Publication Date
In 2025 | 1 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 6 |
Descriptor
Data Science | 6 |
Visual Aids | 6 |
Class Activities | 3 |
Data Collection | 3 |
Data | 2 |
Data Processing | 2 |
Open Educational Resources | 2 |
Access to Information | 1 |
Bias | 1 |
Computer Science Education | 1 |
Curriculum Development | 1 |
More ▼ |
Source
Journal of Statistics and… | 2 |
Acta Didactica Napocensia | 1 |
Information and Learning… | 1 |
Journal of Information… | 1 |
TechTrends: Linking Research… | 1 |
Author
Andrew Kerr | 1 |
Bende, Imre | 1 |
Beth Chance | 1 |
Bingyi Su | 1 |
Cassandra Artman Collier | 1 |
Dogucu, Mine | 1 |
Hanwen Wang | 1 |
Jennifer Kahn | 1 |
Jett Palmer | 1 |
Johnson, Alicia A. | 1 |
Liwei Qing | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Descriptive | 3 |
Reports - Research | 3 |
Information Analyses | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
SeHee Jung; Hanwen Wang; Bingyi Su; Lu Lu; Liwei Qing; Xiaolei Fang; Xu Xu – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study presents a mobile application (app) that facilitates undergraduate students to learn data science using their own full-body motion data. The app captures a user's movements through the built-in camera of a mobile device and processes the images for data generation using BlazePose, an open-source computer vision model for real-time pose…
Descriptors: Undergraduate Students, Data Science, Handheld Devices, Open Source Technology
Cassandra Artman Collier – Journal of Information Systems Education, 2024
When we imagine the work of a data analyst, we often picture meaningful data analysis and beautiful data visualizations. Although that is an exciting part of the job, data analysts actually spend the majority of their time acquiring, cleaning, and preparing data for analysis. This teaching case guides students through some of the most common data…
Descriptors: Data Analysis, Visual Aids, Web Sites, Data Processing
Bende, Imre – Acta Didactica Napocensia, 2022
Understanding data structures is fundamental for mastering algorithms. In order to solve problems and tasks, students must be able to choose the most appropriate data structure in which the data is stored and that helps in the process of the solution. Of course, there is no single correct solution, but in many cases, it is an important step to…
Descriptors: Programming, Computer Science Education, Data, Visual Aids
Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
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
Jennifer Kahn; Shiyan Jiang – Information and Learning Sciences, 2024
Purpose: While designing personally meaningful activities with data technologies can support the development of data literacies, this paper aims to focuses on the overlooked aspect of how learners navigate tensions between personal experiences and data trends. Design/methodology/approach: The authors report on an analysis of three student cases…
Descriptors: Visual Aids, Trend Analysis, Data Science, Secondary School Students