This course delves into the intersection of artificial intelligence (AI) with leadership roles, policy development, school administration, and educator professional development in the field of education. AI technologies offer transformative opportunities for educational leaders and policymakers to make data-driven decisions, innovate policies, streamline operations, and empower educators with AI literacy and pedagogical integration.
Objectives:
Number or Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: This course is designed for educators, instructional designers, education technologists, policymakers, and anyone interested in leveraging AI to enhance teaching and learning experiences..
Required Materials:
Technical Requirements
Prerequisites: EDU-X758Q, Introduction to Artificial Intelligence (AI) and Education is highly recommended, but not required, to be taken prior to taking this course. If enrolling into the certificate we recommend taking the courses in the following order: EDU-X758Q, EDU-X787T, EDU-X788T and EDU-X789T.
Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the New Student Orientation and your online course.
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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