About AI & Student Learning

Artificial intelligence (AI) has made a remarkable entry into education, leaving educators with a mix of emotions. This course will help educators navigate this new frontier by exploring different types of AI and their applications, the ethical challenges and dilemmas of AI in education, the impact of AI on teaching and learning, and the design of activities and assessments that incorporate AI. Upon completion of the course, participants will have the knowledge necessary to make informed decisions about how AI can be effectively integrated into their teaching practices.

Credit: 1 USBE or 1 SUU Credit
Course Type: Self-Paced
Course Level: Beginner
Cost: Free to Utah Educators

Self-Paced Course:
Participants may join and complete coursework on their own schedule and at their own pace. All modules will remain open throughout the calendar year. Assignments may be submitted at any time through December 31, 2025. The instructor will grade work at least twice a month, typically around the 1st and 15th of each month.

 Expected Learning Outcomes

At the conclusion of this course participants should be able to:

• Explain key terms and ideas related to generative artificial intelligence. 
• Discuss their philosophies of education in relation to the rise of generative artificial intelligence and Utah’s Portrait of a Graduate. 
• Describe the ethical considerations surrounding the use of generative artificial intelligence in various educational and non-educational contexts. 
• Design learning tasks and assessments that center a process over a product. 
• Write simple and complex prompts. 
• Describe the current limitations of large language models and those limitations’ implications for the use of generative artificial intelligence in the classroom. 
• Describe the current state of image-, music-, and video-generation AI tools. 
• Generate educational resources using education-specific AI tools, such as MagicSchool, SchoolAI, or Skill Struck. 
• Evaluate the efficacy of learning activities designed around student-facing use cases for generative artificial intelligence. 
• Evaluate and critique the use of generative AI tools in classroom environments. 

 Final Assessment

The assignment requires participants to evaluate three scenarios by completing a graphic organizer. For each scenario, participants must categorize the described AI implementation based on the Student-Facing AI Checklist, justify their categorization using ethical principles, identify potential improvements, and assess whether the AI tool used in the scenario was the best choice.