מידע ביבליוגרפי
| כותר: |
Culturally Relevant Data in Teaching Statistics and Data Science Courses |
| Authors: |
Travis Weiland, Immanuel Williams |
| Source: |
Journal of Statistics and Data Science Education, Vol 32, Iss 3, Pp 256-271 (2024) |
| Publisher Information: |
Taylor & Francis Group, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Probabilities. Mathematical statistics
LCC:Special aspects of education |
| Subject Terms: |
Culturally relevant pedagogy, Culturally responsive teaching, Data science education, Statistics education, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691 |
| תיאור: |
In this article, we consider how to make data more meaningful to students through the choice of data and the activities we use them in drawing upon students lived experiences more in the teaching of statistics and data science courses. In translating scholarship around culturally relevant pedagogy from the fields of education and mathematics education we develop the idea of culturally relevant data. We see this development as a key ingredient to implementing culturally relevant pedagogy in teaching data-intensive courses leveraging the centrality of context through data in both statistics and data science to engage students particularly from historically marginalized groups in STEM. We provide suggestions as to ways of finding or creating culturally relevant data and using them in implementing culturally relevant pedagogy to support the learning and flourishing of students in statistics and data science courses. We also present findings from pilot work we have done in implementing these data in statistics courses. Finally, we discuss lingering questions and possible next steps for research in this area. Supplementary materials for this article are available online. |
| Document Type: |
article |
| File Description: |
electronic resource |
| שפה: |
English |
| ISSN: |
26939169
2693-9169 |
| Relation: |
https://doaj.org/toc/2693-9169 |
| DOI: |
10.1080/26939169.2023.2249969 |
| Access URL: |
https://doaj.org/article/e7e1ed5f7461458398d0a046d1d957be |
| Accession Number: |
edsdoj.7e1ed5f7461458398d0a046d1d957be |
| Database: |
Directory of Open Access Journals |