This course explores the innovative integration of artificial intelligence (AI) technologies in the modern classroom environment. Educators will learn about the new pedagogy of an AI-integrated classroom. Through hands-on activities, educators will gain practical skills in designing and implementing AI-driven educational strategies tailored to diverse learning needs. Additionally, societal and ethical considerations, privacy concerns, and equity implications associated with AI integration in classrooms will be critically examined. Educators will design, adapt, and retool current curriculums to promote the responsible and transparent use of AI to support all learners. Educators will develop a comprehensive lesson utilizing AI to utilize in their classroom.
Objectives:
Number or Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: This course provides continuing education for education professionals that are interested in leveraging AI to enhance teaching and learning experiences. This includes K-12 educators, instructional designers, educational technologists, and policymakers.
Required Materials:
Technical Requirements
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 ³Ô¹ÏÍ·Ìõ911’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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³Ô¹ÏÍ·Ìõ911 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 ³Ô¹ÏÍ·Ìõ911:
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.
An AI-integrated classroom uses artificial intelligence tools to enhance teaching and learning. AI technologies such as intelligent tutoring systems, chatbots, and adaptive learning platforms support personalized instruction, streamline administrative tasks, and provide data-driven insights to improve student engagement and outcomes.
AI can analyze student data and curriculum effectiveness to suggest learning pathways, generate content ideas, and provide recommendations for differentiated instruction. This allows educators to create more targeted, engaging, and effective lessons.
Yes. AI tools can adapt content to suit various learning styles and levels, provide personalized feedback, and offer assistive technologies to support students with disabilities or unique learning requirements.
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 prior AI experience is required. This course introduces the fundamentals of AI in education, guiding you through practical applications and providing hands-on experience with AI tools to help you confidently implement them in the classroom.
You will learn to:
This course is designed for K–12 educators, instructional designers, educational technologists, and policymakers who are interested in leveraging AI to enhance teaching and learning experiences.
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.
There are no prerequisites.
Assignments in this course include written tasks, quizzes, practical activities, and exercise that explore AI tools and strategies for classroom use. The course culminates in a final project in which you will design a lesson plan incorporating AI.
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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