Research Dashboard
EdTech Fatigue Dissertation — Costa (2026) — District-Level View
Research Participants
3,492
5 schools, 28 weeks
Events Logged
184K
platform interactions
Fatigue Alerts
47
students flagged this year
District GAR
+1.1
avg growth above replacement
Dissertation Summary
Title: "Mastery as Motivation: Examining EdTech Fatigue Reduction Through Bifurcated Learning Incentive Architecture in Secondary ELA Classrooms"
Research Question: Does a bifurcated platform model (mastery-as-toll, studio-as-reward) reduce EdTech Fatigue Index compared to traditional linear LMS models, while maintaining or improving academic outcomes as measured by GAR scores?
Hypotheses Status
Key Preliminary Findings
Studio-access days reduce fatigue index by avg 18 pts vs mastery-only days
Streak preservation is strongest engagement driver (38% of avoidance events)
Teacher AI adoption moderates student fatigue but effect size is small (d=0.31)
No habituation effect found - fatigue persists without design interventions