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Socioeconomic Factors Influencing Learning Engagement Among Grade 10 Learners in Selected Public High Schools

Alexies Malinao, Yeselucio Patriarca
Psychology and Education: A Multidisciplinary Journal · 2026-08-10 · DOI 10.70838/pemj.610310
Token #9076
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Token#9076 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xaff4e68e678aa955142d1e479206971d640fbf4d221a84b2347c6cc22ca49655 · block 12112658
Minted2026-10-02 15:10 UTC
Hash on chain0x6c66fe29a9bbd0eb25da431a2c6dc5a05bcd7cd887222bcbc9be491169b05266
SHA-256 of the record0x6c66fe29a9bbd0eb25da431a2c6dc5a05bcd7cd887222bcbc9be491169b05266
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Alexies Malinao 0x9222b43B…A8939A 450,000 450,000
Yeselucio Patriarca 0xA81b7a54…1De843 450,000 450,000

The anchored record

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{"abstract":"This study investigates the extent to which socio-economic determinants shape learning engagement among Junior High School learners, situating the analysis within Bronfenbrenner’s Ecological Systems Theory. Employing a quantitative, comparative cross-sectional design, data were collected from Grade 10 students using validated survey instruments capturing five socio-economic variables (family income, parental education, access to resources, home environment, and community/peer influence) and five engagement domains (behavioral, emotional, cognitive, social, and agentic). Descriptive and inferential analyses, including multiple linear regression, were conducted at a 0.05 significance level. Findings indicate consistently high engagement levels, with home environment (M = 3.74, SD = 0.52) and family income (M = 3.45, SD = 0.55) perceived as supportive factors. However, regression results demonstrate that community and peer influence exerts the most substantial effect on engagement (β = 0.356, p < 0.001), followed by home environment (β = 0.212, p = 0.003) and parental education (β = 0.167, p = 0.010). The model explains 35.8% of the variance (R² = 0.358), indicating a moderate explanatory power. Notably, family income and access to resources were not significant predictors, suggesting that relational and environmental dynamics outweigh purely economic factors. These findings advance the discourse on educational engagement by emphasizing the primacy of social ecosystems over material conditions.","abstract_source":"original","authors":["Alexies Malinao","Yeselucio Patriarca"],"date":"2026-08-10","doi":"10.70838/pemj.610310","id":9076,"issue":3,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"aca5b45b7be60e00a3d9fc160a012fe0169a84ddbed6e5b8a5252054aba854b7","schema":"scimatic-article/1","title":"Socioeconomic Factors Influencing Learning Engagement Among Grade 10 Learners in Selected Public High Schools","volume":61}

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printf '%s' "$(curl -s https://scimatic.org/nft/articles/9076.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(9076)):

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  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000002374"},"latest"]}'

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