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
Professional development courses offered by the University of San Diego’s Division of Professional & Continuing Education are taught by faculty that possess a depth and breadth of academic and real-world professional experience.
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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.
Our online self-paced courses are designed to provide flexibility and autonomy for learners. Unlike traditional classroom methods, which require attendance at scheduled times, self-paced courses allow you to progress through the material at your own speed within a six-month period from the time of enrollment. Your instructor will provide feedback via written responses on your assignments and exams. Grades are based on completed projects, assignments and exams.
Key differences from traditional classroom methods:
Structure of Online Self-Paced Courses:
The content is divided into learning modules, each covering one or more topics. Within each module, you can expect the following components:
Typically, there is a final project, paper, or exam due in the last module that synthesizes all the topics covered throughout the course. The design of the learning modules follows a consistent rhythm to help you manage your time effectively. Grades will be available within two weeks of final submission, transcripts will be automatically mailed out following grades being posted and approved. Please allow 3-4 weeks from when final grades are posted to receive a transcript.
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