Introduction to Learning Engineering Series
Course Descriptions
Learning Engineering, pioneered by Herb Simon at Carnegie Mellon University, blends science and technology to optimize learning outcomes, improving effectiveness and efficiency. This interdisciplinary field integrates insights from learning sciences, instructional design, data analytics, and technology to develop learning solutions.
Throughout the courses in this sequence, you’ll delve into essential concepts and processes at the heart of Learning Engineering, building a foundational understanding.
| Duration | Designed for | Cost |
|---|---|---|
| 3-5 hours per course (9-12 hours for the series) |
|
Free to Fellows in the program |
E-Learning Foundational Theories and Practices
In this course, you will examine the core principles of e-learning, comparing them to traditional methods, identifying benefits and challenges, classifying formats, and adapting course designs to meet training goals and learner needs. You will also explore how people learn, focusing on human cognition, learning processes, key principles, and the cognitive theory of multimedia learning, providing insights into effective instructional design for all educators.
Designing Clear Learning Goals
This course focuses on designing learning objectives that enhance student learning outcomes. Participants will learn how to create student-centered objectives that are observable, measurable, and aligned with both assessment and instructional strategies. We will be using the KLI framework, applying Bloom’s Taxonomy and the ABCD method to develop clear and actionable learning objectives. By the end of the course, participants will be equipped with practical skills to design learning objectives that promote meaningful learning experiences.
Designing Assessments for Learning
Throughout this course, we will delve into the intricacies of effective assessments, exploring various types and their significance. You will gain insights into different question formats, learn how to design assessments that align with learning objectives, and understand the importance of incorporating feedback and hints into question design. Additionally, we will cover methods for evaluating the effectiveness of assessment questions.