AI Pedagogy Project
AI Pedagogy Project – University of Southern Queensland
Augmenting learning and teaching in higher education using Artificial Intelligence
This initiative aims to harness the power of artificial intelligence (AI) to enhance the quality of learning and teaching experiences at UniSQ. By leveraging the affordance of AI technologies, the project seeks to reimagine traditional approaches to education, improve student outcomes, and foster innovation in teaching and assessment methods.
AI Pedagogy Sandbox: Building AI Futures Together
An Interactive Workshop for AI Innovation in Higher Education
Join us for a dynamic day of exploration, collaboration, and hands-on creation as the UniSQ AI Pedagogy Project (AIPP) welcomes colleagues from Justus Liebig University Giessen, Germany. This special event brings together educators, researchers, and AI enthusiasts to share innovations, explore emerging practices, and collaboratively build prototypes that advance AI integration in teaching and learning.
Presentations and lightning talks
Our JLU guests will share their research and innovations. UniSQ AIPP members will share lightning talks on Agentic AI, AI avatars, course integration, assessment reimagining, and ethical frameworks.
Discussion session
A post-presentation opportunity for whole group open exchanges to help build deeper understanding, surface meaningful cross connections, and create more shared framing before moving into the hands on build phase and group challenge session.
Group challenge
An active building session where participants, including our German colleagues, form cross-institutional and cross-discipline teams to prototype solutions, design frameworks, or create AI tools that address real pedagogical challenges.
Whether you’re exploring AI possibilities, actively implementing AI in your courses, or researching AI’s impact on education, this sandbox provides space to experiment, learn from colleagues, and turn ideas into tangible outcomes. Leave with new connections, practical prototypes, and pathways for ongoing collaboration between UniSQ and JLU.
Suggested group challenge themes below, however groups can form independently based on earlier discussions and idea formation:
- Constructive Alignment under AI conditions: Redesign learning outcomes, learning activities, and assessment in a coherent way that meaningfully integrates AI use, while keeping a clear human centered educational focus.
- Future oriented competencies and assessment transformation: Define what students should be able to do in the near future, and propose assessment formats that capture these competencies (for example more problem oriented and research centered formats, rather than classic exams or traditional term papers).
- Conversational Agentic AI and collaborative learning – why, when and how?: Consider the future of learning and teaching with AI Agents that go beyond simple chatbots and become equal learning partners with individuals and groups of students with regards to strategies, applications and resources.
Dr. Sebastian Busse is Program Coordinator for Master’s programs in Data Science and Data Analytics at Justus Liebig University Giessen. His background in cognitive neuroscience informs his interest in understanding modern AI systems. Since 2023, he has been exploring Large Language Models and their impact on education, with a focus on human-machine interaction and the psychological effects of AI usage.
Sebastian will speak about: Designing AI Enhanced Blended Learning
Dr. Joss von Hadeln is the managing director of the Center for Applied Informatics and Data Science at Justus Liebig University Giessen. With a background in neuroscience, he explores how perception, autonomy, and human creativity relate to artificial intelligence. His work focuses on AI literacy, critical reflection, and frameworks that balance technological innovation with human agency.
Joss will speak about: Educating for Uncertainty: The Alignment Problem
Details
- When: Tuesday, February 17,
- Time: 9:30am arrival (BYO coffee) | 10:00am start – 3:30pm
- Where: Toowoomba, B Block – B102
- Lunch: 12:15pm – 1:00pm (provided)
Bring your curiosity, your questions, and your laptop – we’re building the future of AI pedagogy together.
CAULLT Academic Development Presentation
AIPP was shortlisted for a CAULLT Academic Development Award, October 2025. Lisa and Julie presented a ‘Pecha Kucha’ style overview of the project. The video below is a slightly longer mockup.
Key activities within the AI Pedagogy Project (AIPP):
1. Artificial Intelligence for Learning and Teaching Collective (AILTC):
The AILTC is an inclusive community of practice that aims to represent a wide range of perspectives, including those of educators, researchers, developers, students, policymakers and other stakeholders. Through providing ongoing virtual and in-person networking opportunities it offers participants avenues to interact with peers, industry experts, and practitioners, thereby fostering collaboration and potentially catalysing new projects or research endeavours. A regular symposium brings the CoP together, including external AI thought leaders, to showcase AI-powered educational innovations, share best practices, and disseminate research findings to the broader academic community.
2. Learning Design and Assessment:
A multi-modal, ongoing, goal-based activity to integrate AI into the design and delivery of courses. The focus is to foster collaboration between instructional designers, subject matter experts and others involved in learning environment development. In addition to finding, piloting and planning to implement relevant AI tools and associated pedagogies, this could involve:
- Creating AI-powered interactive learning modules
- Reimagining approaches to assessment purpose and design
- Developing AI-driven simulations and virtual environments for experiential learning
- Enhancing teacher productivity and enhancing the student learning experience
Regular meetings will provide continuity for individual, school and discipline goals to be ideated, supported, implemented and tracked.
3. Academic Development:
Constructed, sourced and focused academic development opportunities to enhance the understanding of AI in the higher education learning and teaching context to support AI literacy leading to fluency through:
- A seminar series focusing on best practice use of and leadership in AI
- Online modules for just in time learning
- Sharing of resources, research, and practical examples
4. AI Tools:
The exploration, development, piloting, evaluating and implementation of AI tools is crucial to future learning and teaching success. The focus is on integration of AI-powered tools and applications specifically designed for educational purposes. These could include:
- Chatbots for student support
- AI-driven adaptive learning platforms
- AI-assisted essay grading systems
- AI-powered virtual classroom assistants
5. Research into the impact of AI:
This includes the construction and sharing of research projects and case studies to evaluate the effectiveness of AI-based pedagogical approaches. Studies include the exploration and impact of AI on student engagement, learning outcomes, teacher productivity, and overall educational experiences.
Join the AI Pedagogy Project (AIPP)
The AIPP is the UniSQ Learning and Teaching Futures Portfolio umbrella for activities and discussions around AI awareness, fluency, academic development and integration into learning, teaching and assessment.
The AIPP Padlet is a searchable resource that collects artefacts under headings of Higher Education, Tools, Videos and Podcasts, Articles and Blog posts, Resources and Training, and Ideas.
Contact Us
For more information about the AI Pedagogy Project please contact:
Dr Julie Lindsay
Senior Consultant (Technology Innovation)
Email: learningandteachinginnovation@unisq.edu.au
AIPP Sub-Projects
The AIPP currently has two sub-projects:
1. ChatBot creation: Exploring tools and facilities for creation of discipline-specific chatbots for a range of student affordances.
2. AI PowerUp: Supercharge your learning
- A student-facing resource implemented in early Feb 2025.
- Also available on this public-facing website.
- View the Introduction video.
- Built on H5P and supports and advises on different areas:
Read the AI Pedagogy Project Blog
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