The Academic Performance of Grade 10 Mathematics Learners Exposed to Hybrid Learning and Printed Modular Distance Learning in San Andres District, Schools Division of Quezon

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{"abstract":"This study aimed to analyze the academic performance of the Grade 10 Mathematics learners exposed to Hybrid Learning and Printed Modular Distance Learning Modality in San Andres District, Schools Division of Quezon during the School Year 2021-2022. To determine which of the following modalities seem effective in increasing the academic performance of the learners in mathematics, this employed a comparative quantitative research design covering the participation of 72 learners exposed to hybrid learning and 176 learners exposed to printed modular distance learning. The result of the pretest and post test and the second quarterly grades, and the learning gains of the Grade 10 Mathematics learners exposed to hybrid learning and printed modular distance learning were analyzed to determine if there is a significant difference in the academic performance before and after the implementation of the mentioned modalities. Data gathered were analyzed using percentage and mean to evaluate the frequency distributions of the academic performance and learning gains, as well as T-test for dependent and independent variables to find the significant difference of the academic performance, and learning gains of Grade 10 Mathematics learners exposed to hybrid learning and printed modular distance learning","abstract_source":"original","authors":["Renante Camay"],"date":"2022-08-19","doi":"10.5281/zenodo.7011316","id":513,"issue":9,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"2dc96d1ff6b720e7b2ac468d3259da3cb150051b8f5c67af2b5b219938dd55c3","schema":"scimatic-article/1","title":"The Academic Performance of Grade 10 Mathematics Learners Exposed to Hybrid Learning and Printed Modular Distance Learning in San Andres District, Schools Division of Quezon","volume":3}

Check it yourself

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

printf '%s' "$(curl -s https://scimatic.org/nft/articles/513.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(513)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000000201"},"latest"]}'

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