Factors Affecting the Academic Performance of Grade 11 TVL Students in Online Learning: Inputs for an Intervention Program

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

{"abstract":"The purpose of this study was to determine the factors affecting the academic performance of Grade 11 TVL students during online learning at Judge Feliciano Belmonte Senior High School, District 2, Division of Quezon City during the school year 2020-2021 which served as the basis in proposing an intervention program.The present study used the quantitative descriptive research method. 151 Grade 11 students enrolled in the academic school year 2020-2021 in Technical Vocational Track, 151 Grade 11 parents or guardians, and 12 Technical Vocational teachers were the respondents of the study. The learner-based factors such as environment and home support, students’ interest, and gadget used, and internet connection affect the academic performance in online learning of Grade 11 TVL students to a moderate extent. Meanwhile, the teacher-based factors such as teacher competency, monitoring, and coaching as well as the school-based factors such as learning materials, information dissemination, and school administrators’ support affect the academic performance in online learning of the students to a high extent. Furthermore, it was found out that there was a significant relationship between the academic performance of the students and the learner-based factors, teacher-based factors and school-based factors.","abstract_source":"original","authors":["Melodia Darantinao"],"date":"2023-08-05","doi":"10.5281/zenodo.8217624","id":1740,"issue":8,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"92860672561528ae32350d8f91cc061ee9dcf75e1b353220a68e0c5560a8962c","schema":"scimatic-article/1","title":"Factors Affecting the Academic Performance of Grade 11 TVL Students in Online Learning: Inputs for an Intervention Program","volume":11}

Check it yourself

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

printf '%s' "$(curl -s https://scimatic.org/nft/articles/1740.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(1740)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c29000000000000000000000000000000000000000000000000000000000000006cc"},"latest"]}'

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