Quelltext der Seite E9 G - Understand a current-topic explainer

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= E9 G - Understand a current-topic explainer =

'''Mini-Beschreibung:''' Du verstehst einen kurzen, altersgerechten englischen Explainer zu einem aktuellen Thema. Du arbeitest nach dem Weg '''English first → understand → respond → ask → hint → improve → use again'''. Beispielthema dieses Kurses: '''AI, data centres and electricity use'''. Zielgruppe: Klasse 9, Englisch als erste Fremdsprache, G-Niveau, Baden-Württemberg.

'''Wichtig:''' Du sollst nicht jedes Wort übersetzen. Verstehe zuerst die Hauptidee. Nutze Hilfen erst danach. Verständlichkeit ist wichtiger als ein perfekter Akzent.

[[Datei:Virginia Tech - data center.jpg|500px|rahmenlos|center]]

'''Look first – no dictionary yet.''' What can you see? What may happen inside this place? Say two simple English sentences.

{{#ev:youtube|   https://www.youtube.com/watch?v=cz3AYYZBiGs   |500|center}}

'''Media task:''' Watch the first part once without a transcript. Listen for only three ideas: '''AI – electricity – data centres'''. On the second viewing, you may use English subtitles. Do not translate the whole video.

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= I can ... =

# '''I can''' understand the main idea of a short current-topic explainer.
# '''I can''' find a few important facts and separate facts from predictions.
# '''I can''' use context to understand important words.
# '''I can''' react with a short opinion and one reason.
# '''I can''' ask a useful follow-up question.
# '''I can''' write a short structured response.
# '''I can''' check a current fact with a reliable source.

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= Vorwissen aktivieren =

'''Quick start – 2 minutes.'''

# Say three English words you connect with '''AI'''.
# Complete: '''A data centre is a place where ...'''
# Choose one: '''AI uses no electricity / some electricity / a lot of electricity.''' Explain why you think so.
# Write one question you have about AI and energy.

'''Do not check the answers yet.''' Your first idea is allowed to be incomplete.

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= Current-topic explainer: AI and electricity =

[[Datei:Icon AI brain blue.svg|300px|rahmenlos|center]]

'''Read in English first.'''

'''AI needs electricity.''' When you ask an AI tool a question, powerful computers in data centres do the work. These computers also need cooling. In 2025, data centres used about '''485 terawatt-hours''' of electricity worldwide, according to the International Energy Agency. That was around '''1.5%''' of global electricity demand. The IEA expects data-centre use to rise to about '''950 terawatt-hours by 2030''', or around '''3%''' of global demand. AI is an important reason, but other digital services also use data centres. Efficiency is improving, yet more people are using AI and some tasks need much more energy than simple text. The future is not fixed: demand depends on technology, use, power grids and energy supply.

'''Stop and think:'''
# What is the text mainly about?
# Which two numbers describe the present and the possible future?
# Which sentence tells you that the future is uncertain?
# What does '''yet''' show: addition, contrast or reason?

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== Current fact check ==

The figures above use the International Energy Agency's current 2026 analysis. The IEA reports about 485 TWh of data-centre electricity use in 2025 and a central projection of about 950 TWh in 2030. A projection is '''not''' a guaranteed future result.

'''Reliable sources:'''
# [https://www.iea.org/reports/key-questions-on-energy-and-ai/executive-summary IEA: Key Questions on Energy and AI – Executive Summary]
# [https://www.iea.org/topics/artificial-intelligence IEA: Artificial Intelligence and energy]
# [https://www.iea.org/reports/energy-and-ai IEA: Energy and AI]

'''Source rule:''' Check the date, the organisation and whether a number is a measured fact or a projection.

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= Listening and viewing =

{{#ev:youtube|   https://www.youtube.com/watch?v=8M3MciEmC5c   |500|center}}

This IEA video from 2026 is longer. For G-level work, use only a short part first.

'''Round 1 – gist:''' Watch about 00:00–03:06. Do not open the transcript. Tick mentally: '''investment / data centres / electricity / school uniforms'''.

'''Round 2 – detail:''' Watch again. Pause after important ideas. Note only five key words.

'''Round 3 – support:''' Now use English subtitles or the YouTube transcript if needed. Compare with your notes. Do not make a full German translation.

'''Listening strategy:''' You do not need every word. Names, repeated words, images and numbers can help you.

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= Reading strategy =

Use this four-step method:

# '''Headline:''' What topic do you expect?
# '''First read:''' Find the main message.
# '''Second read:''' Mark facts, reasons and contrasts.
# '''Check:''' Look up only words that block understanding.

'''Mini-check:''' In the explainer, underline mentally one '''fact''', one '''projection''' and one '''contrast'''.

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= Context vocabulary =

{| class="wikitable"
! Word
! Simple English meaning
! Small German help
! Use it
|-
| '''data centre'''
| a place with many computers and servers
| Rechenzentrum
| A data centre needs electricity.
|-
| '''server'''
| a computer that stores or processes data
| Server
| The server does the computing.
|-
| '''electricity demand'''
| how much electricity is needed
| Strombedarf
| Demand may rise.
|-
| '''cooling'''
| keeping machines from getting too hot
| Kühlung
| Servers need cooling.
|-
| '''grid'''
| the system that carries electricity
| Stromnetz
| The grid supplies power.
|-
| '''efficiency'''
| doing the same job with less energy or fewer resources
| Effizienz
| Better efficiency can save energy.
|-
| '''projection'''
| an evidence-based view of a possible future
| Prognose
| The 2030 figure is a projection.
|-
| '''source'''
| where information comes from
| Quelle
| Check the source.
|-
| '''according to'''
| as reported by
| laut
| According to the IEA, demand is rising.
|-
| '''yet'''
| but at the same time
| dennoch
| Efficiency improves, yet total use can rise.
|}

'''No vocabulary dump:''' Learn the words through the topic and reuse them in sentences.

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= Media reading =

[[Datei:Data center roof.jpg|500px|rahmenlos|center]]

'''Look closely:''' This roof shows cooling equipment and backup systems. Complete:
# '''I can see ...'''
# '''The equipment may be needed because ...'''
# '''One question I have is ...'''

[[Datei:Two transmission towers.jpg|400px|rahmenlos|center]]

'''Connect the image to the explainer:''' Use '''grid''', '''electricity''' and '''data centre''' in one short explanation.

[[Datei:Solar panels in the desert.jpg|500px|rahmenlos|center]]

[[Datei:Wind turbines in southern California 2016.jpg|500px|rahmenlos|center]]

'''Compare:''' Solar and wind can produce electricity. A data centre can use electricity from different sources. Do not assume that every data centre has the same energy mix.

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= Pronunciation and fluency =

'''Goal: clear speech, not accent-free speech.'''

Say these chunks slowly, then at normal speed:

# '''data centre'''
# '''electricity demand'''
# '''according to the IEA'''
# '''by twenty thirty'''
# '''The future is not fixed.'''

'''Chunking:''' Do not speak word by word.

'''According to the IEA / data-centre electricity use / may rise by 2030.'''

'''Fluency tip:''' Pause at meaning groups. Stress important content words such as '''data''', '''electricity''', '''rise''' and '''2030'''.

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= Respond =

Give a short reaction.

'''Frame A:'''
'''I think this topic is important because ...'''

'''Frame B:'''
'''One fact that surprised me was ...'''

'''Frame C:'''
'''I am not sure about ... because ...'''

Keep your answer to two or three sentences first.

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= Ask =

Useful follow-up questions:

# '''Why does AI need so much electricity?'''
# '''How can data centres use less energy?'''
# '''Where does the electricity come from?'''
# '''How certain is the 2030 projection?'''
# '''Which AI tasks need the most energy?'''

Now write one new question of your own.

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= Functional grammar =

You need only a few useful structures.

{| class="wikitable"
! Function
! Structure
! Example
|-
| fact
| present simple
| Data centres use electricity.
|-
| reason
| because
| Cooling matters because servers get hot.
|-
| contrast
| but / yet
| Efficiency improves, yet demand can still rise.
|-
| cautious future
| may / could
| Demand may rise.
|-
| reported projection
| expects ... to
| The IEA expects demand to rise.
|}

'''Accuracy focus:''' Work mainly on '''because''', '''but/yet''' and '''may/could'''. Communication comes first.

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= Speaking =

'''30-second response:'''

Use this order:
# '''Topic:''' The explainer is about ...
# '''Key fact:''' One important fact is ...
# '''Reaction:''' I think ...
# '''Reason:''' ... because ...
# '''Question:''' I would like to know ...

'''Partner rule:''' Listen first. Then ask one real follow-up question.

'''Optional recording:''' You may record yourself privately for practice. Recording is voluntary. Do not upload it unless you have clearly chosen to do so and your school rules allow it.

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= Writing =

Write '''70–90 words'''.

'''Task:''' A class blog asks: '''Should we care about the electricity used by AI?'''

Use:
# a clear first sentence,
# one fact from the explainer,
# your opinion,
# one reason,
# one question for the reader.

'''Useful starters:''' '''The explainer shows that ... / According to the IEA ... / I think ... because ... / However ... / My question is ...'''

Keep your own text. Do not replace it with a completely new AI-generated version.

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= Mediation =

'''Situation:''' A German classmate says: „Die Zahl für 2030 ist sicher, weil sie von einer Energieagentur kommt.“

Explain the idea in simple English to an exchange student.

'''Important:''' Do not translate every German word. Give the meaning.

Possible start: '''The 2030 number is not a fact yet. It is a projection, so ...'''

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= Hint ladder =

Use only as much help as you need.

'''Hint 1 – key words:''' AI → data centres → servers → electricity → cooling → rising demand.

'''Hint 2 – sentence frames:'''
'''The main idea is ...'''
'''One important fact is ...'''
'''The text says that ... may ...'''
'''I think ... because ...'''

'''Hint 3 – mini-model:'''
'''The explainer is about AI and electricity. Data centres need power for computers and cooling. The IEA expects electricity use to rise, but the future is not certain.'''

Now improve your own answer instead of copying the model.

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= Feedback and error analysis =

Use '''message first, language second'''.

{| class="wikitable"
! Check
! Ask yourself
|-
| '''Meaning'''
| Can another person understand my main point?
|-
| '''Evidence'''
| Did I use a fact correctly and call a projection a projection?
|-
| '''Reason'''
| Did I use because for a real reason?
|-
| '''Contrast'''
| Did I use but or yet clearly?
|-
| '''Future language'''
| Did I use may, could or expects to when the future is uncertain?
|}

'''Three useful corrections:'''

'''Not good:''' Data centres will use exactly 950 TWh in 2030.  
'''Better:''' The IEA expects data centres to use about 950 TWh in 2030.

'''Not good:''' AI need electricity.  
'''Better:''' AI needs electricity.

'''Not good:''' I think it is important because electricity.  
'''Better:''' I think it is important because data centres need a lot of electricity.

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= Use again: Transfer =

Choose a new current topic, for example '''heatwaves''', '''microplastics''', '''electric cars''', '''AI-generated media''' or '''urban wildlife'''.

Find one short English explainer from a reliable source. Then repeat the same route:

'''English first → understand → respond → ask → hint → improve → use again.'''

Before using a number, check:
# Who published it?
# When was it published?
# Is it a measured fact, an estimate or a projection?
# Can another reliable source support it?

Do not use private social-media profiles or personal data for class research.

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= Safe and responsible use of AI =

AI tools are '''optional'''. This course works without external AI access.

If you use AI:
# Check factual claims with reliable sources.
# Keep your own original text and compare changes.
# Do not upload private recordings, names, addresses, application data or private social-media information.
# Treat AI feedback as a suggestion, not as a fact.
# If a source is unclear, go back to the original source.

Fictional profiles and fictional personal details should be used for practice tasks.

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= Can-do check =

{| class="wikitable"
! I can ...
! Yes
! Almost
! Not yet
|-
| understand the main idea without translating everything
| □
| □
| □
|-
| find a fact and a projection
| □
| □
| □
|-
| explain one key word from context
| □
| □
| □
|-
| react and give a reason
| □
| □
| □
|-
| ask a useful follow-up question
| □
| □
| □
|-
| write a short structured response
| □
| □
| □
|-
| check a current source
| □
| □
| □
|}

'''If you choose “Almost” or “Not yet”:''' return to one small section, use one hint, then try again.

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= Folgekurs =

Next step: [[E9 G - Respond to and discuss a current-topic explainer|E9 G - Respond to and discuss a current-topic explainer]]

There you can practise longer reactions, follow-up questions and a short discussion.

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= Interaktive Aufgaben =

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== Quiz: Teste Dein Wissen ==

{{MC}}

'''What is the main job of a data centre in this explainer?'''
(It houses computers that store and process data)
(!It produces all electricity for a city)
(!It replaces the power grid)
(!It translates every text into German)

{{E}}
<br>

{{MC}}

'''About how much electricity did data centres use worldwide in 2025 according to the IEA?'''
(About 485 TWh)
(!About 48 TWh)
(!About 950 TWh)
(!About 5 TWh)

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<br>

{{MC}}

'''What does the IEA project for global data-centre electricity use around 2030?'''
(About 950 TWh)
(!About 95 TWh)
(!Exactly 485 TWh)
(!Zero TWh)

{{E}}
<br>

{{MC}}

'''What is a projection?'''
(An evidence-based view of a possible future)
(!A fact that cannot change)
(!A full translation)
(!A type of server)

{{E}}
<br>

{{MC}}

'''What should you do on the first viewing of a short explainer?'''
(Listen for the main idea)
(!Translate every word)
(!Open a German transcript first)
(!Stop after every sentence)

{{E}}
<br>

{{MC}}

'''Which word is useful for giving a reason?'''
(because)
(!yet)
(!perhaps)
(!centre)

{{E}}
<br>

{{MC}}

'''Which question is a useful follow-up question?'''
(How can data centres use less energy?)
(!What colour is electricity?)
(!Is every number always certain?)
(!Can a server eat lunch?)

{{E}}
<br>

{{MC}}

'''Which sentence shows a contrast?'''
(Efficiency improves, yet total use can rise)
(!Servers are computers)
(!The source is the IEA)
(!A grid carries electricity)

{{E}}
<br>

{{MC}}

'''What is a good source-checking habit?'''
(Check who published the information and when)
(!Believe the first number you see)
(!Use only anonymous posts)
(!Ignore whether a figure is a projection)

{{E}}
<br>

{{MC}}

'''Which summary best matches the explainer?'''
(AI uses data centres that need electricity, and future demand may rise)
(!AI works without physical computers)
(!All data centres use only solar power)
(!Electricity demand can never change)

{{E}}
<br>

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== Memory ==

<div class="memo-quiz">
{|
|-
| data centre || place with many servers
|-
| cooling || keeps machines from getting too hot
|-
| projection || evidence-based view of a possible future
|-
| grid || system that carries electricity
|-
| source || place where information comes from
|-
| efficiency || same job with fewer resources
|}
{{E}}
<br>

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== Drag and Drop ==

<div class="lueckentext-quiz">

{| class="wikitable" 
! Ordne die richtigen Begriffe zu.
! Funktion
|-
| '''server'''
| processes data
|-
| '''cooling system'''
| removes heat
|-
| '''power grid'''
| carries electricity
|-
| '''renewable energy'''
| can provide lower-carbon electricity
|-
| '''projection'''
| describes a possible future based on evidence

|}
{{E}}

<br>

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== Kreuzworträtsel ==

<div class="kreuzwort-quiz">
{|
|-
| server || Which computer processes or stores data in a data centre?
|-
| cooling || What keeps computer equipment from getting too hot?
|-
| demand || What word means the amount of electricity needed?
|-
| source || What should you check to know where a fact comes from?
|-
| grid || What system carries electricity from producers to users?
|-
| evidence || What should support a reliable factual claim?
|}
{{E}}
<br>

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== LearningApps ==

<iframe> https://learningapps.org/index.php?s=E9+G+Understand+a+current-topic+explainer </iframe>

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== Lückentext ==

<quiz display=simple>
{'''Vervollständige den Text.'''<br>
|type="{}"}
AI tools depend on computers in { data centres }.
The computers need electricity and also need { cooling }.
The IEA reported about 485 TWh of data-centre electricity use in { 2025 }.
The number for 2030 is a { projection }.
A projection describes a possible future, so it is not completely { certain }.
The word because introduces a { reason }.
The word yet can show a { contrast }.
A reliable reader checks the date and the { source }.
</quiz>

<br>

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= Offene Aufgaben =

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=== Leicht ===

# [[Picture talk - Data centre]]: Beschreibe eines der Bilder mit vier einfachen englischen Sätzen. Verwende mindestens zwei Wörter aus dem Kontextwortschatz.
# [[Five-word listening note]]: Sieh den ersten Ausschnitt des IEA-Videos an und notiere genau fünf englische Schlüsselwörter. Formuliere daraus anschließend einen Hauptsatz zur Kernaussage.
# [[Fact or projection]]: Schreibe je einen Satz mit einem Fakt und einer Projektion aus dem Explainer. Markiere sprachlich den Unterschied.
# [[Follow-up question]]: Formuliere drei kurze englische Rückfragen zum Thema und wähle die Frage aus, die am meisten neue Information bringen könnte.

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=== Standard ===

# [[Thirty-second explainer response]]: Halte eine 30-sekündige englische Kurzreaktion mit Thema, Fakt, Meinung, Grund und Frage. Eine Aufnahme ist freiwillig und bleibt privat.
# [[Source detective]]: Vergleiche die IEA-Themenseite mit einer zweiten seriösen Quelle. Notiere Herausgeber, Datum, gemeinsame Aussage und einen Unterschied.
# [[Mini opinion text]]: Schreibe 70–90 Wörter zur Frage „Should we care about the electricity used by AI?“ und überarbeite danach nur drei sprachliche Punkte.
# [[Mediation - Projection]]: Erkläre einem englischsprachigen Austauschschüler mündlich, warum die 2030-Zahl keine sichere Tatsache ist. Übersetze nicht Wort für Wort.

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=== Schwer ===

# [[New current-topic explainer]]: Finde einen kurzen englischen Explainer zu einem anderen aktuellen gesellschaftlichen, technologischen, kulturellen oder ökologischen Thema und wende die komplette Lernroute darauf an.
# [[Compare two explainers]]: Vergleiche zwei seriöse englische Erklärtexte zum gleichen Thema. Untersuche Hauptaussage, Quellen, Zahlen, Unsicherheit und Sprachstil.
# [[Class mini-newsroom]]: Erstellt in einer Kleingruppe einen eigenen 90-sekündigen englischen Explainer mit klarer Quellenangabe, zwei geprüften Fakten und einem Hinweis auf Unsicherheit.
# [[Improve with evidence]]: Überarbeite einen eigenen ersten Entwurf nach Peer-Feedback. Zeige mit kurzen Randnotizen, welche Änderung Verständlichkeit, Beleg oder sprachliche Genauigkeit verbessert hat.

{{:Offene Aufgabe - MOOC erstellen}}

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= Lernkontrolle =

# [[Main idea transfer]]: Du erhältst einen neuen kurzen Explainer zu einem anderen aktuellen Thema. Formuliere die Hauptaussage in zwei eigenen englischen Sätzen, ohne eine Vollübersetzung anzufertigen.
# [[Fact prediction distinction]]: Markiere in einem neuen Text einen gemessenen Fakt, eine Prognose und eine unsichere Aussage. Begründe deine Einteilung mit sprachlichen Signalen.
# [[Source evaluation]]: Vergleiche zwei Quellen zu derselben Zahl. Entscheide anhand von Herausgeber, Datum, Methode und Formulierung, welche Information für deine Aufgabe besser belegt ist.
# [[Responsive speaking]]: Reagiere auf eine kurze Aussage eines Partners, gib einen Grund und stelle anschließend eine echte Rückfrage, die das Gespräch weiterführt.
# [[Revision task]]: Verbessere einen kurzen fehlerhaften englischen Text so, dass Hauptaussage, reason language, contrast language und cautious future language klarer werden.
# [[Media transfer]]: Erkläre anhand eines unbekannten passenden Bildes, wie es mit einem aktuellen Explainer zusammenhängen könnte, und kennzeichne deutlich, was du sicher weißt und was du nur vermutest.

<br>
<br>

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= Lernnachweis =

Für einen Lernnachweis zu diesem Thema ist wichtig:

# Du verstehst die Hauptaussage eines kurzen englischen Current-topic-Explainers.
# Du kannst wichtige Details finden, ohne alles zu übersetzen.
# Du unterscheidest Fakt, Schätzung und Projektion.
# Du nutzt einige zentrale Kontextwörter korrekt.
# Du reagierst verständlich und begründest eine Meinung.
# Du stellst passende Rückfragen.
# Du schreibst einen kurzen strukturierten Text.
# Du kannst eine eigene Formulierung nach Feedback gezielt verbessern.
# Du prüfst bei aktuellen Informationen Quelle und Datum.
# Du gehst mit freiwilligen Aufnahmen, persönlichen Daten und KI-Werkzeugen verantwortungsvoll um.

<br>
<br>

{{BR}}
= OERs zum Thema =

'''Wikipedia – Hintergrund zum Beispielthema:'''

<iframe> https://de.m.wikipedia.org/wiki/Rechenzentrum </iframe>

'''Weitere frei zugängliche Lern- und Sachquellen:'''
# [https://www.iea.org/reports/energy-and-ai IEA – Energy and AI] – Bericht und Analysen; zentrale Teile unter CC BY 4.0.
# [https://www.iea.org/topics/artificial-intelligence IEA – Artificial Intelligence] – laufend aktualisierte Themenseite.
# [https://commons.wikimedia.org/wiki/Category:Data_centers Wikimedia Commons – Data centers] – freie bzw. frei lizenzierte Medien mit jeweiliger Lizenzangabe.

'''Medienhinweis:''' Die im Kurs verwendeten Wikimedia-Commons-Dateien besitzen auf ihrer Dateiseite Angaben zu Urheber und Lizenz. Die eingebetteten Videos stammen vom offiziellen YouTube-Kanal der International Energy Agency. Für schulische Nutzung gelten zusätzlich die jeweiligen schulischen Datenschutz- und Plattformregeln.

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= Verknüpfte Lernbereiche =

{| align=center
{{:D-Tab}}
'''[[Englisch als erste Fremdsprache]]'''
# [[Hörverstehen Englisch|Listening]]
# [[Leseverstehen Englisch|Reading]]
# [[Sprechen Englisch|Speaking]]
# [[Schreiben Englisch|Writing]]
# [[Sprachmittlung Englisch|Mediation]]
# [[Wortschatz Englisch|Vocabulary]]
# [[Grammatik Englisch|Functional grammar]]
# [[Medienkompetenz]]
# [[Quellenkritik]]
# [[Künstliche Intelligenz]]
# [[Energie]]
|}

[[Kategorie:Englisch]]
[[Kategorie:Englisch Klasse 9]]
[[Kategorie:Klasse 9]]
[[Kategorie:G-Niveau]]
[[Kategorie:Baden-Württemberg]]
[[Kategorie:Hörverstehen]]
[[Kategorie:Leseverstehen]]
[[Kategorie:Sprechen]]
[[Kategorie:Schreiben]]
[[Kategorie:Sprachmittlung]]
[[Kategorie:Medienkompetenz]]
[[Kategorie:Künstliche Intelligenz]]
[[Kategorie:Energie]]
[[Kategorie:AI_MOOC]]
[[Kategorie:GPT aiMOOC]]

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= aiMOOC-Projekte =
[[Kategorie:AI_MOOC]] [[Kategorie:GPT aiMOOC]]
{{MT}}