Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Computation | 3 |
Data Science | 3 |
Data Analysis | 2 |
Programming | 2 |
Acceleration (Education) | 1 |
Coding | 1 |
Curriculum Design | 1 |
Curriculum Development | 1 |
Curriculum Evaluation | 1 |
Epistemology | 1 |
Essays | 1 |
More ▼ |
Author
Alderson, David L. | 1 |
Kleinschmit, Stephen | 1 |
Malthe-Sørenssen, Anders | 1 |
Odden, Tor Ole B. | 1 |
Overton, Michael | 1 |
Silvia, Devin W. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Descriptive | 2 |
Reports - Research | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Audience
Location
California | 1 |
Scandinavia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Overton, Michael; Kleinschmit, Stephen – Teaching Public Administration, 2023
Mass adoption of advanced information technologies is fueling a need for public servants with the skills to manage data-driven public agencies. Public employees typically acquire data skills through graduate research methods courses, which focus primarily on research design and statistical analysis. What data skills are currently taught, and what…
Descriptors: Research Methodology, Data Science, Information Literacy, Masters Programs
Odden, Tor Ole B.; Silvia, Devin W.; Malthe-Sørenssen, Anders – Journal of Research in Science Teaching, 2023
This article reports on a study investigating how computational essays can be used to help students in higher education STEM take up disciplinary epistemic agency--cognitive control and responsibility over one's own learning within the scientific disciplines. Computational essays are a genre of scientific writing that combine live, executable…
Descriptors: Computation, Essays, Undergraduate Students, STEM Education
Alderson, David L. – INFORMS Transactions on Education, 2022
This article describes the motivation and design for introductory coursework in computation aimed at midcareer professionals who desire to work in data science and analytics but who have little or no background in programming. In particular, we describe how we use modern interactive computing platforms to accelerate the learning of our students…
Descriptors: Curriculum Design, Introductory Courses, Computation, Data Science