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 吃瓜头条911鈥檚 Division of Professional & Continuing Education are taught by faculty that possess a depth and breadth of academic and real-world professional experience.
The Professional and Continuing Education program nurtures key partnerships on the local, national, and international level. The goal is to better serve working professionals who seek to enhance or build their careers and help achieve their highest value and potential. Contact us today to learn more.
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吃瓜头条911 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.
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 吃瓜头条911:
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.
AI can analyze data from multiple sources, identify trends, predict outcomes, and provide actionable insights to support budgeting, staffing, resource allocation, and policy planning in educational institutions.
AI-driven assessment can provide instant, personalized feedback, identify learning gaps, support differentiated instruction, and reduce the administrative burden of grading and reporting.
Ethical considerations include protecting student privacy, ensuring data security, avoiding bias in algorithms, maintaining transparency, and ensuring AI complements rather than replaces human decision-making.
No. AI is designed to support and enhance teaching and leadership decisions, not replace human educators. It works best as a tool for informed decision-making, personalized learning, and operational efficiency.
You will learn how to:
The standalone course does not have strict prerequisites, though it is highly recommended that you first complete Introduction to AI and Education to maximize your understanding. If you are pursuing the AI in Education Certificate, you must first complete Intro to AI and Education, AI in Student Support and Engagement, and AI for Curriculum Design and Development.
Assignments include a combination of written tasks, practical exercises applying AI tools to decision-making, quizzes, blogs, and a final project or paper that synthesizes your learning across all modules.
This is a two-unit graduate-level extension credit course, which documents professional learning but does not automatically count toward a USD master鈥檚 degree.
There are no application deadlines. Once enrolled, you have 180 days to complete the course at your own pace.
As a self-paced course, completion time varies based on your schedule. All assignments must be finished within 180 days from enrollment.
You can register by purchasing the course on this page. Early registration is recommended to secure your spot in the course.
Yes. Your instructor provides written feedback on assignments and final projects, and you can reach out to them any time with questions.
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Prospective students can request to be placed on a waitlist. Should a space open up in a course, those on the waitlist will be notified. We encourage you to register early for courses.
With hundreds of courses across a range of education-related topics, there鈥檚 a strong chance we have the ideal class for you!
Small class sizes with real-world educators are an important part of the USD experience.
Our educator courses offer flexible course formats and class times to help you balance your work, USD studies, and family life.