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Students’ Engagement with Artificial Intelligence, Metacognitive Reading Strategies, and Academic Achievement: A Correlational Study of Grade 12 STEM Learners in Valencia, Bukidnon

Philip Brillo, Jenyliza Ucang
Psychology and Education: A Multidisciplinary Journal · 2026-10-10 · DOI 10.70838/PEMJ.631002
Token #11034
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Token#11034 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xb5d990a4fec60c67024da2e1e83ead68b1023f0d2fa4dbcc4a30a0fa38835261 · block 12240181
Minted2026-10-10 15:02 UTC
Hash on chain0xdbb22b3dddc427ba270124b6f6540d4356935877041a893083114edbef7ad795
SHA-256 of the record0xdbb22b3dddc427ba270124b6f6540d4356935877041a893083114edbef7ad795
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HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Philip Brillo 0xcD17CA97…7Fc2f5 450,000 450,000
Jenyliza Ucang 0x863dC52e…3ce836 450,000 450,000

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{"abstract":"The rapid adoption of artificial intelligence (AI) in education raises questions about how AI use interacts with students’ metacognitive reading strategies and academic performance. This descriptive-correlational study examined relationships among engagement with AI tools (EAIT), metacognitive awareness of reading strategies (MARS), and academic achievement (AA) for 155 Grade 12 STEM students at Valencia National High School, Valencia, Bukidnon. Respondents completed validated survey instruments; data were analyzed using descriptive statistics, Pearson correlation, and multiple regression. Results indicated high EAIT (M = 3.65) and MARS (M = 4.24) levels, with outstanding AA (M = 94, SD = 1.77). Correlational analysis showed a significant positive relationship between EAIT and MARS (r = .322, p = .001) and between MARS and AA (r = .233, p = .003), whereas EAIT and AA were not significantly correlated (r = −.115, p = .152). Regression results revealed that behavioral engagement with AI negatively predicted academic achievement (B = –0.494, p = 0.017), whereas awareness of global reading strategies positively predicted achievement (B = 0.782, p = 0.002); the model accounted for 8.0% of the variance (R² = 0.080, F = 6.616, p = 0.002). These findings highlight the predictive relevance of how students engage with AI and apply metacognitive reading strategies to academic achievement, with higher behavioral AI engagement associated with lower predicted achievement and higher global reading-strategy awareness with higher predicted achievement. Educators should scaffold strategic, self-regulated use of AI in reading instruction to promote goal-setting, monitoring, and evaluation to support comprehension and academic outcomes.","abstract_source":"original","authors":["Philip Brillo","Jenyliza Ucang"],"date":"2026-10-10","doi":"10.70838/PEMJ.631002","id":11034,"issue":10,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"938fdac8284edc42c1e60b4a9b769fe8e0ce56eda07ba8b8d524d144fe5f108f","schema":"scimatic-article/1","title":"Students’ Engagement with Artificial Intelligence, Metacognitive Reading Strategies, and Academic Achievement: A Correlational Study of Grade 12 STEM Learners in Valencia, Bukidnon","volume":63}

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