Project Overview

1. Rationale:

• Rapid Growth of AI in HE: Over the past five years, the adoption of AI in HE has surged significantly. Researchers have explored various AI applications, recognizing their potential to transform educational practices.
• Affordances of AI in HE:
  • Personalisation: AI adapts instruction to cater to diverse learner needs.
  • Prompt Feedback: Customised feedback provided by AI tools.
  • Assessment Development: AI aids in creating robust assessments.
  • Predictive Analytics: AI predicts academic success.

2. Description:

• Project Scope: The UniSQ Project focuses on integrating AI into HE environments.
• Collaboration: Interdisciplinary collaboration involving educators, AI experts, and students.
• Objectives:
  • Enhance teaching effectiveness.
  • Optimise student learning experiences.
  • Innovate assessment practices.
• Key Components:
  • Large Language Models (LLMs): Leveraging advanced language models for natural language understanding and generation.
  • Conversational-Style Generative AI: Creating interactive and engaging learning experiences.
  • AI Assistants: Supporting instructors and students in various tasks.
  • Intelligent Tutoring Systems (ITS): Personalised tutoring and guidance.
  • Predictive Models: Identifying at-risk students and providing timely interventions.
  • Assessment Tools: Rethinking assessment design using AI.

3. Reimagining Approaches to Assessment:

• Adaptive Assessments: AI tailors assessments based on individual student progress.
• Automated Grading: AI streamlines grading processes, providing timely feedback.
• Authentic Assessments: Designing tasks that mirror real-world scenarios.
• Learning Analytics: AI analyses student performance data to inform instructional decisions.
• Formative Assessment: Continuous feedback during the learning process.
• Peer Assessment: AI facilitates peer review and feedback.
• Rubrics and Criteria: AI assists in creating and applying assessment rubrics.

In summary

The UniSQ Project represents an exciting frontier where AI collaborates with educators to elevate teaching, learning, and assessment practices in HE. By embracing AI’s potential, we can create more personalised, efficient, and effective educational experiences for all stakeholders.