More than 30% of identified at-risk students visited previously unengaged learning activities within two weeks of the relational feedback email¶

Claim · All claims
Evidence · 1 study · causal r1 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? After receiving the feedback email listing their unvisited learning activities, more than 30% of identified at-risk students visited previously unengaged activities within two weeks. → Wei Dai 2025

Evidence¶

Wei Dai 2025¶

Wei Dai, Jionghao Lin, Flora Ji-Yoon Jin, Yi-Shan Tsai, Namrata Srivastava, Pierre Le Bodic, Dragan Gašević, and Guanliang Chen. (2025). Learning Analytics for Early Identification of At-Risk Students and Feedback Intervention. Journal of Learning Analytics, 12(3), 102–125. https://doi.org/10.18608/jla.2025.8735

q2 · i? · causal · r1

Pre–post behavioural engagement analysis comparing at-risk students' visits to the activities listed in their feedback emails before, one week after, and two weeks after the week-5 and week-8 interventions, using Ed platform trace data. The article reports "more than 30% of the identified at-risk students visited previously unengaged learning activities"; no effect size is printed.

"more than 30% of the identified at-risk students visited previously unengaged learning activities within two weeks following the intervention"

Discussion¶

Related Claims¶

• AI-powered predictive analytics improves academic performance by enabling early identification of at-risk students and timely intervention — the general claim this finding bears on, with the studies behind it
• At-risk students reported general satisfaction with the relational feedback intervention, and most respondents preferred it more frequently than twice per semester — related