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Build expertise in learning engineering


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Carnegie Mellon University
The Leader in Learning Engineering 

What is Learning Engineering?

Learn from the world’s leading researchers in learning analytics, curriculum design, and educational data mining in the Human-Computer Interaction Institute and the Psychology Department.

Learn in a cohort

Take courses together with people like you. Learn together and from each other. All courses start the first Monday of the month and include regular deadlines to keep you on track.

Deliver exceptional educational experiences

Create evidence-based solutions that are not only desirable and engaging, but also enhance learning.

Apply & adapt learning science principles

Identify opportunities for course improvement and adapt learning science principles to your needs.

Employ data driven continuous improvement

Apply educational data mining to evaluate and improve educational solutions.

A Growing Set of Expertise

Our education program consists of a growing list of short courses (from three to four weeks) as well as full semester courses. These courses are described below and are ideal for industry professionals and executives in instructional design, learning science, and data science.

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Certificate Courses Available Now*

All courses start the first Monday of the month and include regular deadlines to keep you on track as well as a week-long final project.

Evidence-Based Backward Design

Learn how to employ agile and iterative methodologies to design innovative e-learning online interactions and technology to make learning more effective and efficient.

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UX Design for Effective Instruction

Learn about and how to apply the six multimedia principles key to designing effective, engaging digital instructional activities and learning experiences whether it is a video, presentation, or a fully online course.

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Foster Active Learning

How do you know that the chosen instruction method is effective? Is there a method of instruction that would be best for a certain type of material?

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Uncovering Implicit Knowledge with Cognitive Task Analysis (CTA)

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.

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Introduction to Personalized Online Learning

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.

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*Certificate courses are not for university credit and do not convert into university credit.

Custom training

Businesses looking to upskill their employees on the latest learning engineering and instructional design skills can reach out to us for one-on-one consultation meetings and more information.

Learning Engineering 

from the Leader in Learning Engineering