The Instructional Design team provides services to help faculty design quality face-to-face, blended, or online courses or programs. Whether developing a new course or program, transitioning courses ...

Our team partners with individual instructors, departments, and groups to apply evidence-based practices in the design and development of learner-centered educational experiences across all modalities ...

The Instructional Design for e-Learning certificate program prepares students to apply the principles, theories, models, tools, and techniques of systematic instructional design in diverse e-Learning ...

Earn an IDT Master of Science degree in 30 semester hours! The Master of Science program in Instructional Design and Technology (IDT) prepares students to assess, design, develop, and evaluate ...

For example, the ability to understand the individual through empirical research and empathic engagement will make the design of instructional technology not only technically proficient but ...

Our Instructional Design for Language Teachers course is designed for anyone teaching at a language school who needs to develop online materials for courses. You could be a teacher or a member of ...

The M.S. in Instructional Design and Development program prepares students to effectively design, develop, and evaluate learning in a variety of environments such as healthcare, business, government, ...

This is achieved by providing an appropriate amount of instructional support based on student needs and context complexity. As students grow as learners, scaffolding can be changed, reduced or removed ...

Similar coursework and learning objectives are featured in master’s degree programs for instructional design, learning design, instructional systems and learning technologies. Whatever they are ...

Examples: Canvas course management, quiz and exam administration, design of learning modules, and learning objectives. Learn more about support and training for Canvas. For learning management and ...

The Bottom Line Probability distribution functions (PDFs) describe the expected values of random variables drawn from a sample. The shape of the PDF explains how likely it is that an observed ...