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Student Mining Using K-Means Clustering: A Basis for Improving Higher Education Marketing Strategies

Melanie Arpay
Psychology and Education: A Multidisciplinary Journal · 2023-09-27 · DOI 10.5281/zenodo.8383341
Token #2041
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #2041.
Token#2041 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0x8033a6dc8740cc7faa8d4800acc47828955634f22ebc69b30f8f9699d1433317 · block 12097718
Minted2026-10-01 18:25 UTC
Hash on chain0x2f67a6dcdb051e7c88332c674e5e5df38db4cfe70325d898dbf3760ed819e17b
SHA-256 of the record0x2f67a6dcdb051e7c88332c674e5e5df38db4cfe70325d898dbf3760ed819e17b
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Melanie Arpay 0xea048202…79E6f4 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 aims to enhance marketing strategies in higher education institutions by applying data mining techniques, specifically K-means clustering. The research focuses on Mindanao State University - Lanao del Norte Agricultural College (MSU-LNAC), a tertiary institution in Northern Mindanao, Philippines, with the objective of increasing enrollment. The study utilizes the K-means algorithm to group attributes into different clusters. The clustering analysis provides valuable insights into the characteristics and preferences of the surveyed student population. Based on the findings, recommendations are presented to guide targeted marketing efforts, such as geographic targeting, collaborations with senior high schools, financial assistance programs, and the development of marketing campaigns that emphasize the institution's strengths and advantages. By implementing these recommendations, MSU-LNAC can enhance its recruitment and marketing strategies to attract and retain students effectively.","abstract_source":"original","authors":["Melanie Arpay"],"date":"2023-09-27","doi":"10.5281/zenodo.8383341","id":2041,"issue":1,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"85ac9221bd58ed3fdcf7e195bc8dc4fe7f4f701f6d0636d110a7b9aa78b6a9a6","schema":"scimatic-article/1","title":"Student Mining Using K-Means Clustering: A Basis for Improving Higher Education Marketing Strategies","volume":14}

Check it yourself

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

printf '%s' "$(curl -s https://scimatic.org/nft/articles/2041.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(2041)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c29000000000000000000000000000000000000000000000000000000000000007f9"},"latest"]}'

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