AAIR has made its best effort to find and publish events relevant to the AAIR community, and makes no representation or warranties with respect to the accuracy, applicability, fitness, or completeness of the contents of this events page. If you wish to register for any of the events listed, you take full responsibility for your actions. AAIR shall not be held liable to any party for any damages arising directly or indirectly from any use of this material, which is provided as is, and without warranties. All links are for information purposes only and are not warranted for content, accuracy or any other implied or explicit purpose.
5 June 2023 (2–4pm AEST)
Online
You are invited to the third webinar in the ‘Implications of Generative Artificial Intelligence for Higher Education’ series. This series of webinars addresses what is known at present about generative artificial intelligence (genAI), its implications for learning, teaching and assessment and how such technologies might transform higher education into the future.
GenAI, such as ChatGPT, generates comprehensive, complex and generally intelligible textual, image-based and auditory responses to user prompts. Six months after the release of ChatGPT, our expert panel reviews the impact of genAI. We explore how a much-hyped technology is unfolding in reality from institutional governance, regulatory, academic integrity and educational technology research perspectives. Join us to hear from our panellists.
Professor Rowena Harper is Deputy Vice-Chancellor (Education) and Professor at Edith Cowan University. An active researcher, she is perhaps best known for her work in academic integrity, but has also researched in educational development in digital learning environments, and English language and communication development.
Professor Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, where he serves as Director of the Connected Intelligence Centre. Working in close partnership with faculties using human-centred design methods, his team pilots, evaluates, and scales data-driven web apps to provide personalised feedback, used by >35K UTS students.
Professor Phillip (Phill) Dawson is a Professor and Co-Director of the Centre for Research in Assessment and Digital Learning (CRADLE) at Deakin University, where he researches assessment, feedback and cheating. His most recent books include Defending Assessment Security in a Digital World (Routledge) and the co-edited volume Re-imagining University Assessment in a Digital World (Springer).
Dr Helen Gniel is the Director of TEQSA’s Higher Education Integrity Unit. The unit was established in January 2021 to identify threats to the integrity of Australia’s higher education system, as well as avenues to support the sector to mitigate these risks.
Professor Margaret Bearman is a Research Professor in the Centre for Research in Assessment and Digital Learning (CRADLE). She focuses on higher and professional education with interests in assessment design, feedback and education in a digital world.
20 June 2023 (12–1pm AEST / 2–3pm NZST)
Online
Presenter: Matt Feltham
Dimensional models provide great benefits in delivering accurate and easily understood insights to the business.
In this session you will learn about what a dimensional model is, how it delivers superior analytics capabilities, and the unique tips and tricks to consider in the university sector when building your student analytics dimensional model.
Pricing
Dates to be confirmed.
Online
More information coming soon.
Pricing
22 June 2023 (2–3pm AEST / 4–5pm NZST)
Online
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Presenter: Joey Crawford, Senior Lecturer in Management, Tasmanian School of Business and Economics
Ensuring and maintaining students’ sense of belonging at University is an ongoing challenge for higher education providers, particularly as more students experience loneliness and low well-being. This session will share the findings from a recent study conducted in collaboration with the University of Tasmania, Monash University, Australian Catholic University, and the University of Queensland, which examined the causal predictors of ‘sense of belonging’ using longitudinal SES data drawing on a machine learning model. Key predictors of students’ sense of belonging will be discussed in the context of transition, connection, and retention.
Pricing
26–29 June 2023 (Virtual, 28–29 June 2023)
San Francisco, California, USA
Large Language Models (LLM) are taking AI mainstream. Join the premier event for the global data community to understand their potential and shape the future of your industry with data and AI.
Join thousands of data leaders, engineers, scientists and analysts to explore all things data, analytics and AI – and how these are unified on the lakehouse. Hear from the data teams who are transforming their industries. Learn how to build and apply LLM to your business. Uplevel your skills with hands-on training and role-based certifications. And connect with data professionals from around the world.
5 July 2023 (12–1pm AEST / 2–3pm NZST)
Online
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Presenters: Lester DSouza and Leon Bombotas
It’s the right time to discuss how we can make our BI and analytical processes smarter.
In the age of ChatGPT, how can we harness the smarts of automated insights and make life easier for the community?
Watch this space. More information coming soon!
Pricing
19 July 2023 (12–1pm AEST / 2–3pm NZST)
Online
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More information coming soon.
Pricing
27 July 2023 (12–1:30pm AEST)
Online
In higher education, benchmarking, setting targets and measuring success are crucial components of continuous improvement and institutional accountability. This 90-minute online session is designed to empower professionals to contribute to continuous improvement and accountability in higher education and to support the development of world-class institutions of higher learning.
16 August 2023 (12–1pm AEST / 2–3pm NZST)
Online
How do we go about building useful insights to help universities understand how successful we are at our research endeavours? Planning, data, and analytics teams traditionally support educational institutional analytics, but the era of supporting academic research institutional analytics is here!
We invite you to join us in having a ConvAAIRsation about:
Pricing
23 August 2023 (12–1pm AEST / 2–3pm NZST)
Online
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Guest speaker to be announced.
More information coming soon.
Pricing
31 August 2023 (12–1pm AEST / 2–3pm NZST)
Online
* SAVE THE DATE *
More information coming soon.
Pricing
Dates to be confirmed.
Online
More information coming soon.
Pricing
28 September 2023
Online
More information coming soon.
Pricing
Dates to be confirmed.
Online
More information coming soon.
Pricing
Dates to be confirmed.
Online
More information coming soon.
Pricing
10 October 2023 (12–1pm AEST / 2–3pm NZST)
Online
More information coming soon.
Pricing
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