Over the years, while implementing and supporting online learning environments, I have observed a significant correlation between well-being and engagement in learning.
Systems that provide engagement metrics offer added value, serving as indicators of students' well-being. When multiple learning systems are considered, they can help eliminate bias, ensuring that low engagement cannot be solely attributed to specific learning preferences, subpar technology, or any other factors. This observation is reinforced during students' at-risk meetings, where students at risk consistently exhibit lower engagement in online learning systems compared to their non-at-risk peers.
The creation of a standardized metric system that consolidates this data into a portal would provide teachers, guidance counselors, and well-being practitioners with early warnings regarding potentially at-risk students. Imagine a portal that takes into account student attendance, changes in report card performance, and online learning engagement data. Such a portal would play a central role in monitoring those who may be at risk.
To the best of my knowledge, there is limited research that directly links metrics from learning apps to well-being. However, there is a body of research focusing on engagement and educational practices, often referred to as "Engaged Learning Pedagogy." An older article titled Linking Engaged Learning and Well-Being: A Review of the Literature by Lynn E. Swaner (2007) emphasizes the importance of shifting engaged pedagogy to the forefront of educational practice. The author notes that students who become disengaged from their learning may also experience negative effects on their emotional health and well-being. It's worth mentioning that this research predates the widespread use of online learning apps, highlighting the need to include metrics from online learning applications in the equation.
Additionally, the use of a dashboard or portal could support more recent research in this area. Such a portal, connecting online learning engagement data, would further validate recent research findings. For instance, it could support the work of the University of British Columbia in 2016 regarding models for identifying when students are holistically supported and verifying the effectiveness of the connection between teaching practices and well-being.
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