Grit or perseverance as a factor for student success and life has gained increasing attention. Statistical methods have been the norm in analyzing various aspects of grit, but they do not address the transient and dynamic behavior well. We, for the first time, developed two linear dynamical models that specifically address the feedback structure of a child’s desire to achieve a high grade point average (GPA) and the necessary effort that will increase stress between parents and a child. We call the dynamical model as GSES (Goal, Status, Effort & Stress). The two dynamical models incorporate the positive (i.e., achieving a high GPA) and the negative sides (i.e., effort and elevated stress and thus unhappiness) for being gritty or perseverant. Different types of parenting style and a child’s characteristics were simulated whether parents and a child are empathetic or stubborn to their expectations and stress (i.e., willing or unwilling to change). Simulations show that when both parents and a child are empathetic to each other’s expectation and stress, the most stable situations with minimal stress and effort occur. When a stubborn parent’s and a stubborn child were studied together, this resulted in the highest elevation of stress and effort. Stubborn parents and a complying or empathetic child resulted in considerably high stress to a child. Interference from parents may unexpectedly result in a situation in which a child’s stress is seriously elevated. The GSES model shows the U-shaped happiness curve (i.e., reciprocal of stress) caused by the increasing and then decreasing goal
목차
Abstract 1. INTRODUCTION 2. OBJECTIVES 3. GSES, A GENERIC MODEL OF GOAL, STATUS, EFFORT & STRESS IN LIFE 4. MATHEMATICAL MODELING 4.1 Dynamics of Goal, Status, Effort, and Stress of a Child (GSES_C) 4.2 Equations for GSES_C for a Child 4.3 Simulations of GSES_C 4.4 Parents Influence on a Child’s GPA and Stress 4.5 Dynamics of Expectation between a Child and Parents (GSES_PC) 4.6 Simulations of GSES_PC 4.7 U-Shaped Happiness Curve caused by the Increasing and then Decreasing Goals 5. DISCUSSION 5.1 Summary of Findings 5.2 Weakness 6. CONCLUSION REFERENCES
키워드
Mathematical ModelingGritGrade Point Average(GPA)U-shaped HappinessSystem Dynamics
저자
Sangdon Lee [ Principal AI/ML Data Scientist, System Dynamics Universal, U.S.A ]
Jungho Park [ Associate Professor, Department of Software Engineering, Seoul Digital University, Korea ]
Corresponding Author
국제문화기술진흥원 [The International Promotion Agency of Culture Technology]
설립연도
2009
분야
공학>공학일반
소개
본 진흥원은 문화기술(Culture Technology) 관련 산·학·연·관으로 구성된 비영리 단체이다. 문화기술(CT)은 정보통신기술(ICT), 문화적 사고 기반의 예술, 인문학, 디자인, 사회과학기술이 접목된 신융합기술(New Convergence Technology, NCT)로 정의한다. 인간의 삶의 질을 향상시키고, 진보된 방향으로 변화시키고, 문화기술 관련 분야의 학술 및 기술의 발전과 진흥에 공헌하기 위하여, 제3조의 필요한 사업을 행함을 그 목적으로 한다.
간행물
간행물명
International Journal of Advanced Culture Technology(IJACT)
간기
계간
pISSN
2288-7202
eISSN
2288-7318
수록기간
2013~2025
등재여부
KCI 등재
십진분류
KDC 600DDC 700
이 권호 내 다른 논문 / International Journal of Advanced Culture Technology(IJACT) Volume 11 Number 2