Study of Correlation: Science Process Skills and Persistence Character of Middle School Students Article Swipe
Harizon
,
Asrial Asrial
,
Haryanto Haryanto
,
Dwi Agus Kurniawan
,
Endah Febri Setiya Rini
,
Febri Tia Aldila
,
Riska Fitriani
,
Feliza Paramitha Sinaga
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.23887/mi.v29i1.68267
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.23887/mi.v29i1.68267
Science process skills are one of the important aspects of science learning. This research aims to analyze the relationship between science process skills and the character of students' persistence when following the learning process. This study uses Mix Methods research by combining quantitative and qualitative research. Data collection techniques in this study use the instrument of the scientific process skills observation sheet, the character questionnaire and interview sheet. The sampling technique in this study uses cluster random sampling. The sample in this study totalled 224 Student and Interviewer with 3 Natural Sciences teachers and students in each school. Data analysis techniques in this study use descriptive statistics and Pearson correlation tests for quantitative data and use the Miles and Huberman methods for qualitative data analysis. The results of this research are that the relationship between science process skills and students' persistence character at school is 0.784%. The conclusion of this research is that the average student's science process skills and persistence character are categorized as good and there is a relationship between science process skills and perseverance character. Recommendations for further research are to develop learning innovations that can be useful to improve the skills of science and perseverance of students in learning science.
Related Topics
Concepts
Character (mathematics)
Persistence (discontinuity)
Mathematics education
Psychology
Data collection
Process (computing)
Interview
Science learning
Cluster sampling
Qualitative property
Computer science
Science education
Statistics
Mathematics
Sociology
Engineering
Operating system
Anthropology
Geometry
Geotechnical engineering
Demography
Population
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.23887/mi.v29i1.68267
- https://ejournal.undiksha.ac.id/index.php/MI/article/download/68267/29388
- OA Status
- diamond
- Cited By
- 2
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399761844
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399761844Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.23887/mi.v29i1.68267Digital Object Identifier
- Title
-
Study of Correlation: Science Process Skills and Persistence Character of Middle School StudentsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-24Full publication date if available
- Authors
-
Harizon, Asrial Asrial, Haryanto Haryanto, Dwi Agus Kurniawan, Endah Febri Setiya Rini, Febri Tia Aldila, Riska Fitriani, Feliza Paramitha SinagaList of authors in order
- Landing page
-
https://doi.org/10.23887/mi.v29i1.68267Publisher landing page
- PDF URL
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https://ejournal.undiksha.ac.id/index.php/MI/article/download/68267/29388Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://ejournal.undiksha.ac.id/index.php/MI/article/download/68267/29388Direct OA link when available
- Concepts
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Character (mathematics), Persistence (discontinuity), Mathematics education, Psychology, Data collection, Process (computing), Interview, Science learning, Cluster sampling, Qualitative property, Computer science, Science education, Statistics, Mathematics, Sociology, Engineering, Operating system, Anthropology, Geometry, Geotechnical engineering, Demography, PopulationTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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