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Turning three texts into a task-based lesson with ChatGPT

2/10/2025

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Turning three texts into a task-based lesson with ChatGPT



How ChatGPT helped me turn three business texts into a task-based lesson that my student loved.

A student recently sent me three business documents: two case studies and one press release. They were all in Czech, her first language, and her request was vague: “describe on English and do some quick points to my LinkedIn.” No instructions, no priorities — just the documents.

My aim, as usual, was to make the experience task-based rather than a one-way translation service. The question was: how to use these texts to generate LinkedIn-ready material while also giving her a strong learning experience.

Step 1: What ChatGPT did

I gave the documents to ChatGPT without any translation into English. It read them directly in Czech and produced everything in English: lists of key vocabulary, verb + preposition patterns, noun + preposition structures, common collocations, and stylistic features such as the passive voice and nominalisations. This immediately gave us a map of useful building blocks to shape into a lesson.

Step 2: My ideas unfolded

As I looked at the extracted language, I saw the possibility of creating a set of LinkedIn-style bullet points that captured the key ideas from the three texts. The idea then grew into two layers of activity:

  • Sorting by project (which bullet belongs to which case study or press release).
  • Sorting by type: hard facts vs value-add phrases.

That meant the student wasn’t just reading polished text; she was working with raw material, noticing patterns, and making decisions.

Sample of the bullets (half of the full set)

  • Implemented over 80 digital components in a single solution.
  • Improved candidate experience and strengthened employer branding.
  • Delivered a scalable SaaS solution for (number) authorised dealers.
  • Presented electromobility models and their availability online.
  • Educated customers about sustainability and green mobility.
  • Built tools to showcase services and car offers consistently across the dealer network.
  • Contributed to (company name)’s position in the market.

Step 3: The worksheet

With ChatGPT’s help, I created a one-page worksheet in minutes. It contained:

  • A list of mixed bullet points from all three documents.
  • Instructions to sort them by project and by fact/value.
  • A set of frames for turning facts into stronger LinkedIn statements.

Step 4: From facts to value

The worksheet also included frames that allow facts to be reshaped into value-add statements, such as:

  • Contributed to + [bigger goal] by + [action]
  • Focused on + [area] to + [outcome]
  • Implemented + [change] which + [result]
  • Strengthened + [area] through + [method]
  • Delivered + [result] leading to + [impact]

She took these away for homework, with the plan of combining them with the bullet points in the coming weeks. This will help her prepare LinkedIn content while developing a clearer sense of how English expresses impact and achievement in corporate settings.

What the student experienced

  • She encountered new vocabulary directly relevant to her field.
  • She saw known words used in ways she had never imagined, and certainly beyond her ability to use on her own.
  • She realised that pronunciation was a major hurdle with the new words — and that the main suprasegmental challenge for her is linking.

Reflection

ChatGPT enabled me to process three Czech business documents into a set of English bullets and frames almost instantly. My role was to let my ideas unfold as I saw the language it had extracted, shaping it into tasks that engaged the student in sorting, selecting, and adapting.

It was wonderful to be able to tailor-make such a specific lesson for a student who needed to work with particular texts for a very particular purpose. For me to read the documents in Czech (which I could have done) and identify areas of language that could become teaching points while also serving her need to update her LinkedIn presence would have taken me a whole morning. Instead, it took about 30 minutes to produce this focused, customised lesson.

In the future, she will be able to produce LinkedIn content while also developing a clearer grasp of English corporate language. The result of this first attempt was a strong start, and the student was delighted.

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