Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science
This article reports on a multi-method study of a high school course in data science, finding that students who take data science take more mathematics courses than those who do not, there are more under-represented students in data science than is typical for other advanced mathematics courses; tha...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-01-01
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| Series: | Journal of Statistics and Data Science Education |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/26939169.2024.2333735 |
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| author | Jo Boaler Kira Conte Ken Cor Jack A. Dieckmann Tanya LaMar Jesse Ramirez Megan Selbach-Allen |
| author_facet | Jo Boaler Kira Conte Ken Cor Jack A. Dieckmann Tanya LaMar Jesse Ramirez Megan Selbach-Allen |
| author_sort | Jo Boaler |
| collection | DOAJ |
| description | This article reports on a multi-method study of a high school course in data science, finding that students who take data science take more mathematics courses than those who do not, there are more under-represented students in data science than is typical for other advanced mathematics courses; that the students who take data science are more positive about a future in STEM and they tend to be older. Analysis of writing from the students shows that students are very positive about the course, appreciating the relevance of the content, the opportunity to investigate ideas, the chance to learn challenging, applied content, and the opportunity to think creatively. In an assessment of data and functions given to students in data science and Algebra 2 courses, the students in data science scored at significantly higher levels. |
| format | Article |
| id | doaj-art-e521c65eac264cecb15cc45097f3af23 |
| institution | DOAJ |
| issn | 2693-9169 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Statistics and Data Science Education |
| spelling | doaj-art-e521c65eac264cecb15cc45097f3af232025-08-20T02:49:40ZengTaylor & Francis GroupJournal of Statistics and Data Science Education2693-91692025-01-01331264510.1080/26939169.2024.2333735Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data ScienceJo Boaler0Kira Conte1Ken Cor2Jack A. Dieckmann3Tanya LaMar4Jesse Ramirez5Megan Selbach-Allen6Graduate School of Education, Stanford University, Stanford, CAGraduate School of Education, Stanford University, Stanford, CAUniversity of Alberta, Edmonton, AB, CanadaGraduate School of Education, Stanford University, Stanford, CAGraduate School of Education, Stanford University, Stanford, CAGraduate School of Education, Stanford University, Stanford, CAGraduate School of Education, Stanford University, Stanford, CAThis article reports on a multi-method study of a high school course in data science, finding that students who take data science take more mathematics courses than those who do not, there are more under-represented students in data science than is typical for other advanced mathematics courses; that the students who take data science are more positive about a future in STEM and they tend to be older. Analysis of writing from the students shows that students are very positive about the course, appreciating the relevance of the content, the opportunity to investigate ideas, the chance to learn challenging, applied content, and the opportunity to think creatively. In an assessment of data and functions given to students in data science and Algebra 2 courses, the students in data science scored at significantly higher levels.https://www.tandfonline.com/doi/10.1080/26939169.2024.2333735Data science educationMath pathwaysMixed methods |
| spellingShingle | Jo Boaler Kira Conte Ken Cor Jack A. Dieckmann Tanya LaMar Jesse Ramirez Megan Selbach-Allen Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science Journal of Statistics and Data Science Education Data science education Math pathways Mixed methods |
| title | Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science |
| title_full | Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science |
| title_fullStr | Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science |
| title_full_unstemmed | Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science |
| title_short | Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science |
| title_sort | studying the opportunities provided by an applied high school mathematics course explorations in data science |
| topic | Data science education Math pathways Mixed methods |
| url | https://www.tandfonline.com/doi/10.1080/26939169.2024.2333735 |
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