RESEARCH: Exploring Theory of Mind in Educational AI Systems and Ethical Considerations
You are invited to participate in a research project conducted by researchers from Torrens University Australia. The ethical aspects of this study have been reviewed and approved by the Human Research Ethics Committee (HREC) of Torrens University, reference number 482.
About the project
The integration of Theory of Mind (ToM) into AI systems is crucial for advancing human–machine interactions. This approach enables AI systems to interpret and respond to human emotions and intentions, fostering authentic and empathetic interactions. In turn, this increases user trust and supports responsible and ethical application, particularly in educational settings.
Eligibility
This survey is open to students, educators, AI developers, policymakers, ed-tech specialists, and researchers in AI systems, AI ethics, or cognitive science.
Research Aim
This research aims to explore how integrating Theory of Mind (ToM) into AI educational systems can improve human–AI interactions, personalise learning, and boost student engagement. Enabling AI to understand and respond to human emotions and intentions allows these systems to become more adaptive and responsive in educational settings.
Participation in this research is voluntary and anonymous. The survey includes a set of quick and straightforward multiple-choice questions (rating or scale).
Please note that there are no financial incentives offered for participation in this research.
This survey is only available in an online format, and no financial incentives are offered for completion. Due to the anonymous nature, it will not be possible to withdraw your responses from the survey.
Completion of the survey will be taken as your implied consent to participate. All data collected will be securely stored on Torrens University Australia’s systems and managed in accordance with the Australian Code for the Responsible Conduct of Research.
Thank you in advance for your contributions and time.
If you have questions or would like a copy of the final research publication, please contact one of the following:
- Clarice Forrc (Torrens University Australia research student): clarice.chaves@business.torrens.edu.au
- Dr. Tayab Din Memon (Principal Investigator): tayabdin.memon@torrens.edu.au
- Dr. Nandini Sidnal (Co-Principal Investigator): nandini.sidnal@torrens.edu.au
If you would prefer to contact someone independent of the research project, please email Torrens University’s Human Research Ethics Manager at ethics@torrens.edu.au.
Take the survey here
About the researcher
Clarice Forrc
Associate Learning Facilitator – Business Faculty
Researcher – Centre for Artificial Intelligence Research and Optimisation (AIRO)
clarice.chaves@business.torrens.edu.au
I am an Associate Learning Facilitator at the Business Faculty of Torrens University, Australia, teaching bachelor-level subjects including MIS100 Foundations of Information Systems, MIS304 Information Systems for Business (Advanced), MIS201 Database Fundamentals, and MIS102 Data and Networking. I focus on fostering student growth and critical thinking, emphasising practical applications in real-world business, facilitating knowledge exchange, and providing clarity in their educational and professional journeys.
In parallel, I work as a Project Lead, guiding organisations with customer-focused solutions and leveraging expertise in data analysis, process improvement, project management, and stakeholder engagement to drive impactful outcomes. Currently, I led the MIS611 Information Systems Capstone for master’s students, managing a project with around 40 participants, building on my strong industry experience and previous successful Social Enterprise Hub (SEH) projects at TUA.
I hold a Bachelor’s and Master’s in Business Administration, a Master of Business in Information Systems, and am currently pursuing an MPhil in Philosophy with a focus on AI research. I plan to apply for a PhD Transition in December, reflecting the significance of my work and my commitment to advancing knowledge at the intersection of business, technology, and research.
My research interests focus on:
- Psychology
- Neuroscience
- Cognitive Science
- Computational Modelling
- Ethics in AI
- Philosophy