Research Summary: Engagement stability in online learning: can supporting attendance disrupt the Matthew effect?

Research in online learning indicates that sustained student engagement is a critical predictor of academic success. This study explored whether targeted interventions could mitigate the 'Matthew effect' in engagement, where prior participation strongly influences future participation. An experiment was conducted to assess if personalized feedback on attendance could enhance engagement and reduce disparities in an online learning environment. The findings confirmed the presence of a Matthew effect, where past engagement predicted subsequent participation.

Why it matters

Understanding the dynamics of student engagement, particularly the self-reinforcing 'Matthew effect,' is vital for designing effective online learning strategies. Addressing engagement disparities can lead to improved learning outcomes and resource utilization across educational and training programs. This has implications for program design, learner support systems, and the overall efficacy of digital education initiatives.

Key insights

• Student engagement is a crucial predictor of academic success in online learning environments.
• Prior engagement strongly predicts subsequent participation, aligning with a 'Matthew effect' pattern.
• The study investigated if personalized feedback on attendance could increase engagement and reduce disparities in online learning.
• One experimental group received personalized reports with attendance analytics, missed webinar lists, and recommendations for live sessions.
• A control group received no such support or intervention.

Source

Educational Technology Research and Development — https://link.springer.com/article/10.1007/s11423-026-10707-x