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Predicting Data Science Programming Performance: Using Fair ML to detect Bias
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| Published in: | Smart Learning Environments |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030192775725060 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Smart Learning Environments |
| description | |
| discipline_display | Education |
| discipline_facet | Education |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:39705 |
| institution | FRELIP |
| journal_source_facet | Smart Learning Environments |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Predicting Data Science Programming Performance: Using Fair ML to detect Bias — — — — — Distance Education and eLearning Educational Technology Education |
| sub_discipline_display | Educational Technology |
| sub_discipline_facet | Educational Technology |
| subject_display | — — — — — Distance Education and eLearning Educational Technology Education — — — — — Distance Education and eLearning Educational Technology Education |
| subject_facet | — — — — — Distance Education and eLearning Educational Technology Education |
| title | Predicting Data Science Programming Performance: Using Fair ML to detect Bias |
| title_auth | Predicting Data Science Programming Performance: Using Fair ML to detect Bias |
| title_full | Predicting Data Science Programming Performance: Using Fair ML to detect Bias |
| title_fullStr | Predicting Data Science Programming Performance: Using Fair ML to detect Bias |
| title_full_unstemmed | Predicting Data Science Programming Performance: Using Fair ML to detect Bias |
| title_short | Predicting Data Science Programming Performance: Using Fair ML to detect Bias |
| title_sort | predicting data science programming performance: using fair ml to detect bias |
| topic | — — — — — Distance Education and eLearning Educational Technology Education |
| url | https://link.springer.com/article/10.1186/s40561-026-00436-2 |