AI Integration Guidelines
based on MEF University AI Policy

🔹 Conduct a granular analysis of how AI impacts the relevance and use of specific knowledge and skills in your field.

🔹 Review industry demands and AI adoption in your field.

🔹 Identify which of your course elements are: 

a. Foundational (AI-free-requiring learning without AI)
Note: Students need foundational AI-free learning to develop the core understanding necessary to critically evaluate and effectively use AI tools, just as one must understand basic math before using a calculator effectively. 

b. AI-augmentable 

c. Requiring combined methods 

d. Potentially obsolete due to AI

🔹 Identify potential barriers to AI integration:

🔹 Assess students' current AI literacy levels

🔹 Evaluate students' access to AI tools

🔹 Consider available AI resources

🔹 Write objectives that explicitly include AI competencies.

🔹 Apply the Constructive Alignment Framework when integrating AI, ensuring that:

a. Learning objectives: Write objectives that incorporate how your students will use AI in real-world scenarios; make sure to reflect both foundational competencies (AI-free learning-as necessary) and AI-augmented skills.

b. Teaching methods: Incorporate appropriate AI tools and interactions based on your objectives.

c. Assessment methods: Measure your objectives (In other words, create authentic assessments reflecting as much as possible real-world AI use).

🔹 When necessary, design two-tiered assessments: a. Foundational competencies assessment (AI-free) b. AI-augmented practical application.

🔹 Include ethical AI use as a learning objective where appropriate.

🔹 Develop learning materials and activities that incorporate AI usage that help students practice the learning objectives.

🔹 Create clear guidelines for AI use when learning or refer students to the university AI policy.

🔹 Create clear guidelines for AI use for assignments or refer students to the university AI policy.

🔹 Prepare examples of appropriate AI use cases.

🔹 Communicate clear expectations for AI use: Share guidelines for ethical AI use or go over the university AI policy together in class.

🔹 Provide AI tool training and orientation. Feel free to utilize MEF University's "AI Cafe" service and collaborate with CELT for AI integration support.

🔹 Plan for three types of interactions: 

a. Teacher-Student

b. Student-Student

c. Student-Content

d. Student-AI

🔹 Monitor and guide AI tool usage.

🔹 Facilitate discussions about AI limitations and capabilities.

🔹 When evaluating potential AI misuse:

a. Rely primarily on direct evidence (e.g., inconsistencies with previous work, poor oral defense of work).

b. Literature shows that AI detection tools work poorly and inconsistently. Based on the MEF University AI policy, they can only be used as supplementary evidence, not as primary proof.

c. Document both successful and unsuccessful detection methods and maintain clear evidence standards that acknowledge the limitations of detection tools.

🔹 Assess student learning outcomes with and without AI.

🔹 Gather feedback on AI tools/integration effectiveness from your students.

🔹 Evaluate effectiveness of your AI integration.

🔹 Document successful and unsuccessful AI implementations.