Publication Date
| In 2024 | 0 |
| Since 2023 | 0 |
| Since 2020 (last 5 years) | 2 |
| Since 2015 (last 10 years) | 2 |
| Since 2005 (last 20 years) | 2 |
Descriptor
| Secondary School Students | 2 |
| Artificial Intelligence | 1 |
| Computation | 1 |
| Computer Software | 1 |
| Data Analysis | 1 |
| Data Use | 1 |
| Decision Making | 1 |
| Educational Research | 1 |
| Educational Technology | 1 |
| Electronic Learning | 1 |
| Essays | 1 |
| More ▼ | |
Author
| Biehler, Rolf | 2 |
| Fleischer, Yannik | 2 |
| Schulte, Carsten | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Secondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBiehler, Rolf; Fleischer, Yannik – Teaching Statistics: An International Journal for Teachers, 2021
This paper reports on progress in the development of a teaching module on machine learning with decision trees for secondary-school students, in which students use survey data about media use to predict who plays online games frequently. This context is familiar to students and provides a link between school and everyday experience. In this…
Descriptors: Secondary School Students, Artificial Intelligence, Man Machine Systems, Educational Technology
Fleischer, Yannik; Biehler, Rolf; Schulte, Carsten – Statistics Education Research Journal, 2022
This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students' work is based on a…
Descriptors: Statistics Education, Educational Research, Electronic Learning, Secondary School Students
