AI Fundamentals

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This chapter provides an overview and essential information about the course.

Course Overview and Essential Information

About This Course

This chapter explores why understanding AI and data is important for educators.

AI Literacy Overview

Importance of AI Data Literacy for Educators

This chapter covers fundamental data types, sources and how they are utilized in AI applications.

Fundamental Data Concepts

Common Data Sources in Education

Basic Data Concepts, Sources, and use in AI applications

This chapter introduces common AI models in education and explains data processing techniques.

How AI Learns from Data: The Basics

Introduction to AI Models

How AI Models Process Data

Quality of AI Outputs

Now What?

Activity Building a Simple AI Model Using Educational Data

Understanding AI Models and Data Processing

This chapter teaches how to interpret and act upon AI-generated insights in educational settings.

Types of AI Outputs and Interpretations

Activity: Interpreting AI System Output

Interpreting AI Outputs

Course Recap and Additional Considerations

Additional, learning activities are provided to enhance AI data literacy knowledge and competencies.

Scenario Learning Activities

Activity: AI Data Processing and Bias

Supplemental Learning Activities (Optional)

Pass the knowledge quiz with a score of 100% to earn the course completion certificate.  

Course Completion Quiz

This course covers the basics of AI data literacy, helping users understand how AI systems process data, generate insights, and support decision-making in educational contexts. Participants will learn about different types of AI models, data processing techniques, and how to interpret AI outputs effectively. The course emphasizes responsible AI use and the importance of balancing AI-driven insights with professional judgment.No prior technical knowledge of AI or data science is required. The course is tailored for educators who wish to enhance their understanding of AI in educational contexts and leverage AI tools effectively in their professional practice.This course is asynchronous, allowing participants to engage with course materials at their own pace and according to their schedules. If you have any questions or comments about this course, we encourage you to post them in the <a target="_blank" href="https://www.eduvators.net/community-detail/eduvators-network/1298">Eduvators Network Community</a> # Discussion channel.

The AI Data Essentials for Educators Course is designed to equip educators with fundamental knowledge about how data is the backbone of artificial intelligence (AI). 

AI Data Essentials for Educators

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Level

Duration

What you will learn

Understand the importance of AI data literacy in education

Identify different types of data used in educational AI applications

Explain basic concepts of how AI models process and learn from data

Interpret common AI outputs such as predictions, classifications, and recommendations

Apply critical thinking when reviewing AI-generated insights

Consider ethical implications and potential biases in AI educational tools

Balance AI insights with professional judgment in decision-making

Course content

Course Description

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