Our Courses
Fundamental E-Learning Methods
Learn the basics on how to apply learning engineering guidelines in designing e-learning and how to use the “KLI” framework to choose instructional principles that match the desired knowledge components and learning processes.
Estimated time: 3 weeks, 6-8 hours/week Quantitative and Experimental Methods for Designing and Evaluating Learning
Learn to apply Quantitative CTA methods and Experimental design in a practical context and interpret the results to design effective learning experiences.
Estimated time: 3 weeks, 6-8 hours/week
Learn how to employ agile and iterative methodologies to design innovative e-learning online interactions and technology to make learning more effective and efficient.
Estimated time: 4 weeks, 6-8 hours/week 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.
Estimated time: 3 weeks, 6-8 hours/week E-Learning Principles & Techniques
Foster Active Learning
In this course, you will learn how to create effective, evidence-based instructional activities. Learn about the different types of active learning as well as when and how to use each type to foster optimal learning.
Estimated time: 2 weeks, 6-8 hours/week
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.
Estimated time: 3 weeks, 6-8 hours/week
Techniques for Active Enriched Learning
Learn about and how to apply the five techniques for enriching active learning used for creating effective, engaging instructional activities and learning experiences.
Estimated time: 3 weeks, 6-8 hours/week
Individualized Adaptive Learning
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.
Estimated time: 4 weeks, 6-8 hours/week
Example-tracing Tutors: Intelligent Tutor Development for Non-programmers (Coming soon!)
Learn how to create a novel type of tutor called example-tracing tutors, that can be built without programming using the Cognitive Tutor Authoring Tools (CTAT).
Estimated time: 2 weeks, 6-8 hours/week
Data-driven knowledge tracing to improve learning outcomes
Learn how to apply data-driven modeling to track students’ knowledge growth in advanced learning technologies and adapt the instructions based on that. Learn techniques to perform KC Modeling, Cognitive Task Analysis and Knowledge Tracing to do data-driven design.
Estimated time: 3 weeks, 6-8 hours/week
Learn how to develop rule-based cognitive models for creating Cognitive Tutors using the Cognitive Tutor Authoring Tools (CTAT).
Estimated time: 4 weeks, 6-8 hours/week Building Evidence-Based Educational Technology
Foundations for Online Tool Design
Learn practical skills for thinking about, building, and creating tools that improve learning on a large scale. These concepts will help you differentiate between tools as well as support your own design decisions when creating your own educational tools.
Estimated time: 3 weeks, 6-8 hours/week
Designing Online Collaboration Tools
Learn the practical skills and core principles necessary to design effective collaborative learning experiences for online learning. Understand the differences and when to apply peer learning and collaborative learning.
Estimated time: 3 weeks, 6-8 hours/week
Learn how to apply the principles most often used when designing, improving and evaluating tools for online learning while gaining a deep understanding why some tools are effective in helping people learn and others do not.
Estimated time: 3 weeks, 6-8 hours/week This course takes a practical approach to applying a small set of advanced techniques to use when designing, improving, or evaluating new tools for online learning.
Estimated time: 3 weeks, 6-8 hours/week Want to keep up to date on our courses with future announcements?