Article: EXPLORING THE RELATIONSHIP BETWEEN NEUROPSYCHOLOGICAL BIOMARKERS AND LEARNING PACE: A COMPARATIVE STUDY OF SLOW AND FAST LEARNERS INTEGRATING AYURVEDA COGNITIVE DOMAINS

Article Category: Original Research articles

DOI: 10.7897/2277-4343.165173

Pages: 72-79

Author: Pavneet Kaur *, Nithin Krishnan R

Abstract: Background: In Ayurveda, Manas (mind) governs cognition by transmitting sensory input from Gyanindriyas (sense organs) to the brain, comparable to afferent neural transmission in modern neuroscience. Ayurveda cognitive domains Chintyam (deliberative thinking), Vicharyam (critical examination), Uhhyam (inferential-predictive thinking), Dhyeyam (focused contemplation), Sankalpyam (decision making), and Buddhi Pravartate (higher intellect) offer a distinctive view of mental functions. Objective: To examine the relationship among cognitive function, perceived stress, and learning pace among undergraduates using neuropsychological tools and Ayurveda Variables. Methods: This cross-sectional observational study included 17 students aged 18–25. Learners were categorized as fast or slow based on Periodic assessments PA1 and PA3. Cognitive function was measured using the Mini-Mental State Examination (MMSE), and stress levels with the Perceived Stress Scale (PSS-10). Data were analysed using Jamovi 2.6.2. Results: Fast learners showed higher MMSE scores than slow learners, with a large effect size (Cohen’s d = 0.95), though not statistically significant (p = 0.174), likely due to the small sample size. PSS scores differed minimally (Cohen’s d = 0.29, p = 0.572). A significant association was found between lower MMSE scores and slower learning pace (p < 0.001). No correlation was noted between MMSE and PSS-10 (r = 0.015, p = 0.954), suggesting stress did not influence the cognition learning link. Discussion: Cognitive function appears more closely linked to learning pace than stress. Integrating Ayurveda cognitive domains with neuropsychological tools offers a culturally relevant framework for future educational research.

Keyword: Cognitive domains, MMSE, PSS-10, Learning Efficiency