You are here

Does Echo360’s analytics predict relationships between student behaviours and learning in a large enrolment course in genetics?

The implementation of the Echo360 Active Learning Platform into the class component of a large enrolment undergraduate course in genetics has provided opportunities to redefine the classroom learning experience into an active learning zone. The goal of this investigation was to assess relationships between the student use of the features of the Echo360-ALP and performance on exams and learning gains. Best practices for teaching and learning using this platform based on the results of the investigation will also be discussed.

Abstract

The implementation of the Echo360 Active Learning Platform (Echo360-ALP) into the class component of a large enrolment undergraduate course in genetics has provided opportunities to redefine the classroom learning experience into an active learning zone. From this platform, students can navigate and annotate class notes to slides, flag content that confuses them to the professor, post questions/comments the professor and other students can answer, answer questions the professor asks in class (clicker questions), and view classroom captures following class.

Echo360-ALP learner and behavioural metrics were collected each time students accessed the features of the platform by logging-in to their personal accounts using a laptop computer or a mobile device connected to the internet prior, during, and after class. Whether the use of the various Echo360-ALP features positively impacts student learning was investigated. Correlations, linear and logistic regressions were used to assess relationships between Echo360-ALP learner metrics and student performance on exams and learning gains.

The results of the investigation suggest that the level of students’ engagement with the Echo360-ALP system can have impacts on their performance in the course. The degree and nature to which students use features of the Echo360-ALP in and out of the classroom may potentially predict how they will impact exam scores and learning gains in this course. Best practice approaches for teaching and learning using this platform based on the results of the investigation will also be discussed.