NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Online Project-Based Learning to Foster Students' Course Choices in Data Science: A Longitudinal Case Study Using Sankey Visualization
Peer reviewed Peer reviewed
Direct linkDirect link
Daniela Castellanos-Reyes; Tom R. Leppard – International Journal of Educational Technology in Higher Education, 2025
Career choices are shaped by students' experiences, knowledge, and skill sets across time, reflecting not only disciplinary interests but also exposure to evolving fields such as data science (DSC). Despite a surge in interest and enrollment in data science degrees, the United States faces a growing demand for data literacy across multiple…
Descriptors: Active Learning, Student Projects, Electronic Learning, Enrollment
Using Competition to Improve Students' Learning in a Project-Based Learning Course: The Systemic Impacts of the Data Science Olympics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Joao Alberto Arantes do Amaral; Izabel Patricia Meister; Valeria Sperduti Lima; Gisele Grinevicius Garbe – Journal of Problem Based Learning in Higher Education, 2023
In this article, we presented our findings regarding an online project-based learning course, delivered to 64 students from the Federal University of Sao Paulo, Brazil, during the COVID-19 pandemic, in the second semester of 2021. The course had the goal of teaching Project Management by means of a competition (the Data Science Olympics). Our goal…
Descriptors: Competition, Active Learning, Student Projects, Data Science
Fostering the Development of Earth Data Science Skills in a Diverse Community of Online Learners: A Case Study of the Earth Data Science Corps
Peer reviewed Peer reviewed
Direct linkDirect link
Nathan A. Quarderer; Leah Wasser; Anne U. Gold; Patricia Montaño; Lauren Herwehe; Katherine Halama; Emily Biggane; Jessica Logan; David Parr; Sylvia Brady; James Sanovia; Charles Jason Tinant; Elisha Yellow Thunder; Justina White Eyes; LaShell Poor Bear/Bagola; Madison Phelps; Trey Orion Phelps; Brett Alberts; Michela Johnson; Nathan Korinek; William Travis; Naomi Jacquez; Kaiea Rohlehr; Emily Ward; Elsa Culler; R. Chelsea Nagy; Jennifer Balch – Journal of Statistics and Data Science Education, 2025
Today's data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science. These skills are imperative to harness information contained in a growing volume of complex data to solve the world's most pressing environmental challenges. Despite the importance of these skills, Earth and…
Descriptors: Electronic Learning, Earth Science, Environmental Education, Science Education