Auf einen Blick / At a glance
Free Abitur English practice pack: analyse a text on AI and visions of the technological future, with guided annotation tools.
- Niveau / Level
- B2–C1 (GER/CEFR)
- Für / For
- Abitur
- Fertigkeiten / Skills
- Leseverstehen / Reading, Schreiben / Writing
- Schwerpunkt / Focus
- Text analysis
- Aufgaben / Tasks
- 5
- Kosten / Cost
- kostenlos, ohne Anmeldung / free, no sign-up
📘 Referenzleitfaden: Rhetorische Mittel (zum Nachschlagen)
Example: "Isn't it time we asked what success really costs?"
Example: "When Maria was twelve, she watched her father work three jobs to pay the rent."
Example: "Nearly 40% of graduates now say they would take a pay cut for a shorter working week."
Example: "The corporate ladder has become a treadmill."
Example: "You already know the feeling — that quiet dread on Sunday evening."
Example: "They wanted freedom, flexibility, and a reason to get out of bed."
Example: "Our parents chased security; we chase meaning."
Übung 1 · Rhetorische Mittel zuordnen
Read the article below. Match each highlighted quotation to the rhetorical/stylistic device it demonstrates.
The Machines We Made to Think: Living With Artificial Intelligence
Fifty years ago, a computer that could hold a conversation belonged firmly to science fiction. Would anyone in 1975 have believed that a machine could one day write poetry, diagnose illness, and argue philosophy — all before breakfast? Today, that machine sits quietly in millions of pockets.
Consider Dr. Amara Okafor, a radiologist in Toronto. Last year, an AI system flagged a tumour on one of her scans that she herself had missed on first review, and she has not looked at a scan the same way since. For her, artificial intelligence is no longer a futuristic curiosity — it is a colleague she did not choose but has come to rely on.
The scale of the shift is difficult to overstate. One recent industry report estimates that AI tools now assist in over 30% of medical diagnoses made in leading hospitals worldwide. What began as an experiment in laboratories has quietly become infrastructure.
Yet for every efficiency gained, a question is raised. We taught machines to see patterns we could not; now we must decide how much of our judgement we are willing to hand over in return. Optimists see a future of longer, healthier lives. Sceptics see a slow erosion of human expertise and accountability.
Both camps agree on one thing: the technology is not coming — it has already arrived. The only real choice left is not whether artificial intelligence will shape our future, but how wisely we choose to shape it back.
Übung 2 · Purpose, Audience & Tone
Answer the following questions about the article's purpose, intended audience, and tone.
📄 Read the article again
Fifty years ago, a computer that could hold a conversation belonged firmly to science fiction. Would anyone in 1975 have believed that a machine could one day write poetry, diagnose illness, and argue philosophy — all before breakfast? Today, that machine sits quietly in millions of pockets.
Consider Dr. Amara Okafor, a radiologist in Toronto. Last year, an AI system flagged a tumour on one of her scans that she herself had missed on first review, and she has not looked at a scan the same way since. For her, artificial intelligence is no longer a futuristic curiosity — it is a colleague she did not choose but has come to rely on.
The scale of the shift is difficult to overstate. One recent industry report estimates that AI tools now assist in over 30% of medical diagnoses made in leading hospitals worldwide. What began as an experiment in laboratories has quietly become infrastructure.
Yet for every efficiency gained, a question is raised. We taught machines to see patterns we could not; now we must decide how much of our judgement we are willing to hand over in return. Optimists see a future of longer, healthier lives. Sceptics see a slow erosion of human expertise and accountability.
Both camps agree on one thing: the technology is not coming — it has already arrived. The only real choice left is not whether artificial intelligence will shape our future, but how wisely we choose to shape it back.
Übung 3 · Wirkung analysieren (Effect Analysis)
For each technique below, choose the answer that best explains its effect on the reader.
📄 Read the article again
Fifty years ago, a computer that could hold a conversation belonged firmly to science fiction. Would anyone in 1975 have believed that a machine could one day write poetry, diagnose illness, and argue philosophy — all before breakfast? Today, that machine sits quietly in millions of pockets.
Consider Dr. Amara Okafor, a radiologist in Toronto. Last year, an AI system flagged a tumour on one of her scans that she herself had missed on first review, and she has not looked at a scan the same way since. For her, artificial intelligence is no longer a futuristic curiosity — it is a colleague she did not choose but has come to rely on.
The scale of the shift is difficult to overstate. One recent industry report estimates that AI tools now assist in over 30% of medical diagnoses made in leading hospitals worldwide. What began as an experiment in laboratories has quietly become infrastructure.
Yet for every efficiency gained, a question is raised. We taught machines to see patterns we could not; now we must decide how much of our judgement we are willing to hand over in return. Optimists see a future of longer, healthier lives. Sceptics see a slow erosion of human expertise and accountability.
Both camps agree on one thing: the technology is not coming — it has already arrived. The only real choice left is not whether artificial intelligence will shape our future, but how wisely we choose to shape it back.
Übung 4 · Aufbau eines Analyseaufsatzes ordnen
Click the paragraph descriptions below in the correct order to build a well-structured analysis essay.
Übung 5 · Vollständige Analyse schreiben
Write a full analysis paragraph (150–200 words) examining how the writer uses language to convey her message.
📄 Read the article again
Fifty years ago, a computer that could hold a conversation belonged firmly to science fiction. Would anyone in 1975 have believed that a machine could one day write poetry, diagnose illness, and argue philosophy — all before breakfast? Today, that machine sits quietly in millions of pockets.
Consider Dr. Amara Okafor, a radiologist in Toronto. Last year, an AI system flagged a tumour on one of her scans that she herself had missed on first review, and she has not looked at a scan the same way since. For her, artificial intelligence is no longer a futuristic curiosity — it is a colleague she did not choose but has come to rely on.
The scale of the shift is difficult to overstate. One recent industry report estimates that AI tools now assist in over 30% of medical diagnoses made in leading hospitals worldwide. What began as an experiment in laboratories has quietly become infrastructure.
Yet for every efficiency gained, a question is raised. We taught machines to see patterns we could not; now we must decide how much of our judgement we are willing to hand over in return. Optimists see a future of longer, healthier lives. Sceptics see a slow erosion of human expertise and accountability.
Both camps agree on one thing: the technology is not coming — it has already arrived. The only real choice left is not whether artificial intelligence will shape our future, but how wisely we choose to shape it back.