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📌 C2EN

Vivian Rodrigues de Araújo · General English

A ready-to-use C2 English lesson — reading, questions and answer key, built by teachers on TeachIn.

This lesson has 4 sections in total — including the full answer key.

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🎬 Interactive video — script & questions

SPEAKER 1: I've decided to leave marketing and retrain as a software developer. It's what's motivated me most over the past two years. SPEAKER 2: Really? That's a significant shift. What actually prompted the change? SPEAKER 1: Well, it's the problem-solving aspect that appeals to me most. What I've realized is that I spent far too long chasing promotions rather than doing work that genuinely interested me. The irony is, it wasn't until I started learning to code during lockdown that I understood what real engagement felt like. SPEAKER 2: So coding was the catalyst, then. How are your colleagues taking it? SPEAKER 1: Mixed reactions. What surprised me, though, was that my line manager—she's been incredibly supportive. She even offered to write me a reference, which was unexpected given how much I'd complained about the job. But what bothers me most is the financial uncertainty. The bootcamp is expensive, and I won't earn much initially. SPEAKER 2: That's the trade-off, isn't it? Do your family understand the risk? SPEAKER 1: My partner does. But it's my parents who find it baffling. They think I'm throwing away a stable career. What they don't grasp is that stability means nothing if you're miserable. What I'm after isn't just money—it's purpose. SPEAKER 2: Fair enough. It takes courage, honestly.
  1. What is it that most appeals to Speaker 1 about becoming a software developer?
    • a) The potential for higher salaries
    • b) The problem-solving aspect
    • c) More flexible working hours
    • d) The prestige of the profession
  2. When did Speaker 1 first realize their interest in coding?
    • a) During a university course
    • b) While working in marketing
    • c) During lockdown
    • d) After their line manager suggested it
  3. What was unexpected about Speaker 1's line manager's response?
    • a) She offered to write a reference despite Speaker 1 complaining about the job
    • b) She refused to give any support
    • c) She suggested Speaker 1 should stay in marketing
    • d) She offered to increase Speaker 1's salary
  4. What is Speaker 1's main concern about the career change?
    • a) Disappointing their family members
    • b) Finding a suitable bootcamp
    • c) Financial uncertainty and initial low earnings
    • d) The length of the training programme
  5. Why do Speaker 1's parents struggle to understand the decision?
    • a) They believe stability matters more than personal fulfilment
    • b) They think coding is too difficult to learn
    • c) They want Speaker 1 to start their own business
    • d) They are concerned about the bootcamp's reputation

📖 Reading

It is the sheer ordinariness of the request that still unsettles me. A colleague asked, quite casually, whether I'd mind proofreading a report before it went to the board, and it was only when I opened the document that I realised what I'd actually agreed to: four hundred pages of prose so tangled that entire paragraphs seemed to be arguing with themselves. What struck me most, though, wasn't the syntax but the tone — a peculiar blend of corporate caution and buried panic, as if the writer knew the figures told an uncomfortable story and hoped that enough subordinate clauses might smother it. What had gone wrong, I eventually discovered, was not a single catastrophic decision but a slow accumulation of small evasions. It was the quarterly projections, not the initial strategy, that had been quietly revised every time reality failed to cooperate. And it was precisely this habit — adjusting the target rather than confronting the shortfall — that had left the company exposed when the market shifted. No one had lied outright; they had simply redrawn the finish line so often that nobody could say where the race had actually started. I mention all this not to dwell on corporate malaise but because the episode crystallised something I'd long suspected about language itself: that the words we choose to foreground reveal more than the information they contain. It is what a sentence chooses to emphasise, after all, that exposes what its author is trying to hide or highlight. Bury the subject in a dependent clause and responsibility dissolves; place it defiantly at the front, and suddenly someone is accountable. The report I was given had been engineered, sentence by sentence, to ensure that nothing and no one was ever quite the grammatical subject of failure. By the time I'd finished my edits, I'd rewritten perhaps a third of the document, not to flatter it but to let the facts stand where they belonged — in full view, as the main clause, rather than tucked away as an afterthought. It was only then, oddly, that the real narrative became legible: a company that had grown too quickly, trusted its own optimism too readily, and mistaken motion for progress. The board, to their credit, did not shoot the messenger. What they did instead was commission an independent review, which is precisely what should have happened eighteen months earlier.

🗣️ Speaking — discussion

Context

  • Artificial intelligence has moved from laboratory experiments to everyday applications such as virtual assistants, recommendation algorithms, and automated customer service.
  • Many industries—healthcare, education, finance, and transportation—are being reshaped by AI capabilities.
  • As AI becomes more embedded in society, questions about ethics, job displacement, and human agency have intensified.
  • Recent breakthroughs in large language models have sparked both excitement and concern about the future of work and human creativity.

Themes

  • Technology and Human Connection — As AI systems become more sophisticated, the paradox emerges: does technology bring us closer together or create distance? The role of AI in mediating human relationships raises questions about authenticity and presence.
  • Ethics and Responsibility — Who is responsible when AI systems make decisions that affect people's lives? This theme explores accountability, transparency, and the moral frameworks needed to govern artificial intelligence.
  • Work and Economic Disruption — AI promises productivity gains but threatens traditional employment. The challenge lies in preparing society for rapid economic transition while ensuring equitable distribution of benefits.
  • Agency and Autonomy — As algorithms increasingly influence what we see, buy, and believe, questions arise about human freedom of choice and the extent to which our decisions are truly our own.

Personal Response

  1. What aspect of AI in your daily life has had the most noticeable impact on how you work or communicate?
  2. It is the convenience of AI assistants that makes them indispensable, or is it something else that draws you to them?

Themes & Ideas

  1. What is it about AI decision-making that concerns you most—the lack of transparency, the potential for bias, or something different?
  2. The real danger with AI lies in how we choose to deploy it rather than the technology itself. Do you agree with this perspective?

Critical Thinking

  1. How would you design regulations for AI without stifling innovation? What principle should governments prioritize?
  2. What we often call 'AI creativity' is pattern recognition based on human work. Does this distinction matter when evaluating AI's role in creative fields?

Cultural & Social Topics

  1. Different cultures have different attitudes toward AI adoption. What factors shape a society's willingness to embrace or resist AI integration?
  2. The benefits of AI tend to concentrate among wealthy nations and corporations. How can we ensure more equitable access to AI's advantages globally?

Advanced (C1 level)

  1. It is our cognitive biases that make us vulnerable to AI manipulation, raising the question of whether transparency alone is sufficient to protect autonomy.
  2. What remains distinctly human in a world where machines can learn, predict, and even create? How should this reframe our understanding of human value?

🎭 Classroom activity

Debate in pairs or small groups: one side argues that AI development should be accelerated with minimal regulation, the other argues for strict oversight. Students must use cleft sentences to emphasize key arguments (e.g., 'What concerns me most is...', 'It is transparency that we need...', 'It was the lack of regulation that led to...'). Afterward, reverse roles and debate again, focusing on using pseudo-cleft and standard cleft structures to articulate nuanced positions.

✏️ Questions

  1. After months of confusing grammar explanations, it was the teacher's patient feedback on my essays ___ finally made me understand the difference between the past perfect and the simple past.
  2. It wasn't the vocabulary list ___ gave me trouble during the exam; it was the listening section, with its fast native-speaker accents.
  3. ___ struggled most with phrasal verbs in our advanced English class was Marco, who kept mixing up 'look up' and 'look into'.
  4. ___ my tutor kept emphasizing throughout the course was that fluency matters more than memorizing obscure idioms.
  5. It was only after failing the speaking test twice ___ she finally decided to practise English conversation with native speakers every day.
  6. ___ really helped my English pronunciation improve was recording myself reading aloud every evening and comparing it to native speakers.
  7. According to the writer, what was the true cause of the company's problems?
    • a) A single disastrous decision made by senior management
    • b) A gradual pattern of repeatedly revising targets instead of facing shortfalls
    • c) Outright lying by the finance department about quarterly figures
    • d) An external market shift that no one could have predicted
  8. Why does the writer bring up the episode with the report in paragraph 3?
    • a) To criticise the company's board for their incompetence
    • b) To illustrate how sentence structure can conceal or reveal accountability
    • c) To explain why proofreading is a tedious but necessary job
    • d) To argue that corporate reports should never use subordinate clauses
  9. What does the phrase 'mistaken motion for progress' most nearly mean in the final paragraph?
    • a) Confused physical activity with genuine improvement
    • b) Believed that being busy or changing things equalled real success
    • c) Made a literal error in calculating the company's movement in the market
    • d) Deliberately pretended that failure was actually success
  10. It was precisely this habit — adjusting the target rather than confronting the shortfall — that had left the company exposed when the market shifted. What does this cleft construction emphasise?
    • a) That the market shift itself was the primary cause of the exposure
    • b) That it was this specific habit, rather than anything else, that caused the exposure
    • c) That the company had no warning before the market shifted
    • d) That the shortfall was smaller than initially reported
  11. What can be inferred about the board's reaction once the writer's edited report was presented?
    • a) They dismissed the writer for rewriting too much of the document
    • b) They ignored the findings and continued as before
    • c) They accepted the uncomfortable truth and took corrective action, albeit belatedly
    • d) They demanded the report be rewritten to hide the company's growth problems again
  12. What is the overall tone of the passage?
    • a) Bitter and vengeful towards former colleagues
    • b) Reflective and wryly critical, using a personal anecdote to explore a broader idea about language and honesty
    • c) Purely technical, focused on grammatical rules with no personal commentary
    • d) Light-hearted and dismissive of the seriousness of corporate failure

This lesson has 4 sections in total — including the full answer key.

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