A hybrid course on assessment: Using Canvas and Data Analytics to respond to and understand the needs of a diverse student population

TitleA hybrid course on assessment: Using Canvas and Data Analytics to respond to and understand the needs of a diverse student population
Faculty/College/UnitEducation
StatusActive
Duration1 Year
Initiation04/01/2020
Project Summary

Classroom Assessment is a required course for all students in the BEd program. This course is especially challenging as it is delivered to a very diverse group of students with different needs, in a compressed time frame at a stressful time in student’s program. This innovative project aims to transform the course by creating a hybrid online/on-campus version that allows choice in learning activities. Thereby providing future teachers the ability to tailor the content to the subject areas that they will teach, while still providing the foundational assessment principles that are common across fields (e.g., providing transparent assessment criteria, instructive feedback, etc.). The hybrid course will provide personalized learning experiences and thus reduce stress, as well as create data about students through the use of Learning Analytics (LA), the LA data will help us continue improving the course and make it responsive to the diverse needs of students.

Funding Details
Year 1: Project YearYear 1
Year 1: Funding Year2020/2021
Year 1: Project TypeSmall TLEF
Year 1: Principal InvestigatorShawna Faber
Year 1: Funded Amount22,927
Year 1: Team Members

Shawna Faber, Instructor, Educational and Counselling Psychology, and Special Education, Faculty of Education
Louai Rahal, PhD Candidate, Educational and Counselling Psychology, and Special Education, Faculty of Education