Learning Activities

Learning Activities

Activity 1- Discipline-Specific Ethical Scenario

Instructor participants will pick two AI-related scenarios from their professional experience, such as lesson plan development, assessment feedback, syllabus design, or research support. They will then use the course-provided ethical principles, such as transparency, equity, privacy, and academic integrity, to analyze how these principles apply to each scenario and to identify possible ethical conflicts.

This activity aligns with CLO 1 and CLO 2 by emphasizing contextual transfer and relevance to the discipline.

Activity 2 - Ethical Classification of AI-Supported Practices

Learners evaluate a curated collection of AI-supported instructional scenarios from the course, classifying each as ethically appropriate, conditionally appropriate, or inappropriate based on the ethical guidelines covered in the module, and justify their decisions with evidence from course readings and relevant institutional or professional standards.

This activity aligns with CLO 2 and CLO 6 by strengthening evaluative judgment and ethical reasoning.

Activity 3 - AI Tool Risk Evaluation Checklist

Participants assess an AI tool they currently use or consider using in their professional practice. Using a structured checklist, they evaluate ethical risks such as data use, bias, transparency, and academic integrity.

This activity aligns with CLO 6 and CLO 1 by building information literacy and supporting the responsible adoption of AI.

Activity 4- Ethical Decision-Making Framework Application

Learners utilize a standard ethical decision-making framework from the course to address a real or hypothetical instructional challenge involving AI integration. They record each step of the process and explain how it informs their final decision.

This activity aligns with CLO 4 and CLO 2, which support consistent, transferable ethical reasoning across instructional contexts.

Activity 5- Authentic Course Component Design Task

Participants develop or adapt a course component using their teaching background, such as a syllabus, learning activity, or assessment, while ensuring that the ethical use of AI aligns with genuine learning standards. They provide a clear explanation of how ethical principles and institutional guidelines are integrated into their design.

This activity aligns with CLO 3 and CLO 4, which serve as a performance-based application of course learning.

Activity 6- Structured Reflective Practice on Equity and Professional Responsibility

Learners complete a guided written reflection on how AI impacts equity, inclusion, and professional responsibility in their teaching environment. The reflection includes prompts and a rubric to encourage thoroughness, proper organization, and straightforward assessment.

This activity aligns with CLO 1 and CLO 5 by fostering metacognition and ethical self-regulation.