Professional Courses in Learning Engineering
Self-Paced Certificate Courses
Learn from Carnegie Mellon’s leading researchers in learning analytics, curriculum design, and educational data mining.
Learn CTA methods such as Clark’s five steps of CTA via structured interview, principles of contextual inquiry, think aloud, and difficulty factor assessment (DFA). Learn to apply these methods in a practical context and interpret the results to design effective learning experiences.
Learn how to create advanced learning solutions and technologies that adapt to learners and provide individualized experiences that optimize learning. Take into account multiple psychological realms, such as combinations of knowledge, path through problem, and affect.
Learn how to to apply data-driven modeling to track students’ knowledge growth in advanced learning technologies and adapt the instructions based on that. Learn multiple techniques to perform KC Modeling, Cognitive Task Analysis and Knowledge Tracing to do data-driven design.
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