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Predicting College Performance Among First-Year Education Students: A Cross-Sectional Analysis of Academic Achievement, Aptitude, and Entrance Examination Scores

Fatima Parreño
Psychology and Education: A Multidisciplinary Journal · 2026-05-24 · DOI 10.70838/pemj.561004
Token #7937
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #7937.
Token#7937 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xcf5379bb1ac7ea0cf903df845a8bbc7dc68c5ddc8120bcde8a4e050a613fb5a0 · block 12111218
Minted2026-10-02 13:10 UTC
Hash on chain0x3f6dafb0aa9137e2ca9cd262cf48866c6e6f0cc9df392f9c5046e15d492ad31b
SHA-256 of the record0x3f6dafb0aa9137e2ca9cd262cf48866c6e6f0cc9df392f9c5046e15d492ad31b
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Fatima Parreño 0x070Cd954…160Fca 900,000 900,000

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.

{"abstract":"This study examined the extent to which senior high school grades in Mathematics, English, and Science, together with aptitude test scores and college entrance examination results, predict the academic performance of first-year education students in a state university in Iloilo Province during the Academic Year 2024–2025. Employing a quantitative cross-sectional research design, the study utilized proportional stratified random sampling to select 177 first-year education students from five university campuses. Secondary data were obtained from institutional records, including senior high school grades, aptitude test scores, entrance examination results, and first-semester General Weighted Average (GWA). Descriptive statistics, Pearson’s correlation, multiple regression analysis, Structural Equation Modeling (SEM), and mediation analysis using Hayes’ PROCESS Macro were employed to analyze the data. Findings revealed that students demonstrated outstanding academic achievement in English and Science, and very satisfactory performance in Mathematics. However, aptitude and entrance examination scores reflected only moderate levels of performance. Correlation analysis indicated significant negative relationships between aptitude test scores and college GWA (r = −.412, p < .001) and between entrance examination scores and college GWA (r = −.398, p < .001), indicating that higher standardized test performance was associated with better academic achievement. Multiple regression analysis further revealed that Mathematics grades (β = −.241, p < .01), aptitude test scores (β = −.317, p < .001), and entrance examination scores (β = −.286, p < .01) significantly predicted college performance. Mediation analysis confirmed that aptitude and entrance examination scores partially mediated the relationship between senior high school grades and college GWA. Based on the findings, a Mathematics Enhancement Project (MEP) was proposed to strengthen students’ quantitative competencies and college readiness.","abstract_source":"original","authors":["Fatima Parreño"],"date":"2026-05-24","doi":"10.70838/pemj.561004","id":7937,"issue":10,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"51b3b426819d56336535321a6115b89318d14d83a8f7f0e9025db5639e8dc97c","schema":"scimatic-article/1","title":"Predicting College Performance Among First-Year Education Students: A Cross-Sectional Analysis of Academic Achievement, Aptitude, and Entrance Examination Scores","volume":56}

Check it yourself

1. The record, from the token's own metadata:

printf '%s' "$(curl -s https://scimatic.org/nft/articles/7937.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(7937)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000001f01"},"latest"]}'

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