Learning Outcomes
By the end of this course, learners will be able to:
Analyze the ethical principles, including transparency, equity, privacy, and academic integrity, by applying them in at least two discipline-specific instructional scenarios in their discipline, documented in a written scenario analysis.
Categorize AI-supported instructional scenarios in their professional practice as appropriate or inappropriate based on the provided ethical guidelines and a structured evaluation rubric. provided.
Design an AI-integrated course component, for example, a course syllabus or learning activity that aligns with ethical principles and meets the provided criteria for authentic learning assessed through a course rubric.
Apply an ethical decision-making framework when integrating AI tools into instructional practice
Compose a reflective analysis evaluating the Implications of AI tools' use for equity and professional responsibility in teaching using course reflection prompts and assessment rubric.
Evaluate selected AI tools using an ethical evaluation framework to assess potential risks, such as their impact on data privacy, bias, equity, transparency, and academic integrity.
REFERENCES
Ozyurt, M., Kan, H., & Kiyikci, A. (2021). The Effectiveness of Understanding by Design Model in Science Teaching: A Quasi-experimental Study. Eurasian Journal of Educational Research (EJER), 94, 1–23. https://doi-org.ezp
Tonia A. Dousay, & Robert Maribe Branch. (2022). Survey of Instructional Design Models : Sixth Edition. Brill.