NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Alexis Henshaw – Journal of Political Science Education, 2024
Some in our discipline have recently voiced the opinion that political science is a data science. What follows from this argument is that we as instructors are training the next generation of data scientists, especially professionals and researchers who will work with big data. This paper explores the implications for political science education,…
Descriptors: Political Science, Data Science, Data Analysis, Role of Education
Peer reviewed Peer reviewed
Direct linkDirect link
Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2024
The development of data science curricula has gained attention in academia and industry. Yet, less is known about the pedagogical practices and tools employed in data science education. Through a systematic literature review, we summarize prior pedagogical practices and tools used in data science initiatives at the higher education level.…
Descriptors: Data Science, Teaching Methods, Literature Reviews, Curriculum Development
Peer reviewed Peer reviewed
Direct linkDirect link
Wole Michael Olatokun; Oluyemi Folorunso Ayanbode; Sunday Oluwadare Oladipo – Education and Information Technologies, 2025
This study examined the data science career preference, data science skills, and core competencies of 416 students from fourteen Nigerian universities using a Google Forms-created structured online questionnaire. A convenience sampling technique was adopted to select the participants. Data were analysed using both descriptive and inferential…
Descriptors: Data Science, Preferences, College Students, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Dogucu, Mine; Johnson, Alicia A.; Ott, Miles – Journal of Statistics and Data Science Education, 2023
Despite rapid growth in the data science workforce, people of color, women, those with disabilities, and others remain underrepresented in, underserved by, and sometimes excluded from the field. This pattern prevents equal opportunities for individuals, while also creating products and policies that perpetuate inequality. Thus, it is critical…
Descriptors: Access to Information, Inclusion, Instructional Materials, Statistics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Helmbrecht, Hawley; Nance, Elizabeth – Chemical Engineering Education, 2022
Tutorials for EXperimentalisT Interactive LEarning (TEXTILE) is an interactive semi-linear module-based curriculum for training students at various educational levels on data science methodologies currently utilized by research laboratories. We show how we developed our eleven module TEXTILE program to train 15 students from high school,…
Descriptors: Data Science, Methods, Science Laboratories, High School Students