Course Overview

Course Description

This course examines advanced topics in instructional design, including needs assessment, learner characteristics, alignment of learning objectives, instructional strategies, and formative and summative assessments. Students engage with generative AI tools as professional design partners to support instructional ideation, scenario development, and activity design, while learning to critically evaluate AI-generated outputs using evidence from learning science. Students will explore critical theories of learning and motivation and the ethical responsibility of instructional designers to analyze and dispel common myths and misapplication of these concepts, including those that may be introduced or amplified by AI systems. The course emphasizes the application of sound design principles to plan, design, evaluate, and refine inclusive learning experiences that are grounded in research and responsive to real-world contexts.

Prerequisites: LDT 500A & LDT 500B

 

Student Comments

The weekly assignments built on one another, coalescing into an effective practice-run for ID jobs.
-Spring 2022 Student

I thought the selection of required reading was incredibly effective at deepening my expertise in the various aspects of Learning Theory that were introduced in LDT500A.
-Spring 2022 Student

The Design Blueprint assignment gave me the opportunity to work with a real organization on a real problem, which was quite helpful in seeing how these principles apply practically.
-Spring 2022 Student

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