Date of Award
Spring 5-9-2025
Degree Type
Thesis
Degree Name
Master of Science in Interdisciplinary Studies (MSIS)
Department
Computer Science
Committee Chair
Joel Graff
Abstract
This project investigates the multifaceted role of heart rate variability (HRV) as both a physiological and cognitive marker of human performance, with particular emphasis on its implications for academic preparation and decision- making. Drawing from recent literature, I examine the influence of exercise, sleep quality, stress management, and slow-paced breathing on HRV, highlighting its predictive value for executive function, emotional regulation, and adaptive decision-making. Additionally, the paper introduces a conceptual framework for an educational application that leverages HRV monitoring and breathing interventions such as, resonance breathing to enhance study effectiveness. Additionally, the application will feature a supplemental website to reinforce the importance of heart rate variability. The integration of large language models (LLMs) via LangChain architecture is proposed as a scalable solution for generating adaptive Medical College Admission Test (MCAT) study content6 reinforcing HRV' s potential as a bridge between cognitive optimization and personalized learning systems.
Recommended Citation
Vasquez, Richard, "DESIGNING AND MCAT STUDY APP THAT UPDATES AUTOMATICALLY AND INCLUDES A NOVEL GOAL OF OPTOMIZING A USER'S MENTAL HEALTH" (2025). Graduate Theses & Non-Theses. 357.
https://digitalcommons.mtech.edu/grad_rsch/357