Medienkompetenz und KI im Englischunterricht
This domain tests critical, ethical and pedagogical use of AI and digital media in English teaching. It is not about knowing the newest tool; it is about designing tasks in which learners use AI transparently, evaluate outputs and keep ownership of their thinking.
Core rules
- AI literacy: learners should understand what a language model does, what it cannot know, and why outputs can be fluent but wrong, biased or culturally stereotyped.
- Prompt literacy: a prompt needs role, audience, purpose, constraints and format. Learners should compare outputs from changed prompts and explain the differences.
- Verification: AI output is a draft to be checked against criteria, sources and register, not an authority.
- Transparency: declare AI use in process evidence; assessment should require planning notes, drafts, reflection or oral defence.
- Data protection: no personal data, learner names or sensitive school information in public AI tools; follow SH rules and school policy.
- Copyright and academic honesty: AI-generated text is not automatically the learner’s own achievement.
Worked example
Learners must write a formal email to a host family. First they prompt an AI tool: “Write a formal email to a host family introducing yourself, 120 words, polite register.” Then they evaluate the output against a checklist: Does it include all required information? Is the register consistently formal? Are there cultural clichés? They mark errors and rewrite the email in their own words. Reasoning: the AI output becomes a text to critique, not a model answer. This develops reading, register awareness and revision, while keeping the final product accountable to the learner.
Traps that cost marks
- Assuming AI output is correct because it is fluent.
- Using AI to grade learner texts without checking bias, consistency and data protection.
- Allowing AI-generated final products while assessing them as independent writing.
- Prompting without context, then blaming the tool for a generic answer.
- Ignoring cultural stereotypes and hallucinated facts in AI-generated texts.