Analytics in Course Design: Leveraging Canvas Data (HE)

Self-paced

Enroll

Course Date:

Open

Duration:

Ongoing

Commitment:

6 hours

Requirement:

None

Course Type:

Self-paced

Credential:

Badge

Description

This course contains four modules that each apply different aspects of Canvas Data to Canvas course design. They include:

Course Engagements: Leverage the student Access Report to analyze course content engagements.
Course Content Design: Explore the usage of Canvas course features and the organization of course navigation items to categorize Canvas course design strategies.
Assignment Submissions: Examine assignment and quiz submission data using an analytical approach.
Discussion Interactions: Analyze student participation using Canvas discussion data to help faculty understand how students interacted with their peers in Canvas discussion forums and whether they were actively engaged in discussions.

Objectives

Faculty and instructional designers will explore Canvas Data and visualization techniques to make informed decisions about Canvas course design.

Course is offered by Dartmouth College.

Course Instructors

Jing Qi, EdD

Learning Analytic and LMS Specialist

Dr. Jing Qi serves as the LMS and Learning Analytic Specialist at Dartmouth College. She holds a bachelor's degree in Computer Science, and a doctorate degree in education. Using her solid background in computer science, extensive experience in educational data mining, and strong interest in data visualization, she integrates the core elements of learning analytics and instructional technology in the exploration of Analytics in Instructional Design.

Brian Reid, PhD

Instructor

Dr. Brian Reid works as an Associate Director of Information Technology at Dartmouth's Geisel School of Medicine where he supports curricular applications. With a background in chemistry and educational technology, he has been creating data visualizations for three decades. Dr. Reid has written software to animate molecular motion, visualize mathematical models, plot biological and geological data, and simulate lab experiments. His most recent efforts have focused on visualizing curricular data at the Geisel School of Medicine.

Full course description