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.