This comprehensive course addresses the critical legal and ethical considerations surrounding artificial intelligence integration in educational settings. Participants will learn to navigate complex privacy laws (FERPA, COPPA), understand data protection requirements, develop responsible AI policies, and create frameworks for ethical AI implementation. The course combines legal expertise with practical classroom applications, providing educators and administrators with the knowledge needed to use AI tools confidently while protecting students and institutions from legal risks. Through real-world case studies and interactive scenarios, participants will develop skills in threat detection, bias mitigation, and stakeholder communication around AI adoption.
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: K-12 teachers involved in AI implementation decisions, School administrators, district technology coordinators, curriculum directors, instructional technology specialists, educational policy makers, school board members, legal compliance officers, and professional development coordinators.
Course Materials: No textbook requirement.
Technical Requirements
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Courses offer a convenient, yet rigorous style of learning that allows you to structure your education to suit your schedule while keeping you on pace toward achieving your educational goals.
Online fixed-date courses are delivered virtually but follow a predetermined schedule, requiring students to complete assignments, participate in discussions, and take assessments by specific deadlines—much like a traditional classroom. The key difference is that while traditional courses are conducted in person at set times and locations, online fixed-date courses allow students to engage remotely, offering more flexibility in where they learn while preserving structure and accountability through fixed timelines. (Note: Any scheduled Zoom sessions will be outlined on the class schedule.) These courses have fixed start and finish dates, but as an online student you will have 24/7 online access to your classroom assignments, syllabus and course resources. Instructor feedback is shared along with the graded assignments.
How is the learning structured? Each online fixed-date course is asynchronous, meaning that you can work on your assignments anytime, although you are required to complete the assignments by specific dates. The course is designed with learning modules where all of the content is grouped into weekly assignments. Each module covers one or more topics. Within each of the learning modules, you can expect the following components:
• Module introduction that outlines what you can expect to learn in the module.
• Required readings (textbook, articles, journals, etc.) and presentations (audio and/or video).
• Assignments with due dates (which may include: written assignments, journal entries, research, blogs, etc.) based on the readings and presentations.
• Discussion forum where you answer prompts from the instructor and interact with your classmates.
• Module conclusion to review the topics and what you should have learned.
Typically, there is a final project, paper, or exam due in the last module that culminates all of the topics covered in each of the learning modules. You’ll find that the design of the learning modules has a rhythm to help you manage your time in the course.
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