This session explores innovative approaches to formative assessment using AI, focusing on transparency and adaptivity. We’ll demonstrate how AI can enhance the assessment process while adhering to Bloom’s Taxonomy and TILT principles, promoting equity and deep learning in higher education.

The rapid adoption of generative AI tools by students has necessitated a shift in assessment strategies. Traditional methods of evaluation are increasingly vulnerable to AI-generated content, raising concerns about academic integrity. However, AI also presents unprecedented opportunities to enhance the formative assessment process, making it more transparent, adaptive, and aligned with higher-order thinking skills.

Theoretical Framework

Our approach integrates three key frameworks:

1. Transparency in Learning and Teaching (TILT): We apply TILT principles to ensure that the purpose, tasks, and criteria for AI-enhanced formative assessments are clear to all students, promoting equity and increased success rates.

2. Bloom’s Revised Taxonomy: We use this framework to design AI-supported assessments that target higher-order thinking skills, which are more challenging for AI tools to replicate.

3. AI Assessments Scale (AIAS): This framework helps regulate the use of AI in assessments, moving beyond a binary view of academic integrity.

Innovative Approaches

We will present several innovative approaches to AI-enhanced formative assessment:

1. AI Supported Writing Process: Students use AI to improve drafts, documenting their use and receiving feedback on their writing process rather than just the final product.

2. Virtual Patient Interactions: In health sciences, students interact with AI-powered patient bots, allowing for formative assessment of their communication and diagnostic skills.

3. Adaptive Quizzing: AI-powered quizzes that adjust difficulty based on student responses, providing immediate feedback and targeting for improvement.

4. Collaborative Problem Solving: Students work with AI tools to solve complex problems, with assessment focusing on their ability to critically evaluate and apply AI-generated suggestions.

Equity and Inclusion

Our approach addresses equity concerns by:

-- Ensuring all students have equal access to AI tools within the learning environment
-- Using TILT principles to make assessment expectations clear to all students, regardless of background.
Focusing on higher-order thinking skills that level the playing field between AI-assisted and non-assisted work.

Interactivity Plan

To engage the audience, we will:

1. Conduct a live demonstration of an AI-enhanced formative assessment tool (i.e., Grammarly).
2. Facilitate a small group discussion on potential applications in various disciplines,
3. Use real-time polling to gather audience perspectives on AI in assessment.
4. Provide a hands-on opportunity for participants to design an AI-enhanced formative assessment using provided templates.

Takeaways

Participants will:

-- Understand how to integrate AI into formative assessments while maintaining academic integrity
-- Learn strategies for applying TILT principles and Bloom’s taxonomy to AI-enhanced assessments
-- Gain practical tools and templates for designing transparent, adaptive formative assessments
-- Develop strategies for promoting equity and inclusion in AI-supported learning environments

Conclusion

By reimagining formative assessment through the lens of AI, transparency, and adaptivity, we can create more equitable, engaging, and effective learning experiences. This session will provide educators with the tools and strategies needed to navigate the changing landscape of assessment in higher education.