Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science |
| Συγγραφείς: |
Jo Boaler, Kira Conte, Ken Cor, Jack A. Dieckmann, Tanya LaMar, Jesse Ramirez, Megan Selbach-Allen |
| Πηγή: |
Journal of Statistics and Data Science Education, Vol 33, Iss 1, Pp 26-45 (2025) |
| Στοιχεία εκδότη: |
Taylor & Francis Group, 2025. |
| Έτος έκδοσης: |
2025 |
| Συλλογή: |
LCC:Probabilities. Mathematical statistics
LCC:Special aspects of education |
| Θεματικοί όροι: |
Data science education, Math pathways, Mixed methods, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691 |
| Περιγραφή: |
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. |
| Τύπος εγγράφου: |
article |
| Περιγραφή αρχείου: |
electronic resource |
| Γλώσσα: |
English |
| ISSN: |
26939169
2693-9169 |
| Relation: |
https://doaj.org/toc/2693-9169 |
| DOI: |
10.1080/26939169.2024.2333735 |
| Σύνδεσμος πρόσβασης: |
https://doaj.org/article/e521c65eac264cecb15cc45097f3af23 |
| Αριθμός Καταχώρησης: |
edsdoj.521c65eac264cecb15cc45097f3af23 |
| Βάση Δεδομένων: |
Directory of Open Access Journals |