Students’ Understanding of Solving a System of Linear Equations Using Matrix Methods: A Case Study Article Swipe
YOU?
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· 2018
· Open Access
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· DOI: https://doi.org/10.31901/24566322.2018/21.1-3.774
In recent years, a large number of studies have highlighted the importance and benefits of technologybased assessment.The goals of this study were (1) to examine the feasibility and reliability of technology-based assessment in Namibia; and (2) to assess students' abilities and the development of their inductive reasoning skills, comparing it with data from a small Chinese sample (N=50; 27 boys; 23 girls) using the same instrument as an indicative benchmark.The data collection was conducted in Oshana region, Namibia (N=621; 268 boys; 348 girls).Both the Namibian and the Chinese participants' average age was 12 years.The Rasch model was used for scaling the data and analysis.The reliabilities of the test proved to be high (Cronbach's α: .846).Namibian students performed significantly lower (M=-1.38,SD=.84) in the test compared to the benchmark sample (M=2.17,SD=.83).The results also suggest that technology-based assessment is feasible and reliable in Oshana region and indicated that students from Namibia do not have explicit inductive reasoning training in this age-range at school.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.31901/24566322.2018/21.1-3.774
- OA Status
- diamond
- Cited By
- 4
- References
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W2900307639Canonical identifier for this work in OpenAlex
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https://doi.org/10.31901/24566322.2018/21.1-3.774Digital Object Identifier
- Title
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Students’ Understanding of Solving a System of Linear Equations Using Matrix Methods: A Case StudyWork title
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articleOpenAlex work type
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enPrimary language
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2018Year of publication
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2018-04-01Full publication date if available
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Aneshkumar MaharajList of authors in order
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https://doi.org/10.31901/24566322.2018/21.1-3.774Publisher landing page
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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://doi.org/10.31901/24566322.2018/21.1-3.774Direct OA link when available
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Rasch model, Cronbach's alpha, Benchmark (surveying), Reliability (semiconductor), Test (biology), Data collection, Sample (material), Psychology, Mathematics education, Statistics, Mathematics, Developmental psychology, Psychometrics, Geography, Chemistry, Quantum mechanics, Paleontology, Power (physics), Geodesy, Physics, Chromatography, BiologyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2024: 1, 2023: 1, 2021: 2Per-year citation counts (last 5 years)
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15Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.development | 42 |
| abstract_inverted_index.feasibility | 26 |
| abstract_inverted_index.girls).Both | 82 |
| abstract_inverted_index.highlighted | 9 |
| abstract_inverted_index.reliability | 28 |
| abstract_inverted_index.analysis.The | 103 |
| abstract_inverted_index.benchmark.The | 69 |
| abstract_inverted_index.participants' | 88 |
| abstract_inverted_index.reliabilities | 104 |
| abstract_inverted_index.significantly | 117 |
| abstract_inverted_index..846).Namibian | 114 |
| abstract_inverted_index.assessment.The | 16 |
| abstract_inverted_index.technologybased | 15 |
| abstract_inverted_index.(M=-1.38,SD=.84) | 119 |
| abstract_inverted_index.technology-based | 30, 133 |
| abstract_inverted_index.(M=2.17,SD=.83).The | 128 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5053044896 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile.value | 0.72699946 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |