1. The Evolving Role of Assessment Professionals: As AI automates routine tasks, assessment professionals must focus on higher-order skills like identifying key data, designing effective data collection strategies, and interpreting AI-generated insights. "These tools are going to allow us to collect a lot more data about students… giving us deeper insights into what’s working and what’s not in our programs."

2. Agent-Based AI Models: The transition from dialogue-based tools (e.g., ChatGPT) to autonomous agent-based models introduces new considerations for task delegation and ethical use. "When we have models that we can delegate tasks to, it becomes critical to be thoughtful about what tasks are delegated."

3. Thoughtful AI Adoption: Implementing AI in education requires careful consideration of student needs, data privacy, and equity to ensure ethical and effective use.

Most Important Ideas

• Automation of Routine Tasks: AI streamlines assessment, freeing professionals for strategic roles. For example, Walton’s tool analyzes student artifacts automatically using pre-defined rubrics.
• Prompt Quality Matters: The "garbage in, garbage out" principle applies. Poorly crafted prompts lead to suboptimal AI outputs. "If you give it a dumb prompt, you’ll access the dumb part of that model’s brain."
• Equity Concerns: Wealthier institutions investing heavily in AI may widen gaps between privileged and underserved students. "This is the single biggest equity topic…wealthier schools are throwing money at AI for their students."
• Human Connection is Essential: AI should complement, not replace, human tutors, allowing them to focus on personalized support and emotional needs.
• Communicating AI Benefits: Institutions must clearly convey the advantages of AI-powered tools to students and parents. "How are we going to package this…in a way that helps students understand the benefit?"

Key Quotes

• Devan Walton: "We’re shifting to agent-based tools…thoughtfulness about delegated tasks is crucial."
• Peter Shea: "Wealthier schools are already investing heavily in AI, creating an equity gap."
• Anne Converse Willkomm: "We need to help students understand AI’s benefits."
• Ruth Slotnick: "This is a once-in-a-generation technology…bigger than the Internet."

Call to Action

1. Engage with AI: Assessment professionals should develop a deep understanding of AI’s capabilities and limitations.
2. Create Ethical Frameworks: Institutions must establish guidelines for responsible AI use in education.
3. Foster Collaboration: Open dialogue between educators, students, and technology experts is essential to ensure AI serves all stakeholders effectively.

AI offers transformative potential for higher education assessment, but ethical, equitable, and strategic adoption is critical to harness its benefits fully.