AI Integration Guidelines
based on MEF University AI Policy

🔹 Assess students' current AI literacy levels;

🔹 Consider available AI resources;

🔹 Review industry demands and AI adoption in your field.

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

🔹 After, 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 of "a." and "b.";

d. Potentially obsolete due to AI.

🔹 Based on the results of your analysis, if needed, write objectives/outcomes that explicitly include AI competencies.

🔹 Apply the Constructive Alignment Framework, ensuring that:

a. Learning objectives: Write objectives that incorporate how your students will use AI in real-world scenarios; if necessary make sure they 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. When necessary, design two-tiered assessments: a. Foundational competencies assessment (AI-free) b. AI-augmented practical application.

🔹 Pro Tip: If you did not change any of your learning objectives or any of its sub skills or knowledge, you can still integrate AI into your instruction (as learning tool only) to make learning more effective, efficient, engaging, inclusive, etc.

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

AND/OR 

🔹 Develop learning tasks that integrate AI into your instruction to make learning more effective, efficient, engaging, inclusive, etc.

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

🔹 Create clear guidelines for AI use for assignments (assessments) 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 as necessary based on your objectives. Feel free to utilize MEF University's "AI Cafe" service and collaborate with CELT for AI integration support.

🔹 Facilitate discussions about AI limitations and capabilities.

🔹 Plan for three types of interactions based on your objectives:

a. Teacher-Student

b. Student-Student

c. Student-Content

d. Student-AI

🔹 Monitor and guide AI tool usage as necessary.

🔹 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.

🔹 Evaluate effectiveness of your AI integration.

🔹 Consider not only the product but the process of learning (e.g. ask, "how much mental effort did my student use while engaging with AI-augmented learning tasks compared to before AI?")

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

🔹 Document successful and unsuccessful AI implementations.