Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Active Learning | 1 |
| Automation | 1 |
| Best Practices | 1 |
| Computation | 1 |
| Course Content | 1 |
| Course Objectives | 1 |
| Course Organization | 1 |
| Curriculum Design | 1 |
| Information Literacy | 1 |
| Large Group Instruction | 1 |
| Problem Solving | 1 |
| More ▼ | |
Source
| Journal of Statistics and… | 1 |
Author
| Donoghue, Thomas | 1 |
| Ellis, Shannon E. | 1 |
| Voytek, Bradley | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkDonoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
