Impact of learning analytics-based personalized feedback: an experimental study on student behavior in a large introductory STEM course

A study in a large introductory STEM course investigated the impact of personalized feedback derived from learning analytics on student engagement. Students receiving tailored feedback based on their homework and practice problem engagement showed increased participation in these targeted behaviors compared to a control group receiving generic feedback. However, no significant differences were observed in overall learning outcomes or student perceptions of the feedback between the groups.

This research highlights the potential of data-driven personalized interventions to modify specific behaviors within educational or training contexts. While it demonstrates efficacy in behavioral change, it also indicates that such interventions do not automatically translate into improved overall performance or user perception, underscoring the complexity of educational impact.

Personalized feedback, based on learning analytics of engagement with homework and practice problems, led to greater student engagement in those specific behaviors.

Forward consideration, not a verified fact.