULA offers two distinct views that provide complementary insights into engagement:

  1. 2 weeks display under Modules: the metrics within the Modules section give a focused, short-term view of a student’s engagement over the last two weeks, allowing you to spot recent trends and patterns.
  2. Historic view under Engagement history: this offers a longer-term perspective, showing patterns and trends over time to identify consistent behaviours or shifts in engagement.

Additional Support

For further guidance, additional support is also available through the Traffic Lights and Metrics pages. These resources offer deeper insights into interpreting NULA data and understanding key indicators.

NULA Update V1.19

With the launch of the Newcastle University Learning Analytics (NULA) system we will be posting regular blog updates to inform our users of the latest developments within the system.

Finding students

We have updated how the lists of students are displayed; you can now find your personal tutees when selecting students you are “directly” linked to. To find any other students you can use the “by modules” or “by courses” options. A full guide on how to find students is available on the learning and teaching website here.

Tagging

The ability to tag a stuent using the star icon next to the students name is now available.

You can then filter a list of students to only show tagged/untagged/all students as shown below.

Student overview

When you view a student’s profile the first item you will be presented with is the student overview, which shows a quick snapshot of the students most recent engagement and lists some basic information such as the students contact details and personal tutor.

For further information on NULA and additional resources, visit Learning Analytics (NULA) | Learning and Teaching @ Newcastle | Newcastle University Or contact the team at learning.analytics@newcastle.ac.uk

Introducing students to Newcastle University Learning Analytics (NULA)

To introduce NULA to students Jasmine Banks, Education Officer at the Students’ Union, found out more about the system in conversation with Dr Lindsey Ferrie, Academic Lead.

They discuss:
How NULA will benefit you
What you can expect
What you need to do

Watch our Introducing NULA video featuring Jasmine and Lindsey and read Jasmine’s article on the Student Noticeboard to find out how students are being updated.

Why this is important for colleagues

Students are being reassured that NULA is there to help support their learning, not to monitor or judge them. Keeping this in mind can help you talk to students about their data in a way that feels open, positive, and focused on their success.

What’s next?

Students have been encouraged to watch Jasmine Banks’ conversation with Dr. Lindsey Ferrie to learn more about NULA, and we recommend you do the same. This will give you a deeper insight into the messages they’re receiving, enabling you to mirror this approach in your tutoring practice.

For further information on NULA and additional resources, visit Learning Analytics (NULA) | Learning and Teaching @ Newcastle | Newcastle University Or contact the team at learning.analytics@newcastle.ac.uk