AI and learning

The content on this page was translated automatically.

Artificial intelligence can personalize learning processes, support learners and open up new paths. Used correctly, it promotes independence and individual learning. At the same time, it is important to make conscious use of opportunities and critically reflect on limitations. This page shows in a practical way how AI can support learning.

Self-directed learning

In self-study, it is important to structure learning processes independently. AI can help to organize materials, filter out key messages and develop comprehension questions. This allows students to maintain an overview, build up their knowledge step by step and identify specific gaps.

NotebookLM

NotebookLM transforms your own materials (texts, PDFs, notes) into a personalized learning system. Learners can structure and summarize content, generate comprehension questions - and also listen to content with the podcast function for flexible repetition.

Prompt example:
"Summarize the most important points from my uploaded materials and formulate three comprehension questions from them. Also derive a diagram that visualizes the connections."

ChatGPT and other language models

Dialogue-based AI can ask questions, point out contradictions and encourage learners to think further. In this way, it supports the development of reflection and argumentation skills.

Prompt example:
Have a Socratic dialog with me on the topic [TOPIC]. Ask me questions that test my understanding, point out contradictions and encourage me to develop my arguments further.

Chat AI (with university access) (opens in a new window)

Promoting critical thinking

Critical thinking means examining arguments, recognizing contradictions and further developing one's own positions. AI can support this process by encouraging dialog, asking questions and thus challenging students to think. This promotes the ability to critically question and reflect on research.

Research & gain an overview

Finding, categorizing and critically evaluating information quickly is a key skill for students. AI-supported tools can help to create summaries, highlight key terms and make sources visible. However, it remains important to check the results and combine them with traditional research options.

Perplexity AI

Perplexity AI is an AI search engine with references - helpful for study and research. It provides summaries, definitions and references that are suitable for a quick overview.

Prompt example:
"Research the current state of research on [TOPIC]. Create a short overview with the most important sources, explain key terms and point out possible controversies."

Perplexity AI (opens in a new window)

Anki (with tools like AnkiBuddy)

Anki is based on the principle of "spaced repetition" and is suitable for memorizing knowledge in the long term. Extensions such as AnkiBuddy can be used to automatically create flashcards from texts or PDFs.

Prompt example:
"Create 10 flashcards in Anki format from this text. Make sure that the questions contain both factual knowledge and comprehension questions and are arranged in a meaningful sequence."

Repeat & Anchor

Targeted repetition is needed to ensure that learning content is remembered in the long term. Digital flashcards are particularly suitable for building up knowledge step by step and regularly reviewing it.

Reflecting on opportunities and limits

Artificial intelligence offers many opportunities for learning, but also brings challenges. These include dependency, lack of source verification, data protection issues and possible biases. Teachers can support students in using AI in a conscious and reflective way - and discuss together when AI is useful and when it is better to avoid it.

The following two videos by Nina Bach provide inspiration.