Teachers’ Demographic Profile and Learning Resource Management Skills

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The anchored record

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

{"abstract":"The study determined the teachers’ demographic profile and learning resource management skills among the 125 elementary teachers of District II in the Division of Valencia City. Mainly, it determined the elementary school teachers’ demographic profile in terms of age, sex, position, length of service, highest educational attainment, level of learning resource management skills, and the significant difference in the participants’ learning resource management skills when grouped according to demographics. This study used the quantitative correlation method as the research design. Furthermore, the study adopted a survey questionnaire to measure the participant's level of learning resource management skills. Statistical tools such as frequency, percentage, mean, standard deviation, and regression analysis were used to interpret the data gathered. The study results revealed that most respondents are 31 to 40 years old, primarily females, hold Teacher I-III positions, have been in the teaching profession for less than ten years, and have bachelor’s degree holders. Furthermore, elementary teachers have a very high level of resource management skills, particularly in aligning learning resources with learning competencies, using digital tools, and promoting critical thinking skills in designing the materials. Lastly, the study confirmed that the participants' learning resource management skills were at the same level when grouped according to demographics.","abstract_source":"original","authors":["Ruby Remo","Anjero Marcia"],"date":"2025-03-29","doi":"10.70838/pemj.340606","id":4788,"issue":6,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"f3883141862e09b91dda0683745bca2ba2173a6a30030f39c477f0fe5b5f02a2","schema":"scimatic-article/1","title":"Teachers’ Demographic Profile and Learning Resource Management Skills","volume":34}

Check it yourself

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

printf '%s' "$(curl -s https://scimatic.org/nft/articles/4788.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(4788)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c29000000000000000000000000000000000000000000000000000000000000012b4"},"latest"]}'

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