---
title: Machine Learning Fundamentals for K-12
type: concept
frequency: 2
papers_count: 2
related_concepts:
  - AI Literacy
  - Digital Equity in Education
  - Inclusive AI Education Design
tags:
  - concept
---
# Machine Learning Fundamentals for K-12

## Definition

Die Vermittlung grundlegender Machine-Learning-Konzepte (Neural Networks, Trainingsmechanismen, Datenbias) an Grundschüler durch praktische Tools wie Teachable Machine und Code.org.

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[AI Literacy]] | 2 |
| [[Digital Equity in Education]] | 1 |
| [[Inclusive AI Education Design]] | 1 |

## Papers

- [[Ng_2022_Using_digital_story_writing_as_a_pedagogy_to]]
- [[Algorithms, artificial intelligence and discrimination (Wong_2020_Broadening_artificial_intellig)]]

## Assessment-Divergenz

Von 1 bewerteten Papers: 1 Divergenzen (100%)

