Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Data Analysis | 2 |
| Data Science | 2 |
| Graduate Students | 2 |
| Statistics Education | 2 |
| Student Attitudes | 2 |
| Abstract Reasoning | 1 |
| Agricultural Education | 1 |
| Agriculture | 1 |
| Ambiguity (Semantics) | 1 |
| Genetics | 1 |
| Models | 1 |
| More ▼ | |
Author
| Ben-Zvi, Dani | 1 |
| Breno Fragomeni | 1 |
| Cedric Gondro | 1 |
| Gabriella Roby Dodd | 1 |
| Gafny, Ronit | 1 |
| Margaret Young | 1 |
| Tasia M.Taxis | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gabriella Roby Dodd; Cedric Gondro; Tasia M.Taxis; Margaret Young; Breno Fragomeni – NACTA Journal, 2024
The objectives of this study were to identify gaps in educational training for undergraduate and graduate students in agricultural data science, propose paths for filling these gaps, and provide an annotated list of resources currently available to different training levels. Data in this study was collected through three voluntary surveys catered…
Descriptors: Data Science, Statistics Education, Agriculture, Genetics
Gafny, Ronit; Ben-Zvi, Dani – Teaching Statistics: An International Journal for Teachers, 2023
In recent years, big data has become ubiquitous in our day-to-day lives. Therefore, it is imperative for educators to integrate nontraditional (big) data into statistics education to ensure that students are prepared for a big data reality. This study examined graduate students' expressions of uncertainty while engaging with traditional and…
Descriptors: Student Attitudes, Data Science, Data Analysis, Models

Peer reviewed
Direct link
