Forecasting Methods in Science Education: A Bibliometric Analysis Using the Scopus Database Article Swipe
Suhendar Suhendar
,
Ari Widodo
,
Rini Solihat
,
R Riandi
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.18502/kss.v9i19.16535
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.18502/kss.v9i19.16535
This study utilizes a detailed bibliometric analysis to thoroughly explore the literature surrounding forecasting methods and models in science education. It highlights significant trends, applications, and impacts of these methodologies. Leveraging data from the Scopus database pinpoints essential themes and notable gaps within the current body of work. The research underscores the importance of integrating forecasting techniques across various scientific disciplines and applying these techniques to address real-world challenges in education. This comprehensive analysis is intended to contribute richly to academic dialogue and guide the development of future educational strategies and policies. By identifying and discussing these key elements, the study aims to enhance understanding and implementing forecasting methods in academic settings, ultimately influencing both practice and theory in science education. Keywords: forecasting methods, science education, bibliometric
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18502/kss.v9i19.16535
- https://knepublishing.com/index.php/KnE-Social/article/view/16535/26368
- OA Status
- diamond
- Cited By
- 1
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400333956
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4400333956Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18502/kss.v9i19.16535Digital Object Identifier
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Forecasting Methods in Science Education: A Bibliometric Analysis Using the Scopus DatabaseWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-07-03Full publication date if available
- Authors
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Suhendar Suhendar, Ari Widodo, Rini Solihat, R RiandiList of authors in order
- Landing page
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https://doi.org/10.18502/kss.v9i19.16535Publisher landing page
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https://knepublishing.com/index.php/KnE-Social/article/view/16535/26368Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://knepublishing.com/index.php/KnE-Social/article/view/16535/26368Direct OA link when available
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Scopus, Data science, Computer science, Web of science, Work (physics), Management science, Higher education, Knowledge management, Engineering ethics, Political science, Engineering, MEDLINE, Law, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.research | 49 |
| abstract_inverted_index.utilizes | 2 |
| abstract_inverted_index.Keywords: | 121 |
| abstract_inverted_index.elements, | 98 |
| abstract_inverted_index.essential | 37 |
| abstract_inverted_index.pinpoints | 36 |
| abstract_inverted_index.policies. | 91 |
| abstract_inverted_index.settings, | 111 |
| abstract_inverted_index.Leveraging | 30 |
| abstract_inverted_index.challenges | 68 |
| abstract_inverted_index.contribute | 77 |
| abstract_inverted_index.discussing | 95 |
| abstract_inverted_index.education, | 125 |
| abstract_inverted_index.education. | 19, 70, 120 |
| abstract_inverted_index.highlights | 21 |
| abstract_inverted_index.importance | 52 |
| abstract_inverted_index.literature | 11 |
| abstract_inverted_index.real-world | 67 |
| abstract_inverted_index.scientific | 59 |
| abstract_inverted_index.strategies | 89 |
| abstract_inverted_index.techniques | 56, 64 |
| abstract_inverted_index.thoroughly | 8 |
| abstract_inverted_index.ultimately | 112 |
| abstract_inverted_index.development | 85 |
| abstract_inverted_index.disciplines | 60 |
| abstract_inverted_index.educational | 88 |
| abstract_inverted_index.forecasting | 13, 55, 107, 122 |
| abstract_inverted_index.identifying | 93 |
| abstract_inverted_index.influencing | 113 |
| abstract_inverted_index.integrating | 54 |
| abstract_inverted_index.significant | 22 |
| abstract_inverted_index.surrounding | 12 |
| abstract_inverted_index.underscores | 50 |
| abstract_inverted_index.bibliometric | 5, 126 |
| abstract_inverted_index.implementing | 106 |
| abstract_inverted_index.applications, | 24 |
| abstract_inverted_index.comprehensive | 72 |
| abstract_inverted_index.understanding | 104 |
| abstract_inverted_index.methodologies. | 29 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.47999998927116394 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.74554667 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |