Academic Grit, Interest, and Technological Attitudes as Predictors of Learners' Performance
John Michael F. Verson | Joel D. Potane
Discipline: Education
Abstract:
As learning environments continue to evolve, it is essential to understand the psychosocial and
technological factors that influence learners’ academic success. This study examined the predictive roles of
academic grit, academic interest, and technological attitudes on learners’ performance in General
Mathematics among 104 randomly selected Grade 11 STEM and ABM learners in a public school in Misamis
Oriental. Using a descriptive-correlational design and both descriptive and inferential analyses, results
revealed that learners demonstrated high levels of academic grit (M = 4.11, SD = 0.46) and positive
technological attitudes (M = 3.98, SD = 0.53). In contrast, their academic interest was moderate (M = 3.42, SD
= 0.51). Regression analysis revealed that academic grit (B = 0.247, p = .005) and technological attitude (B =
0.220, p = .020) were significant predictors of learners' mathematics performance, collectively explaining 9.8%
of the variance (adjusted R2 = 0.098). Conversely, academic interest did not significantly predict performance
(p > .05). The findings suggest that perseverance and adaptability to digital tools contribute more strongly
to academic achievement than interest alone. Hence, interventions that foster grit and promote purposeful
technology integration may enhance learners’ mathematical proficiency and overall academic resilience.
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