{"id":19469,"date":"2025-09-10T12:07:53","date_gmt":"2025-09-10T16:07:53","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ExecEd\/?post_type=course&p=19469"},"modified":"2026-02-11T11:05:41","modified_gmt":"2026-02-11T16:05:41","slug":"leveling-up-level-1","status":"publish","type":"course","link":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/leveling-up-level-1\/","title":{"rendered":"Leveling Up Your Teaching Practice with AI – Level 1 – Foundations of AI"},"content":{"rendered":"\n
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Leveling Up Your Teaching Practice with AI – Level 1 – Foundations of AI<\/h1>\n\n\n\n

Start Date: February 3, 2026
End Date: March 20, 2026<\/p>\n\n\n\n

Registration closed: Next course date will shared soon!<\/strong><\/p>\n\n\n

For K\u201312 educators: Foundational concepts, ethical considerations, and classroom-ready strategies for using generative AI.<\/p>\n\n\n

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Request Info<\/a>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

5 synchronous hours + 10 asynchronous hours<\/p>\n\n\n\n

Upon successful completion, you will receive 1 Continuing Professional Development (CPD) credit<\/strong>, approved by the Maryland State Department of Education.<\/p>\n<\/div>\n\n\n\n

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<\/rect><\/g><\/path><\/g><\/polygon><\/polygon><\/polygon><\/g><\/svg><\/span>Artificial Intelligence<\/span><\/span><\/p>\n\n\n<\/div>\n\n\n\n

<\/title><\/path><\/path><\/path><\/circle><\/svg><\/span>Online Live<\/span>,
Online Self-Paced<\/span><\/span><\/p>\n\n\n\n
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Instructors:
James Diamond, William Gray-Roncal<\/a><\/p>\n\n\n\n

Live session 1: Tuesday, Feb 3, 2026
<\/strong>6 to 7:30 p.m. ET<\/p>\n\n\n\n

Live session 2: Tuesday, Feb 24, 2026
<\/strong>6 to 7:30 p.m. ET<\/p>\n\n\n\n

Live session 3: Tuesday, March 17, 2026
<\/strong>5:30 to 7:30 p.m. ET<\/p>\n<\/div>\n\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<\/div>\n\n\n

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Through hands-on practice and guided reflection, participants will learn how to responsibly use generative AI to create differentiated instructional materials and support student engagement. The course emphasizes ethical and equitable practice, with participants producing a ready-to-implement resource and a Reflective Application Portfolio that documents their learning.<\/p>\n\n\n\n

This course is distinctive because it combines authentic research-informed pedagogy with hands-on practice, giving teachers both theoretical grounding and practical classroom-ready strategies. Led jointly by an education researcher and a research engineer, the course uniquely balances equity-centered pedagogy with technical depth and real-world implementation experience. Participants leave with concrete artifacts and a Reflective Application Portfolio that showcases not only their learning, but also their ability to apply AI responsibly and ethically in their own classrooms.<\/p>\n<\/div>\n\n\n\n

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Knowledge and Skills<\/strong><\/h3>\n\n\n\n