Development and Validation of a Science Workbook for Grade 10 Students and Analysis of Least Mastered Skills

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{"abstract":"Science education provides skills in critical thinking, problem-solving, and scientific literacy; however, most Grade 10 learners find it challenging to acquire important science competencies, leading to poor academic performance. This study applied a combination of mixed-methods research using an explanatory sequential approach and the one-group pretest–posttest design to determine the effectiveness of the science workbook in enhancing the performance of students. A sample size of 124 Grade 10 learners participated in the research. Data analysis for quantitative data was done using the mean, mean percentage score (MPS), and paired-samples t-test, while analysis of qualitative data collected through interviews used Braun and Clarke's six-step thematic analysis technique, with Otter.ai used for transcribing the interview responses. Pre-intervention, the MPS for the students was 57.34%, which is Approaching Proficiency, while that of the posttest was 81.80%, which is Moving Toward Mastery. There were statistically significant gains in all the competencies tested (p < .05). From the qualitative data analysis, it is clear that the workbook helped learners in developing conceptual understanding and science knowledge. The study thus recommends incorporating scaffolding, context-based, and interactive learning approaches in science instruction.","abstract_source":"original","authors":["Marinel del Mundo","Jacquilyn Sales"],"date":"2026-10-11","doi":"10.70838/PEMJ.640205","id":11057,"issue":2,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"ccf2fdd01a04f6ce6165b89ac23d2e9469ebd65ee3714f689666a60d9ef8697b","schema":"scimatic-article/1","title":"Development and Validation of a Science Workbook for Grade 10 Students and Analysis of Least Mastered Skills","volume":64}

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

printf '%s' "$(curl -s https://scimatic.org/nft/articles/11057.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(11057)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000002b31"},"latest"]}'

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