Making research more accessible

We've created a number of easy-to-read research resources exploring ways to improve teaching and learning. You'll find a list below of the current research available in various formats, including our Byte-Sized pieces in short and long versions, as well as our AI Readiness webinar series.

Research into the use of technology

in education during Covid-19

During this long period of uncertainty, teaching and learning is being put to the test in ways many of us do not have much experience with. The Covid-19 school shutdown has had teachers, students, parents, and EdTech developers inadvertently participating in perhaps the largest EdTech experiment ever conducted.

We have now begun the second phase of our research into this area, and would like you to complete one of the more detailed surveys above to examine how your particular challenges and perspectives may have changed over time.  The surveys take 5-10 minutes to complete, and your input will help shape the future of education.


Explore our Research Topics


When developing health-related educational technology or interventions to improve wellbeing, designers and educational technologists should consider multiple complexities, including the challenges related to measuring wellbeing while conducting research.

Artificial Intelligence

To understand AI, and reap the potential of AI for society, we need to be able to identify the difference between AI and Human Intelligence. In addition, since our students and children will experience the greatest impact of AI - both from an employment perspective, but also from cultural and sociological perspectives - we need to evaluate how AI impacts education.

Motivation, Feedback & Mindset

When developing and using educational digital environments, it is important to consider the conditions that are known to promote learning. Exploring the constructs of motivation, feedback and mindset in education helps to understand how EdTech products and services might be enhanced.

Augmenting Human Decision-Making

The exact role of AI in education is not easy to predict and there are still debates over whether it should be developed to assist human cognition or replicate it.  The use of multimodal classification models have been found to assist educators and businesses and provide advanced feedback and reflection.    

Perceived Credibility of Research Evidence

Public perceptions of educational research credibility are uneven, and it is suggested that more work is required of AI in education's stakeholders, chiefly academics and developers, to communicate with the public and recover a potentially misleading reputation of AI in education and more broadly. 

Guided Independent Learning

For the last 30 years there has been an extensive movement to change teaching in Higher Ed through innovative strategies involving independent learning.  Research suggests that providing guidance during independent learning can benefit knowledge acquisition and understanding.

Watch our Webinars

AI Readiness

We've almost finished our AI Readiness series for educators and businesses, learning how to develop an AI Mindset, and now have a new series on the way!

Each webinar we hold will have its slides and narration recorded, and you can download them here.

Meet our Senior

Research Team


Below you can find our Research Team's published works, including

educational research papers, publications, journal contributions, and more.

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