Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Data Science | 3 |
Research Methodology | 3 |
Ethics | 2 |
Ambiguity (Context) | 1 |
Bias | 1 |
Cooperative Learning | 1 |
Critical Literacy | 1 |
Curriculum Design | 1 |
Data Analysis | 1 |
Data Collection | 1 |
Discourse Analysis | 1 |
More ▼ |
Author
Atenas, Javiera | 1 |
Havemann, Leo | 1 |
Mark Selkrig | 1 |
Noll, Jennifer | 1 |
Robyn Brandenburg | 1 |
Ron Keamy | 1 |
Sharon McDonough | 1 |
Tackett, Maria | 1 |
Timmermann, Cristian | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Information Analyses | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sharon McDonough; Ron Keamy; Robyn Brandenburg; Mark Selkrig – Asia-Pacific Journal of Teacher Education, 2024
The field of teacher education is subject to intense scrutiny and policy reform and within this context, the voices of those working within the field are often marginalised. Drawing on our larger study of teacher educators, we addressed the key research question: "How do those who work in the field of teacher education articulate and…
Descriptors: Teacher Educators, Educational Practices, Preservice Teacher Education, Data Science
Atenas, Javiera; Havemann, Leo; Timmermann, Cristian – International Journal of Educational Technology in Higher Education, 2023
This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research…
Descriptors: Critical Literacy, Data Analysis, Ethics, Research Methodology
Noll, Jennifer; Tackett, Maria – Teaching Statistics: An International Journal for Teachers, 2023
As the field of data science evolves with advancing technology and methods for working with data, so do the opportunities for re-conceptualizing how we teach undergraduate statistics and data science courses for majors and non-majors alike. In this paper, we focus on three crucial components for this re-conceptualization: Developing research…
Descriptors: Undergraduate Students, Statistics Education, Data Science, Teaching Methods