Shadowing-Übung: Master the Perfect ChatGPT Prompt Formula (in just 8 minutes)! - Englisch Sprechen Lernen mit Video
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I don't usually overhype myself,
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but in this video, we're going over the only formula you will ever need to master prompting on ChatGPT and Google Bard.
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So let's get started.
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Hey friends, welcome back to the channel.
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If you're new here, my name is Jeff.
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I work full -time in tech.
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And if you're anything like me a couple months ago, you know prompting is an important skill to learn,
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but you're not exactly sure why some prompts generate outputs that are super generic, while others give you precisely what you're looking for.
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Since then, I've spent hundreds of hours is taking prompt engineering courses and applying what I've learned in my daily life.
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And so in this video, I'm sharing the six building blocks that make up a good prompt
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so that you can use this formula to consistently generate high quality outputs.
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First, it's critical to not only know what the six components are, task, context, exemplars, persona, format,
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and tone, but also know that there's an order of importance to these six components.
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To show you what I mean, let's use this simple example.
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I'm a 70 kg male, give me a three month training program.
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The first part is context followed by the task.
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The reason why the task is higher up in the formula hierarchy is if we just input the task without the context,
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there's still some sort of meaningful output.
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But if we just give Chachapiti the context, nothing really happens.
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Put another way, it's mandatory to have a task in your prompt, it's important to include relevant context and exemplars,
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and it's nice to have persona, format, and tone.
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When you think of writing your prompt, go down this mental checklist.
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So this formula will act as a constant reminder for you to include just enough relevant information when writing prompts.
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And as you'll see in this next part, you do not need all six components in every prompt to have a good output.
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Now let's break down each building block with specific examples, starting with the task.
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The rule of thumb is to always start the task sentence with an action verb, generate, give, write, analyze, et cetera,
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and clearly articulate what your end goal is it could be
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one simple task like generating a three -month training program
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or a complex three -step task like analyzing hundreds of user feedback sharing the top three takeaways
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and categorizing the feedback based on the team responsible for following
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up the second component context is the trickiest to get right
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because technically there's an infinite amount of information you can give
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so i found asking myself these three questions to be super
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helpful in coming up with just enough information to get a good result from ChatGBT.
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First, what's the user's background?
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Second, what does success look like?
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And third, what environment are they in?
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Back to the workout example we now have,
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I'm a 70 kg male looking to put on five kilograms of muscle mass over the next three months.
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I only have time to go to the gym twice a week and for one hour each session,
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giving me a three -month training program to follow.
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Could I have added more background information?
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Of course, only prioritize the muscle groups that make me look good on Instagram.
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But the key to staying productive with ChatGPT and Bard is giving just enough information to constrain the endless possibilities.
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By the way, although this video is not sponsored,
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it is supported by those of you who subscribe to my paid productivity newsletter on Google Workspace Tips.
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Link in the description to learn more.
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Moving over to the exemplars component, it's just a fancy way of saying examples.
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Basically, all the research on large language models, LLMs, have shown that including examples within the prompt drastically improves the quality of the output.
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Starting with a simple example, this is a poorly written bullet point from a resume.
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We can now ask ChachiPT to rewrite this bullet point using this structure.
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I accomplished X by the measure Y that resulted in Z, which is actually best practice by the way.
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So actually do this in your resume.
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For example, I lowered hospital mortality rate by 10 % by educating nurses in new protocols, which translates to 200 lives saved per year.
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Here's a slightly more complicated example for interview prep.
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Based on my own resume, write me an answer to the interview question, what's your biggest weakness?
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Use the star answer framework, situation, task, action, and results.
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Here, instead of using a full -blown interview answer as an example,
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which would be overkill, the star framework acts as an example structure for ChatGPT to follow.
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Last example, let's say you need to write a job description.
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You give some context around the opening and ask ChatGPT to reference an existing job description.
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If I use this one I found on LinkedIn, the output will follow the same formatting and use the same professional HRE language,
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saving me a bunch of time.
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Main takeaway here, exemplars are not necessary for every prompt, but including a relevant example or framework will greatly improve the quality of your output.
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Moving along, the persona component is basically who you want ChatGPT and BART to be.
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And the pro tip here is to think of someone you wish you had instant access to with the task you're facing.
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If you injured yourself working out, that person might be a physical therapist with experience helping athletes recover.
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If you're a job seeker, that person might be a recruiter or hiring manager.
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If you're working on a creative brief, that person might be a senior product marketing manager who's great at storytelling.
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Pro tip, you can also name specific individuals, but I found the results to be good but only when they're famous enough,
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like Warren Buffet, Steve Jobs, Jeff Su.
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By the way, I just have to share this.
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We have a team offsite with a superheroes theme.
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So I asked ChatGPT to draft an email from Batman.
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And it even included things like, please let Alfred know and signed off as the Dark Knight.
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So fictional characters work as well.
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And I'm actually gonna use this.
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The fifth component, format.
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The pro tip here is to literally close your eyes and visualize how exactly you want the end result to look like.
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A million likes on my thirst bomb Instagram photo.
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Damn it, didn't work.
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Back to the user feedback example.
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I don't want to read each sentence, so I asked ChatGPT to take all the feedback and output a table with three headers.
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The original feedback, the team responsible for following up, and priority.
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And now I can copy this directly and paste it into a Google Sheet.
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So by priority and filter by team.
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Other common formats include emails, bullet points, and code blocks,
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but the one I found to be the most useful as a full -time working professional is paragraphs and markdown.
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For example, I just I just received a lengthy industry report from my director.
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First, give me the three key takeaways, then summarize based on topic.
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Use H2 as section headers.
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Here is the report.
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Pro tip, whenever I use ChachiBT to proofread any document,
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I specify that all changes need to be bolded so I can easily see exactly what has been changed.
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Let's quickly go through the last component, tone, before we put all this together in one example.
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The good news is tone is easy to understand.
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Use a casual or formal tone of voice, give me a witty output, show enthusiasm, sound pessimistic.
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The bad news is we're usually not very good at recalling the thousands of potential adjectives and adverbs at a moment's notice.
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So here's a pro tip.
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Tell ChatGPT the feeling you're going for.
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For example, I'm writing an email to a team I haven't worked with before
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and I wanna be taken seriously without coming off as too stuck up and cringey.
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Can you please give me a list of five tone keywords I can include in a prompt for ChatGPT?
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And look, now the actual prompt, I can say use clear and concise language and write in a friendly yet confident tone.
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Putting all this together, let's look at this comprehensive prompt.
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You are a senior product marketing manager at Apple, Persona, and you have just unveiled the latest Apple product in collaboration with Tesla,
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the Apple car, and received 12 ,000 pre -orders, which is 200 % higher than Target.
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Context.
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Write an email to your boss, Tim Cookie, sharing this positive of news.
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Task and format.
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The email should include a TLDR, too long, didn't read section.
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Project background, why this product came into existence.
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Business results section, quantifiable business metrics.
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And end with a section thanking the product and engineering teams.
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Example, structure.
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Use clear and concise language and write in a confident yet friendly tone.
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Tone.
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Note that if I had an existing email to reference, I could delete the instructions around the structure
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and simply tell ChatGPT the email should follow the exact same format as the one I will share below
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and paste the email from the fore.
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By the way, you can compare the output from this prompt to that of a simpler prompt.
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I just launched a new product, the Apple Car.
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I received 12 ,000 pre -orders.
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Please run email to my boss with this update.
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There's a pretty big difference in terms of how generic and usable the end result is.
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Now that you know the basics of prompting, my next video is gonna take you from beginner to pro, so make sure you're subscribed for that.
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Check out my top five ChaiGPT productivity tips for work.
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See you on the next video.
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In the meantime, have a great one.
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Wortschatz und Sprechhinweise zu dieser Lektion
Diese Sprechübung basiert auf dem Video „Master the Perfect ChatGPT Prompt Formula (in just 8 minutes)!“. Diese Wörter kommen am häufigsten vor: example, prompt, task, Chatgpt, output. Dieses Video enthält 129 Sätze und 1646 Wörter zum Nachsprechen. Der gesprochene Teil dauert 8:28. Der Sprecher spricht schnell, etwa 194 Wörter pro Minute – rechne mit verbundenen und verkürzten Lauten. Nur 80 % der Wörter gehören zu den 3.000 häufigsten im Englischen, der Wortschatz ist also anspruchsvoll.
Wichtiger Wortschatz in diesem Video
15 lernenswerte Wörter aus dem Video, mit Aussprache und Bedeutung:
| Wort | Aussprache | Bedeutung |
|---|---|---|
| prompt Verb | /pɹɑmpt/ | veranlassen, dazu bringen |
| output Substantiv | /ˈaʊtpʊt/ | Output |
| tone Substantiv | /ˈtəʊn/ | Ton |
| component Substantiv | /kəmˈpoʊ.nənt/ | Komponente |
| format Substantiv | /ˈfɔːɹ.mæt/ | Format |
| feedback Substantiv | /ˈfiːdˌbæk/ | Feedback, Rückmeldung |
| formula Substantiv | /ˈfɔː.mjʊ.lə/ | Formel |
| generate Verb | /ˈd͡ʒɛn.ə.ɹeɪt/ | generieren |
| persona Substantiv | /pɝˈsoʊnə/ | Persona |
| framework Substantiv | /ˈfɹeɪm.wɜːk/ | Rahmen, Gerüst |
| bullet Substantiv | /ˈbʊlɪt/ | Kugel, Ball |
| resume Verb | /ˈɹɛz.ə.meɪ/ | wiederaufnehmen, fortsetzen |
| muscle Substantiv | /ˈmʌs.əl/ | Muskel |
| priority Substantiv | /pɹaɪˈɒɹɪti/ | Priorität, Vorrang |
| productivity Substantiv | /ˌpɹɒdʌkˈtɪvəti/ | Produktivität, Leistungsfähigkeit |
Phrasal Verbs, die du hören wirst
| Wort | Aussprache | Bedeutung |
|---|---|---|
| break down Verb | versagen, den Geist aufgeben | |
| check out Verb | überprüfen | |
| come off Verb | sich ablösen, sich lösen | |
| come up with Verb | ausdenken | |
| go down Verb | absteigen, hinabsteigen | |
| make up Verb | /ˌmeɪk ˈʌp/ | wiedergutmachen, kompensieren |
| stuck up Adjektiv | eingebildet | |
| work out Verb | /ˌwɝk ˈaʊt/ | ausrechnen |
Grammatik in diesem Video
Die Strukturen, die der Sprecher am häufigsten verwendet, mit den genauen Worten aus dem Video:
| Struktur | Im Video |
|---|---|
| Present Perfect have/has + Partizip Perfekt – eine vergangene Handlung, die jetzt noch wichtig ist | I've spent · have added · have shown |
| Passiv be + Partizip Perfekt – wichtig ist, was geschieht, nicht wer es tut | is not sponsored · is supported · be bolded |
Aussprache, auf die du achten solltest
Der Sprecher verwendet 28 Kurzformen und abgeschwächte Formen, zum Beispiel you're, I'm, didn't. Sprich sie in der kurzen Form, so wie du sie hörst.
- Die „th“-Laute: athlete /ˈæθ.liːt/, enthusiasm /ɪnˈθuziæzəm/, thumb /ˈθʌm/, therapist /ˈθɛɹəpɪst/, thirst /θɝst/
- Die Laute „sh“ und „zh“: collaboration /kəˌlæbəˈɹeɪʃən/, casual /ˈkæʒ(u)əl/, instruction /ɪnˈstɹʌkʃən/, accomplish /əˈkɑm.plɪʃ/, fictional /ˈfɪkʃənəl/
- Lange Wörter – auf die Betonung achten: priority /pɹaɪˈɒɹɪti/, productivity /ˌpɹɒdʌkˈtɪvəti/, complicated /ˈkɑm.plɪˌkeɪ.tɪd/, comprehensive /ˌkɑm.pɹəˈhɛn.sɪv/, collaboration /kəˌlæbəˈɹeɪʃən/
Laute, die Deutschsprachigen schwerfallen:
- /w/ — mit runden Lippen, nicht wie das deutsche „w“ (/v/): framework /ˈfɹeɪm.wɜːk/, weakness /ˈwik.nɪs/, workout /ˈwɝk.aʊ̯t/, witty /ˈwɪti/, takeaway /ˈteɪkəweɪ/
- Stimmhafter Auslaut — /b/, /d/, /g/, /z/, /v/ am Wortende nicht verhärten: subscribe /səbˈskɹaɪb/, analyze /ˈæn.əˌlaɪz/, complicated /ˈkɑm.plɪˌkeɪ.tɪd/, comprehensive /ˌkɑm.pɹəˈhɛn.sɪv/, bold /ˈbəʊld/
- /æ/ — offener als „ä“: format /ˈfɔːɹ.mæt/, feedback /ˈfiːdˌbæk/, analyze /ˈæn.əˌlaɪz/, fancy /ˈfæn.si/, collaboration /kəˌlæbəˈɹeɪʃən/
So übst du mit diesem Video
- Höre dir das ganze Video einmal an, ohne zu sprechen, und notiere die Wörter, die du nicht kennst.
- Beginne mit 0,75-facher Geschwindigkeit, sprich Satz für Satz nach und wechsle zur normalen Geschwindigkeit, sobald es leichtfällt.
- Nimm dich auf und vergleiche mit dem Original; achte dabei auf Wörter wie prompt, output, tone.
Was ist die Shadowing-Technik?
Shadowing ist eine wissenschaftlich fundierte Sprachlerntechnik, die ursprünglich für die professionelle Dolmetscherausbildung entwickelt und durch den Polyglotten Dr. Alexander Arguelles populär gemacht wurde. Die Methode ist einfach aber wirkungsvoll: Du hörst englisches Audio von Muttersprachlern und wiederholst es sofort laut — wie ein Schatten, der dem Sprecher mit nur 1–2 Sekunden Verzögerung folgt. Anders als passives Hören oder Grammatikübungen zwingt Shadowing dein Gehirn und deine Mundmuskulatur, gleichzeitig echte Sprachmuster zu verarbeiten und zu reproduzieren. Studien zeigen, dass es Aussprachegenauigkeit, Intonation, Rhythmus, verbundene Sprache, Hörverständnis und Sprechflüssigkeit signifikant verbessert — was es zu einer der effektivsten Methoden für die IELTS Speaking-Vorbereitung und reale englische Kommunikation macht.