Questões de Concurso Sobre inglês

Foram encontradas 25.289 questões

Q3750954 Inglês
 Text 1– The Black Cat (Edgar Allan Poe)


Pluto– this was the cat’s name– was my favorite pet and playmate. I alone Blank I him, and he attended me wherever I went about the house. It was even with difficulty that I could prevent him from following me through the streets.

Our friendship lasted, in this manner, for several years, during which my general temperament and character– through the instrumentality of the Fiend Intemperance– had (I blush to confess it) experienced a radical alteration for the worse. I Blank II, day by day, more moody, more irritable, more regardless of the feelings of others. I suffered myself to use intemperate language to my wife. At length, I even offered her personal violence. My pets, of course, were made to feel the change in my disposition. I not only neglected, but ill-used them. For Pluto, however, I still retained sufficient regard to restrain me from maltreating him, as I made no scruple of maltreating the rabbits, the monkey, or even the dog, when by accident, or through affection, they came in my way. But my disease grew upon me– for what disease is like Alcohol!– and at length even Pluto, who was now becoming old, and consequently somewhat peevish– even Pluto Blank III to experience the effects of my ill temper.

 From: https://poestories.com/read/blackcat. Accessed on 10/15/2025

Regarding the process of word formation, it can be stated that:



I. Playmate is an example of a compound word formed by combining the words “play” and “mate”.


II. Inflection occurs when a suffix is added to a word without changing its grammatical class as in becoming (...Pluto, was now becoming old...).


III. Derivation occurs when affixes are added to a word to change its meaning and, in some cases, its grammatical class.

Alternativas
Q3750953 Inglês
 Text 1– The Black Cat (Edgar Allan Poe)


Pluto– this was the cat’s name– was my favorite pet and playmate. I alone Blank I him, and he attended me wherever I went about the house. It was even with difficulty that I could prevent him from following me through the streets.

Our friendship lasted, in this manner, for several years, during which my general temperament and character– through the instrumentality of the Fiend Intemperance– had (I blush to confess it) experienced a radical alteration for the worse. I Blank II, day by day, more moody, more irritable, more regardless of the feelings of others. I suffered myself to use intemperate language to my wife. At length, I even offered her personal violence. My pets, of course, were made to feel the change in my disposition. I not only neglected, but ill-used them. For Pluto, however, I still retained sufficient regard to restrain me from maltreating him, as I made no scruple of maltreating the rabbits, the monkey, or even the dog, when by accident, or through affection, they came in my way. But my disease grew upon me– for what disease is like Alcohol!– and at length even Pluto, who was now becoming old, and consequently somewhat peevish– even Pluto Blank III to experience the effects of my ill temper.

 From: https://poestories.com/read/blackcat. Accessed on 10/15/2025
When addressing the pronunciation of the regular past tense morpheme -ed, which verbs from the excerpt of The Black Cat can be presented as examples of the [d] allophone?
Alternativas
Q3750952 Inglês
 Text 1– The Black Cat (Edgar Allan Poe)


Pluto– this was the cat’s name– was my favorite pet and playmate. I alone Blank I him, and he attended me wherever I went about the house. It was even with difficulty that I could prevent him from following me through the streets.

Our friendship lasted, in this manner, for several years, during which my general temperament and character– through the instrumentality of the Fiend Intemperance– had (I blush to confess it) experienced a radical alteration for the worse. I Blank II, day by day, more moody, more irritable, more regardless of the feelings of others. I suffered myself to use intemperate language to my wife. At length, I even offered her personal violence. My pets, of course, were made to feel the change in my disposition. I not only neglected, but ill-used them. For Pluto, however, I still retained sufficient regard to restrain me from maltreating him, as I made no scruple of maltreating the rabbits, the monkey, or even the dog, when by accident, or through affection, they came in my way. But my disease grew upon me– for what disease is like Alcohol!– and at length even Pluto, who was now becoming old, and consequently somewhat peevish– even Pluto Blank III to experience the effects of my ill temper.

 From: https://poestories.com/read/blackcat. Accessed on 10/15/2025
As in difficulty, the suffix -y turns an adjective into a noun in:
Alternativas
Q3750951 Inglês
 Text 1– The Black Cat (Edgar Allan Poe)


Pluto– this was the cat’s name– was my favorite pet and playmate. I alone Blank I him, and he attended me wherever I went about the house. It was even with difficulty that I could prevent him from following me through the streets.

Our friendship lasted, in this manner, for several years, during which my general temperament and character– through the instrumentality of the Fiend Intemperance– had (I blush to confess it) experienced a radical alteration for the worse. I Blank II, day by day, more moody, more irritable, more regardless of the feelings of others. I suffered myself to use intemperate language to my wife. At length, I even offered her personal violence. My pets, of course, were made to feel the change in my disposition. I not only neglected, but ill-used them. For Pluto, however, I still retained sufficient regard to restrain me from maltreating him, as I made no scruple of maltreating the rabbits, the monkey, or even the dog, when by accident, or through affection, they came in my way. But my disease grew upon me– for what disease is like Alcohol!– and at length even Pluto, who was now becoming old, and consequently somewhat peevish– even Pluto Blank III to experience the effects of my ill temper.

 From: https://poestories.com/read/blackcat. Accessed on 10/15/2025
The verbs that correctly fill in Blanks I, II and III are respectively:
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Q3749890 Inglês
Leia atentamente o trecho do manual de manutenção de um switch de rede (em inglês) e responda à questão a seguir:

Chapter 3: Troubleshooting Guide

“If the STATUS LED is red, a system error has occurred. First, check all power connections and ensure the power cord is securely seated in the inlet and the wall outlet. If the issue persists, power cycle the device. CAUTION: Before proceeding, back up all configuration data. If the error remains, contact technical support and provide the serial number of the unit.”

De acordo com o manual técnico, assinale a primeira ação que o técnico deve tomar se o LED de STATUS estiver vermelho:
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Q3748902 Inglês
        Since the 1950s, researchers, inventors and entrepreneurs have been fascinated by the idea of Artificial Intelligence (AI) to replicate human behaviour and thinking into technology. Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning, natural language processing and understanding, generative AI and orchestrating decision making and now the latest advancement: agentic AI.

        Today, AI is not just a technology but a critical part of modern IT strategies. AI in the IT industry has been a transformative force, automating tasks, analysing vast amounts of data and improving operational processes. By using AI for ITSM, organisations can adapt to a changing technology landscape and complex digital environments and keep their IT infrastructure future proof.

        AI has come a long way from theory to software to recent innovations like machine learning (ML). ML is about developing AI algorithms and models that help systems learn and make decisions based on patterns and relationships in data. Instead of programming each decision manually, systems can make decisions on their own based on large amounts of data. Continuous learning on data allows systems to get better over time. At the next level is natural language processing (NLP), a branch of machine learning that’s about interpreting human language and generating intelligent and contextual responses. By using ML algorithms on language, machines can do things like response generation, speech recognition, language translation and more. NLP is the foundation for modern day chatbots that can understand user intent and generate responses to user requests.

         AI is revolutionizing ITSM by introducing innovative solutions such as an AI service desk that enhances IT operations. With automated ticket triaging, routing, deflection, and process automation, organizations can streamline tasks that IT agents encounter daily.

        By providing agents with agent assist capabilities and an AI Copilot, organizations can reduce redundant and repetitive service tasks and improve productivity, thereby minimizing the need for human intervention in these repetitive tasks. With AIOps, organizations can also stay ahead of potential incidents and outages with proactive detection and remediation, as well as automated incident management.

        AI also plays a big role in software development and testing. It helps quality assurance teams by generating test cases and predicting defects. This means they can catch and fix bugs much earlier which prevents bigger issues down the line. When it comes to data center security, computer vision is a powerful tool. It allows systems to analyze images and videos to monitor infrastructure and spot anything unusual. Additionally, machine learning models can analyze network traffic in real time to detect cyber threats and fraud and allow teams to respond quickly and protect their systems.

Internet:<aisera.com>  (adapted).
In the period “This means they can catch and fix bugs much earlier which prevents bigger issues down the line.” the modal verb “can” has the meaning of 
Alternativas
Q3748901 Inglês
        Since the 1950s, researchers, inventors and entrepreneurs have been fascinated by the idea of Artificial Intelligence (AI) to replicate human behaviour and thinking into technology. Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning, natural language processing and understanding, generative AI and orchestrating decision making and now the latest advancement: agentic AI.

        Today, AI is not just a technology but a critical part of modern IT strategies. AI in the IT industry has been a transformative force, automating tasks, analysing vast amounts of data and improving operational processes. By using AI for ITSM, organisations can adapt to a changing technology landscape and complex digital environments and keep their IT infrastructure future proof.

        AI has come a long way from theory to software to recent innovations like machine learning (ML). ML is about developing AI algorithms and models that help systems learn and make decisions based on patterns and relationships in data. Instead of programming each decision manually, systems can make decisions on their own based on large amounts of data. Continuous learning on data allows systems to get better over time. At the next level is natural language processing (NLP), a branch of machine learning that’s about interpreting human language and generating intelligent and contextual responses. By using ML algorithms on language, machines can do things like response generation, speech recognition, language translation and more. NLP is the foundation for modern day chatbots that can understand user intent and generate responses to user requests.

         AI is revolutionizing ITSM by introducing innovative solutions such as an AI service desk that enhances IT operations. With automated ticket triaging, routing, deflection, and process automation, organizations can streamline tasks that IT agents encounter daily.

        By providing agents with agent assist capabilities and an AI Copilot, organizations can reduce redundant and repetitive service tasks and improve productivity, thereby minimizing the need for human intervention in these repetitive tasks. With AIOps, organizations can also stay ahead of potential incidents and outages with proactive detection and remediation, as well as automated incident management.

        AI also plays a big role in software development and testing. It helps quality assurance teams by generating test cases and predicting defects. This means they can catch and fix bugs much earlier which prevents bigger issues down the line. When it comes to data center security, computer vision is a powerful tool. It allows systems to analyze images and videos to monitor infrastructure and spot anything unusual. Additionally, machine learning models can analyze network traffic in real time to detect cyber threats and fraud and allow teams to respond quickly and protect their systems.

Internet:<aisera.com>  (adapted).
In the period “Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning,” the word “milestones” could be replaced, without affecting meaning, by
Alternativas
Q3748900 Inglês
        Since the 1950s, researchers, inventors and entrepreneurs have been fascinated by the idea of Artificial Intelligence (AI) to replicate human behaviour and thinking into technology. Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning, natural language processing and understanding, generative AI and orchestrating decision making and now the latest advancement: agentic AI.

        Today, AI is not just a technology but a critical part of modern IT strategies. AI in the IT industry has been a transformative force, automating tasks, analysing vast amounts of data and improving operational processes. By using AI for ITSM, organisations can adapt to a changing technology landscape and complex digital environments and keep their IT infrastructure future proof.

        AI has come a long way from theory to software to recent innovations like machine learning (ML). ML is about developing AI algorithms and models that help systems learn and make decisions based on patterns and relationships in data. Instead of programming each decision manually, systems can make decisions on their own based on large amounts of data. Continuous learning on data allows systems to get better over time. At the next level is natural language processing (NLP), a branch of machine learning that’s about interpreting human language and generating intelligent and contextual responses. By using ML algorithms on language, machines can do things like response generation, speech recognition, language translation and more. NLP is the foundation for modern day chatbots that can understand user intent and generate responses to user requests.

         AI is revolutionizing ITSM by introducing innovative solutions such as an AI service desk that enhances IT operations. With automated ticket triaging, routing, deflection, and process automation, organizations can streamline tasks that IT agents encounter daily.

        By providing agents with agent assist capabilities and an AI Copilot, organizations can reduce redundant and repetitive service tasks and improve productivity, thereby minimizing the need for human intervention in these repetitive tasks. With AIOps, organizations can also stay ahead of potential incidents and outages with proactive detection and remediation, as well as automated incident management.

        AI also plays a big role in software development and testing. It helps quality assurance teams by generating test cases and predicting defects. This means they can catch and fix bugs much earlier which prevents bigger issues down the line. When it comes to data center security, computer vision is a powerful tool. It allows systems to analyze images and videos to monitor infrastructure and spot anything unusual. Additionally, machine learning models can analyze network traffic in real time to detect cyber threats and fraud and allow teams to respond quickly and protect their systems.

Internet:<aisera.com>  (adapted).
In the text, Natural Language Processing is a branch of Machine Learning that can be summarized as
Alternativas
Q3748899 Inglês
        Since the 1950s, researchers, inventors and entrepreneurs have been fascinated by the idea of Artificial Intelligence (AI) to replicate human behaviour and thinking into technology. Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning, natural language processing and understanding, generative AI and orchestrating decision making and now the latest advancement: agentic AI.

        Today, AI is not just a technology but a critical part of modern IT strategies. AI in the IT industry has been a transformative force, automating tasks, analysing vast amounts of data and improving operational processes. By using AI for ITSM, organisations can adapt to a changing technology landscape and complex digital environments and keep their IT infrastructure future proof.

        AI has come a long way from theory to software to recent innovations like machine learning (ML). ML is about developing AI algorithms and models that help systems learn and make decisions based on patterns and relationships in data. Instead of programming each decision manually, systems can make decisions on their own based on large amounts of data. Continuous learning on data allows systems to get better over time. At the next level is natural language processing (NLP), a branch of machine learning that’s about interpreting human language and generating intelligent and contextual responses. By using ML algorithms on language, machines can do things like response generation, speech recognition, language translation and more. NLP is the foundation for modern day chatbots that can understand user intent and generate responses to user requests.

         AI is revolutionizing ITSM by introducing innovative solutions such as an AI service desk that enhances IT operations. With automated ticket triaging, routing, deflection, and process automation, organizations can streamline tasks that IT agents encounter daily.

        By providing agents with agent assist capabilities and an AI Copilot, organizations can reduce redundant and repetitive service tasks and improve productivity, thereby minimizing the need for human intervention in these repetitive tasks. With AIOps, organizations can also stay ahead of potential incidents and outages with proactive detection and remediation, as well as automated incident management.

        AI also plays a big role in software development and testing. It helps quality assurance teams by generating test cases and predicting defects. This means they can catch and fix bugs much earlier which prevents bigger issues down the line. When it comes to data center security, computer vision is a powerful tool. It allows systems to analyze images and videos to monitor infrastructure and spot anything unusual. Additionally, machine learning models can analyze network traffic in real time to detect cyber threats and fraud and allow teams to respond quickly and protect their systems.

Internet:<aisera.com>  (adapted).
According to the text, Artificial Intelligence in IT is helping multiple organizations due to its 
Alternativas
Q3747836 Inglês
Which part of the word "misunderstanding" is a prefix?
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Q3747835 Inglês
Mark the item that CORRECTLY fills in the blank below.

World War I (WWI) took place ______ the 20th century.
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Q3747834 Inglês
Jane Austen’s “Pride and Prejudice” is a classic novel that explores themes of:
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Q3747833 Inglês
There are many approaches to teaching English as an additional language. Although methods can differ significantly, there is no single best method for teaching a second language. One of the most widely practiced approaches is content based instruction, which consists of:
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Q3747832 Inglês
    We might be confronted on a weekly basis by a different trend or TikTok 'aesthetic' to try, but all the bestdressed people in the world stick to what they know works best. Having distinctive personal style is all about defining what suits you and never venturing too far from it. Of course, this makes getting dressed every morning easier and leads to a lot less stress when shopping – but embracing your own uniqueness in fashion can have a positive impact on your mental health more generally.

    According to the fashion psychologist Shakaila Forbes-Bell, standing out via your clothing is all about gaining validation, and this can boost your confidence and change the way that others interact with you.

    “As humans, our desire to stand out is ingrained because achieving special recognition and validation boosts our self-image and increases our likelihood of being rewarded,” she explains.

Source: Harper’s Bazaar. Adaptation.
Mark the item that displays the CORRECT translation for the text below.

Having distinctive personal style is all about defining what suits you and never venturing too far from it.
Alternativas
Q3747831 Inglês
    We might be confronted on a weekly basis by a different trend or TikTok 'aesthetic' to try, but all the bestdressed people in the world stick to what they know works best. Having distinctive personal style is all about defining what suits you and never venturing too far from it. Of course, this makes getting dressed every morning easier and leads to a lot less stress when shopping – but embracing your own uniqueness in fashion can have a positive impact on your mental health more generally.

    According to the fashion psychologist Shakaila Forbes-Bell, standing out via your clothing is all about gaining validation, and this can boost your confidence and change the way that others interact with you.

    “As humans, our desire to stand out is ingrained because achieving special recognition and validation boosts our self-image and increases our likelihood of being rewarded,” she explains.

Source: Harper’s Bazaar. Adaptation.
The underlined phrasal verb in the 3rd paragraph of the text means: 
Alternativas
Q3747830 Inglês
    We might be confronted on a weekly basis by a different trend or TikTok 'aesthetic' to try, but all the bestdressed people in the world stick to what they know works best. Having distinctive personal style is all about defining what suits you and never venturing too far from it. Of course, this makes getting dressed every morning easier and leads to a lot less stress when shopping – but embracing your own uniqueness in fashion can have a positive impact on your mental health more generally.

    According to the fashion psychologist Shakaila Forbes-Bell, standing out via your clothing is all about gaining validation, and this can boost your confidence and change the way that others interact with you.

    “As humans, our desire to stand out is ingrained because achieving special recognition and validation boosts our self-image and increases our likelihood of being rewarded,” she explains.

Source: Harper’s Bazaar. Adaptation.
According to the text, clothing has a positive impact on our mental health because:
Alternativas
Q3747553 Inglês
TEXT 2

English Should Not Be Taught Like It’s Physics: Rethinking How We Teach Beginner Level Learners

Introduction


When teaching English to beginner-level learners, one of the biggest mistakes we make is treating the language like a set of scientific formulas to be memorized. In the quintessential classroom of traditional, test-focused educational systems, English is often taught as though it were physics; it’s rigid, theoretical, and abstract. Language, however, is a far cry from the aforementioned descriptions. Language is dynamic, flexible, and has a certain “feel” to it.

The problem with the “Physics” Approach

Picture this: you walk into a physics class and sit down. Immediately, all sorts of theories, equations, and vocabulary you’ve never heard before are being thrown at you without any context. Doesn’t feel good, does it? That’s how many beginner-level English learners feel. This method relies heavily on grammar drills, vocabulary lists, and some pretty unnatural textbook dialogues. Learners may know the structure of the present perfect tense, but they choke when asked, “How was your weekend?” Why? Because they’ve been trained to decode language like a formula; not use it as a tool for expression.

What language really is

Language is instinctive. We don’t learn our first language by studying grammar rules, but rather through interaction, repetition, and real-life use. Babies don’t sit down with textbooks in their lap. They listen, observe, repeat, and gradually experiment; with zero fear of making mistakes. This is how language sticks. For beginner-level learners, especially adults, we need to replicate that natural process as much as possible. The focus should shift from knowledge about the language to using the language. There should also be some emphasis on making sure the process is enjoyable.

Rethinking success

We need to redefine what success looks like in beginner English classes. It’s not about perfect grammar. It’s about confidence, connection, and the ability to navigate simple conversations. It’s about the listener’s ability to understand what is being said by the speaker and vice-versa. I remember when I’d tease my grandma for mispronouncing words (for example, she’d say “brade” instead of “blade”), and her retort would be, “You understood me though, didn’t you?!”

It’s a win if a student can say, “I like sushi. You?” If they can ask, “Where is the toilet?” when they’re pressed, they’ve got more success than someone who has 50 verbs memorized but can’t use them.

Conclusion

English is NOT physics. It’s not about solving problems on paper; it’s about expressing thoughts and being understood, building relationships and making life easier in an everchanging global world. If we want our students to thrive, as well as keep being interested in improving and using English long after moving on from our lessons together, we need to stop treating the language like a set of scientific formulas and start treating it like what it truly is: a human skill.

Let’s make the classroom a space of interaction and communication, not calculation.


Content extracted and adapted from: https://www.hltmag.co.uk/oct25/english-should-not-be-taught-like-it-sphysics
Take into account that certain English words are very similar in spelling and meaning to their Brazilian Portuguese counterparts because they come from the same origin. These words are known as “cognates”. With this in mind, choose the only option that correctly lists five English real cognates present in Text 2:
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Q3747552 Inglês
TEXT 2

English Should Not Be Taught Like It’s Physics: Rethinking How We Teach Beginner Level Learners

Introduction


When teaching English to beginner-level learners, one of the biggest mistakes we make is treating the language like a set of scientific formulas to be memorized. In the quintessential classroom of traditional, test-focused educational systems, English is often taught as though it were physics; it’s rigid, theoretical, and abstract. Language, however, is a far cry from the aforementioned descriptions. Language is dynamic, flexible, and has a certain “feel” to it.

The problem with the “Physics” Approach

Picture this: you walk into a physics class and sit down. Immediately, all sorts of theories, equations, and vocabulary you’ve never heard before are being thrown at you without any context. Doesn’t feel good, does it? That’s how many beginner-level English learners feel. This method relies heavily on grammar drills, vocabulary lists, and some pretty unnatural textbook dialogues. Learners may know the structure of the present perfect tense, but they choke when asked, “How was your weekend?” Why? Because they’ve been trained to decode language like a formula; not use it as a tool for expression.

What language really is

Language is instinctive. We don’t learn our first language by studying grammar rules, but rather through interaction, repetition, and real-life use. Babies don’t sit down with textbooks in their lap. They listen, observe, repeat, and gradually experiment; with zero fear of making mistakes. This is how language sticks. For beginner-level learners, especially adults, we need to replicate that natural process as much as possible. The focus should shift from knowledge about the language to using the language. There should also be some emphasis on making sure the process is enjoyable.

Rethinking success

We need to redefine what success looks like in beginner English classes. It’s not about perfect grammar. It’s about confidence, connection, and the ability to navigate simple conversations. It’s about the listener’s ability to understand what is being said by the speaker and vice-versa. I remember when I’d tease my grandma for mispronouncing words (for example, she’d say “brade” instead of “blade”), and her retort would be, “You understood me though, didn’t you?!”

It’s a win if a student can say, “I like sushi. You?” If they can ask, “Where is the toilet?” when they’re pressed, they’ve got more success than someone who has 50 verbs memorized but can’t use them.

Conclusion

English is NOT physics. It’s not about solving problems on paper; it’s about expressing thoughts and being understood, building relationships and making life easier in an everchanging global world. If we want our students to thrive, as well as keep being interested in improving and using English long after moving on from our lessons together, we need to stop treating the language like a set of scientific formulas and start treating it like what it truly is: a human skill.

Let’s make the classroom a space of interaction and communication, not calculation.


Content extracted and adapted from: https://www.hltmag.co.uk/oct25/english-should-not-be-taught-like-it-sphysics
The expression “zero fear of making mistakes”, extracted from Text 2, emphasizes the importance of:
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Q3747551 Inglês
TEXT 2

English Should Not Be Taught Like It’s Physics: Rethinking How We Teach Beginner Level Learners

Introduction


When teaching English to beginner-level learners, one of the biggest mistakes we make is treating the language like a set of scientific formulas to be memorized. In the quintessential classroom of traditional, test-focused educational systems, English is often taught as though it were physics; it’s rigid, theoretical, and abstract. Language, however, is a far cry from the aforementioned descriptions. Language is dynamic, flexible, and has a certain “feel” to it.

The problem with the “Physics” Approach

Picture this: you walk into a physics class and sit down. Immediately, all sorts of theories, equations, and vocabulary you’ve never heard before are being thrown at you without any context. Doesn’t feel good, does it? That’s how many beginner-level English learners feel. This method relies heavily on grammar drills, vocabulary lists, and some pretty unnatural textbook dialogues. Learners may know the structure of the present perfect tense, but they choke when asked, “How was your weekend?” Why? Because they’ve been trained to decode language like a formula; not use it as a tool for expression.

What language really is

Language is instinctive. We don’t learn our first language by studying grammar rules, but rather through interaction, repetition, and real-life use. Babies don’t sit down with textbooks in their lap. They listen, observe, repeat, and gradually experiment; with zero fear of making mistakes. This is how language sticks. For beginner-level learners, especially adults, we need to replicate that natural process as much as possible. The focus should shift from knowledge about the language to using the language. There should also be some emphasis on making sure the process is enjoyable.

Rethinking success

We need to redefine what success looks like in beginner English classes. It’s not about perfect grammar. It’s about confidence, connection, and the ability to navigate simple conversations. It’s about the listener’s ability to understand what is being said by the speaker and vice-versa. I remember when I’d tease my grandma for mispronouncing words (for example, she’d say “brade” instead of “blade”), and her retort would be, “You understood me though, didn’t you?!”

It’s a win if a student can say, “I like sushi. You?” If they can ask, “Where is the toilet?” when they’re pressed, they’ve got more success than someone who has 50 verbs memorized but can’t use them.

Conclusion

English is NOT physics. It’s not about solving problems on paper; it’s about expressing thoughts and being understood, building relationships and making life easier in an everchanging global world. If we want our students to thrive, as well as keep being interested in improving and using English long after moving on from our lessons together, we need to stop treating the language like a set of scientific formulas and start treating it like what it truly is: a human skill.

Let’s make the classroom a space of interaction and communication, not calculation.


Content extracted and adapted from: https://www.hltmag.co.uk/oct25/english-should-not-be-taught-like-it-sphysics
Consider this sentence extracted from Text 2: “Learners may know the structure of the present perfect tense”. Now, preserving its original meaning and use in the given context, choose the option that correctly classify the underlined word (“may”):
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Q3747550 Inglês
TEXT 2

English Should Not Be Taught Like It’s Physics: Rethinking How We Teach Beginner Level Learners

Introduction


When teaching English to beginner-level learners, one of the biggest mistakes we make is treating the language like a set of scientific formulas to be memorized. In the quintessential classroom of traditional, test-focused educational systems, English is often taught as though it were physics; it’s rigid, theoretical, and abstract. Language, however, is a far cry from the aforementioned descriptions. Language is dynamic, flexible, and has a certain “feel” to it.

The problem with the “Physics” Approach

Picture this: you walk into a physics class and sit down. Immediately, all sorts of theories, equations, and vocabulary you’ve never heard before are being thrown at you without any context. Doesn’t feel good, does it? That’s how many beginner-level English learners feel. This method relies heavily on grammar drills, vocabulary lists, and some pretty unnatural textbook dialogues. Learners may know the structure of the present perfect tense, but they choke when asked, “How was your weekend?” Why? Because they’ve been trained to decode language like a formula; not use it as a tool for expression.

What language really is

Language is instinctive. We don’t learn our first language by studying grammar rules, but rather through interaction, repetition, and real-life use. Babies don’t sit down with textbooks in their lap. They listen, observe, repeat, and gradually experiment; with zero fear of making mistakes. This is how language sticks. For beginner-level learners, especially adults, we need to replicate that natural process as much as possible. The focus should shift from knowledge about the language to using the language. There should also be some emphasis on making sure the process is enjoyable.

Rethinking success

We need to redefine what success looks like in beginner English classes. It’s not about perfect grammar. It’s about confidence, connection, and the ability to navigate simple conversations. It’s about the listener’s ability to understand what is being said by the speaker and vice-versa. I remember when I’d tease my grandma for mispronouncing words (for example, she’d say “brade” instead of “blade”), and her retort would be, “You understood me though, didn’t you?!”

It’s a win if a student can say, “I like sushi. You?” If they can ask, “Where is the toilet?” when they’re pressed, they’ve got more success than someone who has 50 verbs memorized but can’t use them.

Conclusion

English is NOT physics. It’s not about solving problems on paper; it’s about expressing thoughts and being understood, building relationships and making life easier in an everchanging global world. If we want our students to thrive, as well as keep being interested in improving and using English long after moving on from our lessons together, we need to stop treating the language like a set of scientific formulas and start treating it like what it truly is: a human skill.

Let’s make the classroom a space of interaction and communication, not calculation.


Content extracted and adapted from: https://www.hltmag.co.uk/oct25/english-should-not-be-taught-like-it-sphysics
Consider the following excerpt extracted from Text 2: “This is how language sticks”. Now, choose the alternative that correctly corresponds to the topic(s) in which it is associated in its original context:
Alternativas
Respostas
2761: C
2762: B
2763: D
2764: C
2765: B
2766: B
2767: D
2768: C
2769: A
2770: D
2771: C
2772: A
2773: B
2774: A
2775: D
2776: A
2777: A
2778: C
2779: A
2780: B