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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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The Validity E-Module Science based on Computational Thinking Approach to Improve Logical Thinking Skills

Authors: Andi Ichsan Mahardika; Rizky Pamuji; Nelly Rima Santeri; Trisena Wulandari;

The Validity E-Module Science based on Computational Thinking Approach to Improve Logical Thinking Skills

Abstract

This study aims to produce a Computational Thinking-based Science e-module to improve students'logical thinking skills. This development research uses the ADDIE development model, including Analysis, Design, Development, Implementation, and Evaluation. Data collection uses e-module validation instruments, teacher and student response questionnaires, and logical thinking ability tests. The results of the study show that the IPA e-module based on computational thinking is valid, because the e-module validation results meet the valid requirements. Thinking computation-based science e-modules are practical because the teacher and student response questionnaires are in the very practical category. In addition, the logical thinking ability test instrument is effective because: (1) students' logical thinking skills in limited trials and large-scale trials usually increase, while the n-gain values in limited trials and large-scale trials are respectively 0, 73 and 0.77 with the high category. Thus the thinking computation-based science e-module which is developed is feasible to improve logical thinking skills in science learning. Keywords:- Creative Problem Solving, Newton's laws on Gravity, Problem-Solving Skills, Teaching Materials.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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