Dominant misconceptions and alluvial flows between Engineering and Physical Science students
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866912243219693568 |
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| author | Chrysostomou, Anna Cornell, Alan S. Naylor, Wade |
| author_facet | Chrysostomou, Anna Cornell, Alan S. Naylor, Wade |
| contents | In this article we assess the comprehension of physics concepts by Physical Science and Engineering students enrolled in their first semester at the University of Johannesburg (UJ), South Africa ($2022$). We employ different graphical measures to explore similarities and differences using the results of both pre- and post-test data from the Force Concept Inventory assessment tool, from which we calculate dominant misconceptions (DMs) and gains. We also use alluvial diagrams to track the choices made by these two groups of students from pre- to post-test stages. In our analysis, we find that DM results indicate that participating Engineering students outperformed Physical Science students on average, however, the same types of normalised DMs persist at the post-test level. We call these DMs "persistent misconceptions." This is very useful when tracking persistent misconceptions, where when using repeated measures and alluvial diagrams with smaller groups of students, we find that Physical Science students tend to make more chaotic choices. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_12083 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dominant misconceptions and alluvial flows between Engineering and Physical Science students Chrysostomou, Anna Cornell, Alan S. Naylor, Wade Physics Education Data Analysis, Statistics and Probability In this article we assess the comprehension of physics concepts by Physical Science and Engineering students enrolled in their first semester at the University of Johannesburg (UJ), South Africa ($2022$). We employ different graphical measures to explore similarities and differences using the results of both pre- and post-test data from the Force Concept Inventory assessment tool, from which we calculate dominant misconceptions (DMs) and gains. We also use alluvial diagrams to track the choices made by these two groups of students from pre- to post-test stages. In our analysis, we find that DM results indicate that participating Engineering students outperformed Physical Science students on average, however, the same types of normalised DMs persist at the post-test level. We call these DMs "persistent misconceptions." This is very useful when tracking persistent misconceptions, where when using repeated measures and alluvial diagrams with smaller groups of students, we find that Physical Science students tend to make more chaotic choices. |
| title | Dominant misconceptions and alluvial flows between Engineering and Physical Science students |
| topic | Physics Education Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2408.12083 |