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  Human-AI collaboration, learning analytics and real time feedback


   PhD Opportunities

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  Assoc Prof Maarten De Laat, Dr Srecko Joksimovic, Dr Rebecca Marrone  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Are you interested in advancing your career in AI research and education? The University of South Australia – Australia’s University of Enterprise – is offering an exciting opportunity to apply for a PhD project within the Centre for Change and Complexity and in collaboration with the education sector.

In this project you will investigate how schools accept and embrace AI technology as part of the learning experience and explore how students and AI can solve complex problems together.

Our future society will be dominated by AI, advanced technology and automation, and our next generation needs to be AI savvy to continue to make a difference. We need an AI curriculum in our schools to help prepare kids to learn with AI, to develop AI, to interact with non-human actors and learn to critically engage in ethical discussions on AI. You will have a unique opportunity to develop a learning lab for schools that provides a safe place to explore and learn with AI.

The successful candidate will join an interdisciplinary team in the Human and Artificial Cognition (HAC) research stream. The AI Learning Lab is a key research program in this research stream. As such, you will engage in highly innovative and ground-breaking research on AI in education.

You will collaborate closely with schools, industry and leadership to influence and action an AI (research) agenda for education. The collaborative nature of our Centre's research ensures that you will develop entrepreneurial skills that will help you develop and shape your career.

What you’ll do

In this research degree project, you will be embedded in an existing dedicated research project addressing the four key areas in this research program:

  1. How students accept and collaborate with AI and advanced technology to solve problems that require more than human capability alone.
  2. How student learning and human-machine collaboration can be augmented with AI and learning analytics based on real time feedback.
  3. What requirements, policies, criteria and infrastructure needs to be in place to govern the AI Learning Lab as a safe place for schools and students to learn with AI.
  4. What teacher professional development and community learning should the AI Learning Lab offer to collectively expand the AI curriculum (lessons and resources) and support teaching and learning with AI in schools.

You will have access to our data for AI research infrastructure (DAIR) to collect, process, model and analyse data; collaborate with industry to develop AI (placements can be considered depending on the type of research project); and collaborate with schools to design and implement AI in teaching and learning practices (on-site research in schools will be a frequent activity).

You will have opportunities to present at conferences and seminars.

Being a centre member, will enable you to access our internal research training and capacity building program to enhance your research skills in field of AI, learning analytics, digital and technology enhanced learning.

Where you’ll be based

You will be based at the Centre for Change and Complexity (C3L) which focuses on the complex relationship between human and artificial cognition, how it changes society, knowledge processes, and teaching and learning.

C3L uses complexity science methodologies, promotes the uptake of applied research and engages with the community, government agencies (healthcare, education, defence, cultural) and industry to research the lifespan of learning and the role of UniSA in serving all stages of knowledge and learning processes.

Supervisory Team

Associate Professor Maarten De Laat - Principal Supervisor

Dr Srecko Joksimovic - Co Supervisor

Dr Rebecca Marrone – Co Supervisor

Eligibility and Selection

This project is open to applications from Australian or New Zealand citizens, and Australian permanent residents or permanent humanitarian visa holders. International applicants are not invited to apply at this time

Applicants must meet the eligibility criteria for entrance into a PhD.

All applications that meet the eligibility and selection criteria will be considered for this project. A merit selection process will be used to determine the successful candidate.

The successful applicant is expected to study full-time, and to be based at our City West campus in the heart of Adelaide.

Essential Dates

Applicants are expected to start in a timely fashion upon receipt of an offer. Extended deferral periods are not available.

Applications close: 30 January 2022

Principal Supervisor: Associate Professor Maarten De Laat

Computer Science (8)

Funding Notes

The project is funded for reasonable research expenses. Additionally, a living allowance scholarship of $28,854 per annum is available to Australian and New Zealand citizens, and permanent residents of Australia, including permanent humanitarian visa holders. A fee-offset or waiver for the standard term of the program is also included. For full terms and benefits of the scholarship please refer to our scholarship information.