
Rural students face unique educational challenges affecting their transition to tertiary education. This descriptive-correlational study examined whether Senior High School STEM academic performance correlates with college readiness among 80 rural graduates from Bato, Leyte who enrolled in STEM undergraduate programs in 2025. Using a validated 20-item assessment based on Conley's framework, the study measured readiness across content knowledge, cognitive strategies, academic behaviors, and contextual skills and awareness. Despite high academic achievement (M = 91.4%, SD = 2.78), graduates reported moderate readiness (M = 74.4/100), with notable gaps in content knowledge (M = 17.5/25) and cognitive strategies (M = 17.7/25). Pearson correlation revealed significant positive relationships between GWA and all readiness dimensions (r = .373 to .465, p < .001), though academic performance explained only 21.6% of readiness variance. These findings suggest that while STEM performance contributes meaningfully to undergraduate program readiness, substantial additional factors influence readiness outcomes. The study provides empirical evidence for policy refinement and targeted interventions to strengthen rural STEM education effectiveness in the Philippines.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
