Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
Source
| Informatics in Education | 1 |
Author
| Da Cruz Alves, Nathalia | 1 |
| Gresse Von Wangenheim,… | 1 |
| Hauck, Jean C. R. | 1 |
| Rauber, Marcelo F. | 1 |
| Yeter, Ibrahim H. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Kindergarten | 1 |
| Middle Schools | 1 |
| Primary Education | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textGresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
