% abgeschlossen

Overview and introduction

What is this course about?

Content Structure and tips for this course

What do you need for this course?

How much time do you need for this course?

Introduction

Welcome (2:43 min)

Content (2:16 min)

Module 1: Under the Hood of Artificial Intelligence

Technical Background (6:36 min)

Algorithms (2:31 min)

Under the hood of LLMs (4:49 min)

Exercise: Experiment with LLMs and token prediction (5:00 min)

Reasoning Models (3:31 min)

Digression: The Black Box Problem (2:51 min)

Exercise: Find out more! (5:00 min)

Module 2: The Legal Implications of AI-generated Content

Copyright (4:15 min)

Citing AI (1:51 min)

Data processing at schools (3:50 min)

Exercise: Develop Classroom Policies (15:00 min)

Module 3: Regulations on Data Privacy and AI

What types of regulations exist and why we should care about them (2:22 min)

The EU AI Act (3:08 min)

Data Privacy Regulations

Exercise: Use Cases (10:00 min)

Bias, Risks and Ethics (3:33 min)

How do we implement all of this?

Exercise: You own ideas (10:00 min)

Module 4: AI in Education in Practice

The 4 principles of AI Literacy (2:12 min)

Applying the 4 principles - lesson preparation and administration (3:20 min)

Exercise: Lesson preparation with AI (15:00 min)

Applying the 4 principles in the classroom (6:20 min)

Exercise: Additional ideas (5:00 min)

Homework and Exams

Conclusion & what the future might hold

AI Guidelines for the Present and Future (3:18 min)

Future Trends (3:25 min)

🎉 Congratulations, certificate, and next steps

Feedback und Zertifikat