This course is designed to explore the various applications of artificial intelligence (AI) in supporting students and enhancing their engagement in learning activities. As AI technologies continue to evolve, they offer innovative solutions to address students' diverse needs, foster collaboration, and promote AI literacy for future-ready skills
Objectives:
Number or Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: This course provides continuing education for K-12 educators, instructional designers, education technologists,policymakers, and anyone interested in leveraging AI to enhance teaching and learning experiencess.
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.
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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.
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.
AI can analyze student performance data, identify learning gaps, and provide personalized resources to meet individual needs. It can also create interactive and engaging activities, promote collaboration, and help students develop critical thinking and problem-solving skills.
AI can provide personalized learning experiences for students with diverse learning needs, including language support, accessibility features, and differentiated instruction.
You will learn to:
This course is intended for K–12 educators, instructional designers, education technologists, policymakers, and anyone interested in using AI to enhance student support and engagement.
No prior AI experience is required, though completing Introduction to AI and Education is highly recommended for better context and understanding.
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.
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.
Assignments include a combination of written tasks, practical exercises applying AI tools to curriculum design, quizzes, blogs, and a final project or paper that synthesizes your learning into an AI-enhanced lesson plan or student support strategy for your classroom or educational environment.
This is a two-unit graduate-level extension credit course, which documents professional learning but does not automatically count toward a USD master’s 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.
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