AI in Integrative and Formative Assessment

In today’s data-driven classrooms, AI provides educators with transformative tools to enhance assessment practices, making feedback more personalised and impactful. This one-day workshop equips you with practical strategies to incorporate AI into integrative and formative assessment, allowing you to provide adaptive feedback and track individual progress efficiently. You’ll gain hands-on experience with AI-powered assessment tools, learn how to design AI-enhanced assessments that promote continuous learning, and explore the ethical implications of using AI in evaluation. By the end of the day, you’ll leave with actionable insights, AI-powered assessment strategies, and a toolkit for delivering responsive, equitable, and effective assessment practices that support every student’s learning journey.

What you will take away:

• Create adaptive assessments that provide personalised, meaningful feedback for each student, supporting their unique learning journey.
• Utilise AI tools for efficient grading and progress tracking, giving you more time to focus on teaching and curriculum enhancement.
• Gain hands-on experience with AI-powered assessment platforms that generate real-time insights into student performance.
• Navigate ethical considerations in AI use, ensuring data privacy, bias mitigation, and equitable assessment practices.
• Leave with a personalised action plan for implementing AI in assessment, helping you build more responsive and impactful evaluation processes.

Learning Outcomes:

Knowledge

• Understand the core concepts and principles of integrative and formative assessment and the role of AI in enhancing assessment practices.
• Explore the potential benefits and challenges of integrating AI into integrative and formative assessment practices.
• Discover various AI-powered tools and technologies that can support and transform integrative and formative assessment.
• Gain insights into ethical considerations and responsible AI use in assessment, particularly in relation to data privacy and bias detection.

Skills

• Master AI tools for formative assessment that provide adaptive, personalised feedback, ensuring students stay engaged and on track with their learning goals.
• Explore integrative assessment strategies that use AI to analyse data patterns, support differentiated instruction, and track individual progress.
• Design effective AI-powered assessments that promote active student participation and growth, offering insights into performance that inform instruction.
• Address ethical concerns in AI-driven assessment, focusing on transparency, data security, and fairness to ensure equitable learning experiences.

Target Audience: Teachers, Key Personnel, School Leaders, instructional designers, and administrators/executives from all levels of education. No prior AI experience is required. This workshop is suitable for educators across all levels of experience, whether you're completely new to AI or looking to enhance your existing knowledge.