This paper applied LRL to help explain differences in schools' exclusionary discipline rates and was presented virtually. The iPoster was the third most popular of more than a thousand this year.

Bertoglio, K. C. (2025, April 23-27). Teacher Cognitive Load and Student Suspension: A Test of Load Reduction Leadership. Paper presented at the 2025 annual meeting of the American Educational Research Association. DOIs pending.

This paper explored some of the data from my dissertation with a focus on LRL's potential as a school improvement framework.

Bertoglio, K. C. (2024). Load reduction leadership: A novel school improvement framework based on cognitive load theory, early findings.  Paper presented at the 2024 annual meeting of the American Educational Research Association. Retrieved from the AERA Online Paper Repository. https://doi.org/10.3102/2108341

Kris's dissertation introduced LRL, using the framework to code public documents from schools with different longitudinal performance patterns. It found that a school's ratio of LRL-aligned to LRL-misaligned practices identified which schools did and did not consistently improve student proficiency. Changes in LRL alignment ratios coincided with changes in schools' capacity to improve student proficiency.

Between the two sites, my dissertation was downloaded ~200 times in the first 6 months. I don't know if that means anything, but I think it's neat.

Bertoglio, K. C. (2024). Load reduction leadership: A cognitive load theory-based framework differentiating performance patterns in NYC schools [Doctoral dissertation, City University of New York Hunter College]. ProQuest Dissertations & Theses. https://www.proquest.com/docview/3059220792 

Mirrored at: https://academicworks.cuny.edu/hc_sas_etds/1127