@article{4789,
  author = {Maleerat Maliyaem},
  title = {Exercise, Sleep, Nutrition, and Digital Behavior as Predictors of Cognitive Engagement and Learning Effectiveness: A Neuroplasticity-based Analytical Framework},
  journal = {Journal of Intelligent Computing},
  year = {2026},
  volume = {17},
  number = {3},
  doi = {https://doi.org/10.6025/jic/2026/17/3/99-121},
  url = {https://www.dline.info/jic/fulltext/v17n3/jicv17n3_1.pdf},
  abstract = {This study investigates the dynamic interactions between lifestyle behaviors, specifically exercise, sleep,
and nutrition, and digital habits, including screen time and sedentary behavior, to determine their impact on
cognitive engagement and learning effectiveness through a neuroplasticity based framework. Analyzing a
dataset of 212 participants, the research employed a comprehensive multivariate approach, including
Exploratory Factor Analysis, Principal Component Analysis, ordinal logistic regression, K means clustering,
and Structural Equation Modeling. The factor analyses revealed a robust six-dimensional neuroplasticity
structure encompassing cognitive engagement, physical activity, sleep, nutrition, digital distraction, and
learning effectiveness. Regression and correlation results demonstrated that exercise, sleep quality, and
nutrition are significant positive predictors of learning outcomes, whereas excessive screen time exerts a
detrimental effect. Furthermore, cluster analysis identified four distinct behavioral profiles, notably the
Healthy Neuroplasticity and Digitally Distracted groups, highlighting significant population heterogeneity.
Crucially, Structural Equation Modeling confirmed that cognitive engagement acts as a central mediating
mechanism, translating positive lifestyle habits into enhanced educational outcomes while digital distractions
disrupt this pathway. These findings validate a multidimensional neuroplasticity model, emphasizing that
cognitive resilience and academic success are deeply rooted in holistic lifestyle practices. The study show
the necessity of integrating neurobiological principles into modern educational technologies and cognitive
rehabilitation programs to foster adaptive, personalized learning environments that mitigate digital fatigue
and promote optimal cognitive development across diverse student populations.},
}