---
title: Machine Learning Literacy
type: concept
frequency: 4
papers_count: 4
related_concepts:
  - AI Literacy
  - Algorithmic Fairness
  - Ethical AI Awareness
  - AI Competency Framework
  - AI Ethics Principles
tags:
  - concept
---
# Machine Learning Literacy

## Definition

Understanding of machine learning components including data-driven design, knowledge representation, and model training. A foundational technical component within broader AI literacy for K-12 students.

## Co-occurrence

| Konzept | Gemeinsame Papers |
|---------|------------------|
| [[AI Literacy]] | 4 |
| [[Algorithmic Fairness]] | 1 |
| [[Ethical AI Awareness]] | 1 |
| [[AI Competency Framework]] | 1 |
| [[AI Ethics Principles]] | 1 |
| [[Prompt Engineering]] | 1 |
| [[Algorithmic Bias]] | 1 |
| [[Explainable AI]] | 1 |

## Papers

- [[AI literacy in K-12- a systematic literature review]]
- [[A Competency Framework for AI Literacy- Variations by Different Learner Groups and an Implied Learning Pathway]]
- [[What are artificial intelligence literacy and competency- A comprehensive framework to support them]]
- [[Development of the “Scale for the assessment of non-experts’ AI literacy” – An exploratory factor analysis]]

## Assessment-Divergenz

Von 1 bewerteten Papers: 0 Divergenzen (0%)

