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AI-Supported Academic Performance Prediction Using Behavioral and Engagement Data

Said Nadeem
Journal of Unique and Crazy Ideas · 2026-04-12
Token #7576
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #7576.
Token#7576 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xfa308196c68af2f829d36bed84ec6f748ec39382b359a4162c299d25aae6f294 · block 12110437
Minted2026-10-02 12:05 UTC
Hash on chain0x8d0b693741ea27202043d9813265d33ce2f4655446e180c1ef3394cbde69190e
SHA-256 of the record0x8d0b693741ea27202043d9813265d33ce2f4655446e180c1ef3394cbde69190e
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Said Nadeem 0x75286a68…bEDc8A 900,000 900,000

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain. The abstract here is gemini generated, not the author's own text.

{"abstract":"This study proposes an AI-supported framework to predict student academic performance using behavioral and engagement data collected from digital learning platforms. The research aims to address the limitations of traditional evaluation methods by leveraging machine learning algorithms to analyze student interaction data, including LMS usage, assignment submissions, and attendance. The approach involves collecting and transforming this data into meaningful features, then applying various machine learning models such as Random Forest, Support Vector Machine, and Gradient Boosting. These models are evaluated using metrics like accuracy, precision, recall, and F1-score. The expected outcome is the early identification of at-risk students, enabling data-driven academic support strategies and improved overall student success rates.","abstract_source":"gemini_generated","authors":["Said Nadeem"],"date":"2026-04-12","doi":null,"id":7576,"issue":3,"journal":{"issn":"3150-0390","name":"Journal of Unique and Crazy Ideas"},"pdf_sha256":"c8f8ded7d18d96e7ce5abc17696cb8e6c983afbe6380e8f0d9165b72813be8bc","schema":"scimatic-article/1","title":"AI-Supported Academic Performance Prediction Using Behavioral and Engagement Data","volume":1}

Check it yourself

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

printf '%s' "$(curl -s https://scimatic.org/nft/articles/7576.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(7576)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000001d98"},"latest"]}'

The two must be equal (the second with a 0x in front).