A Data-Driven Approach to Quantify and Measure Students' Engagement in Synchronous Virtual Learning Environments.

Area of Science:

• Educational Technology
• Human-Computer Interaction

Background:

• Assessing student engagement is crucial for effective teaching, enabling instructors to adapt activities for optimal learning.
• Traditional face-to-face engagement cues are often obscured in synchronous virtual learning environments (VLEs) due to technical limitations like cameras and microphones being off.
• This necessitates new methods for gauging student involvement in online educational settings.

Purpose of the Study:

• To propose a novel methodology and model for quantifying student engagement in synchronous virtual learning environments (VLEs).
• To address the challenge of measuring student engagement when traditional observational methods are not feasible.
• To provide instructors with tools to better understand and maintain student connection in online learning.

Main Methods:

• A methodology was developed based on the systematic analysis of over 30 types of digital interactions and events within VLEs.
• A software prototype was implemented to operationalize the proposed methodology.
• The prototype was validated by measuring student engagement during a masterclass and a hands-on session in a synchronous learning context.

Main Results:

• The study successfully demonstrated the feasibility of measuring student engagement through digital interaction analysis in VLEs.
• The implemented software prototype provided quantifiable metrics for student engagement during different online learning activities.
• The results offer a foundation for developing more sophisticated tools to support online pedagogy.

Conclusions:

• The proposed methodology offers a viable approach to measuring student engagement in synchronous virtual learning environments (VLEs).
• Analyzing digital interactions can compensate for the lack of traditional engagement cues in online settings.
• This research aims to re-establish the instructor-student connection often diminished in virtual learning environments.