Questões de Concurso
Foram encontradas 231.397 questões
Resolva questões gratuitamente!
Junte-se a mais de 4 milhões de concurseiros!
Leia os dois excertos a seguir para responder à questão:
A BNCC prioriza o foco da função social e política da língua inglesa e, nesse sentido, passa a tratá-la em seu status de língua franca. Nessa perspectiva, são acolhidos e legitimados os usos que dela fazem falantes espalhados no mundo inteiro, com diferentes repertórios linguísticos e culturais, o que possibilita, por exemplo, questionar a visão de que o único inglês “correto” – e a ser ensinado – é aquele falado por estadunidenses ou britânicos. Mais ainda, o tratamento do inglês como língua franca o desvincula da noção de pertencimento a um determinado território e, consequentemente, a culturas típicas de comunidades específicas, legitimando os usos da língua inglesa em seus contextos locais. Esse entendimento favorece uma educação linguística voltada para a interculturalidade.
(BRASIL. Base Nacional Comum Curricular. 2019. Adaptado)
Em uma entrevista, o linguista Kanavilil Rajagopalan afirma que “A língua inglesa, já há um bom tempo, deixou de ser propriedade desse ou daquele país. Em sua condição de língua internacional, a língua falada hoje por quase um terço dos seres humanos do planeta, não faz o menor sentido falarmos em falantes nativos. Essa língua, esse “fenômeno linguístico”, na verdade pertence a todos que dela fazem algum uso no seu dia a dia, por mais restrito que ele seja (como ouvir música ou ler manuais de instrução). Como professores de inglês, é nosso dever preparar nossos alunos para serem cidadãos do mundo novo que se descortina diante de nossos olhos. Para atuar nesse admirável mundo novo, os nossos alunos têm de aprender a lidar com todas as formas de inglês.”
(RAJAGOPALAN, K. O inglês como língua internacional na prática docente. In: LIMA, D.C. (Org.). Ensino e aprendizagem. São Paulo: Parábola Editorial, 2009. pp. 39; 41; 45. Adaptado)
Leia o texto a seguir para responder à questão:
In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in “capsules” surrounded by 360-degree digital screens. Adults walk around but do not talk to the students. Instead, each child interacts only with a sophisticated artificial intelligence (AI). Although this is not the reality in today’s classrooms on Earth, there are people for whom a vision of personalized learning conducted by artificial intelligence has considerable appeal.
Individualized learning has its place. But decades of educational research also demonstrate that learning is essentially a social endeavor. Classrooms that privilege personalized AI chatbots overlook that fact.
Generative AI is quickly coming to classrooms. If decades ago educators worldwide promoted the benefits of “One Laptop per Child”, today we may be approaching the model “one chatbot per child.” What does educational research tell us about what this model could mean for children’s learning and well-being?
During much of the 20th century, learning was understood as mainly as a matter of individual cognition. A misconception, if compared to today’s comprehension of what learning involves. Scientists now understand that apparently individual processes – such as building new knowledge – are actually social interactions with the world around us. In classrooms, this suggests that opportunities for daily personal interaction can strongly support brain health and academic learning.
Therefore, it is important to understand generative AI’s real-life impact on students.
For example: How does it feel to learn from a chatbot, day after day? How will long-term use of AI affect children’s mental health? How does AI use affect children’s relationships with each other and with their teachers? What kinds of relationships might children form with the chatbots themselves? More broadly, we could also ask: What do we, as a society, actually want children to learn?
Good teaching and learning blends social and individual processes. I see the beneficial application of any new technology in the classroom – AI or otherwise – as a way to build upon the social fabric of human learning. My concern about personalized AI tutors is how they might displace already infrequent opportunities for social interaction, further isolating children in classrooms.
(Niral Shah. www.converstion.com, 15.12.2025. Adaptado)
A post-reading discussion aimed at encouraging participants to critically react to the author’s views on the topic could include their reflecting on
Leia o texto a seguir para responder à questão:
In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in “capsules” surrounded by 360-degree digital screens. Adults walk around but do not talk to the students. Instead, each child interacts only with a sophisticated artificial intelligence (AI). Although this is not the reality in today’s classrooms on Earth, there are people for whom a vision of personalized learning conducted by artificial intelligence has considerable appeal.
Individualized learning has its place. But decades of educational research also demonstrate that learning is essentially a social endeavor. Classrooms that privilege personalized AI chatbots overlook that fact.
Generative AI is quickly coming to classrooms. If decades ago educators worldwide promoted the benefits of “One Laptop per Child”, today we may be approaching the model “one chatbot per child.” What does educational research tell us about what this model could mean for children’s learning and well-being?
During much of the 20th century, learning was understood as mainly as a matter of individual cognition. A misconception, if compared to today’s comprehension of what learning involves. Scientists now understand that apparently individual processes – such as building new knowledge – are actually social interactions with the world around us. In classrooms, this suggests that opportunities for daily personal interaction can strongly support brain health and academic learning.
Therefore, it is important to understand generative AI’s real-life impact on students.
For example: How does it feel to learn from a chatbot, day after day? How will long-term use of AI affect children’s mental health? How does AI use affect children’s relationships with each other and with their teachers? What kinds of relationships might children form with the chatbots themselves? More broadly, we could also ask: What do we, as a society, actually want children to learn?
Good teaching and learning blends social and individual processes. I see the beneficial application of any new technology in the classroom – AI or otherwise – as a way to build upon the social fabric of human learning. My concern about personalized AI tutors is how they might displace already infrequent opportunities for social interaction, further isolating children in classrooms.
(Niral Shah. www.converstion.com, 15.12.2025. Adaptado)
The five direct questions in the fifth paragraph have been rewritten as indirect questions.
The only correct pair of sentences is found in alternative:
Leia o texto a seguir para responder à questão:
In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in “capsules” surrounded by 360-degree digital screens. Adults walk around but do not talk to the students. Instead, each child interacts only with a sophisticated artificial intelligence (AI). Although this is not the reality in today’s classrooms on Earth, there are people for whom a vision of personalized learning conducted by artificial intelligence has considerable appeal.
Individualized learning has its place. But decades of educational research also demonstrate that learning is essentially a social endeavor. Classrooms that privilege personalized AI chatbots overlook that fact.
Generative AI is quickly coming to classrooms. If decades ago educators worldwide promoted the benefits of “One Laptop per Child”, today we may be approaching the model “one chatbot per child.” What does educational research tell us about what this model could mean for children’s learning and well-being?
During much of the 20th century, learning was understood as mainly as a matter of individual cognition. A misconception, if compared to today’s comprehension of what learning involves. Scientists now understand that apparently individual processes – such as building new knowledge – are actually social interactions with the world around us. In classrooms, this suggests that opportunities for daily personal interaction can strongly support brain health and academic learning.
Therefore, it is important to understand generative AI’s real-life impact on students.
For example: How does it feel to learn from a chatbot, day after day? How will long-term use of AI affect children’s mental health? How does AI use affect children’s relationships with each other and with their teachers? What kinds of relationships might children form with the chatbots themselves? More broadly, we could also ask: What do we, as a society, actually want children to learn?
Good teaching and learning blends social and individual processes. I see the beneficial application of any new technology in the classroom – AI or otherwise – as a way to build upon the social fabric of human learning. My concern about personalized AI tutors is how they might displace already infrequent opportunities for social interaction, further isolating children in classrooms.
(Niral Shah. www.converstion.com, 15.12.2025. Adaptado)
Leia o texto a seguir para responder à questão:
In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in “capsules” surrounded by 360-degree digital screens. Adults walk around but do not talk to the students. Instead, each child interacts only with a sophisticated artificial intelligence (AI). Although this is not the reality in today’s classrooms on Earth, there are people for whom a vision of personalized learning conducted by artificial intelligence has considerable appeal.
Individualized learning has its place. But decades of educational research also demonstrate that learning is essentially a social endeavor. Classrooms that privilege personalized AI chatbots overlook that fact.
Generative AI is quickly coming to classrooms. If decades ago educators worldwide promoted the benefits of “One Laptop per Child”, today we may be approaching the model “one chatbot per child.” What does educational research tell us about what this model could mean for children’s learning and well-being?
During much of the 20th century, learning was understood as mainly as a matter of individual cognition. A misconception, if compared to today’s comprehension of what learning involves. Scientists now understand that apparently individual processes – such as building new knowledge – are actually social interactions with the world around us. In classrooms, this suggests that opportunities for daily personal interaction can strongly support brain health and academic learning.
Therefore, it is important to understand generative AI’s real-life impact on students.
For example: How does it feel to learn from a chatbot, day after day? How will long-term use of AI affect children’s mental health? How does AI use affect children’s relationships with each other and with their teachers? What kinds of relationships might children form with the chatbots themselves? More broadly, we could also ask: What do we, as a society, actually want children to learn?
Good teaching and learning blends social and individual processes. I see the beneficial application of any new technology in the classroom – AI or otherwise – as a way to build upon the social fabric of human learning. My concern about personalized AI tutors is how they might displace already infrequent opportunities for social interaction, further isolating children in classrooms.
(Niral Shah. www.converstion.com, 15.12.2025. Adaptado)
During much of the 20th century, learning was understood mainly as a matter of individual cognition. In contrast, scientists now understand that apparently individual processes – such as building new knowledge – are actually social interactions with the world around us. In classrooms, this suggests that opportunities for daily personal interaction can strongly support brain health and academic learning. (paragraph 4)
Leia o texto a seguir para responder à questão:
In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in “capsules” surrounded by 360-degree digital screens. Adults walk around but do not talk to the students. Instead, each child interacts only with a sophisticated artificial intelligence (AI). Although this is not the reality in today’s classrooms on Earth, there are people for whom a vision of personalized learning conducted by artificial intelligence has considerable appeal.
Individualized learning has its place. But decades of educational research also demonstrate that learning is essentially a social endeavor. Classrooms that privilege personalized AI chatbots overlook that fact.
Generative AI is quickly coming to classrooms. If decades ago educators worldwide promoted the benefits of “One Laptop per Child”, today we may be approaching the model “one chatbot per child.” What does educational research tell us about what this model could mean for children’s learning and well-being?
During much of the 20th century, learning was understood as mainly as a matter of individual cognition. A misconception, if compared to today’s comprehension of what learning involves. Scientists now understand that apparently individual processes – such as building new knowledge – are actually social interactions with the world around us. In classrooms, this suggests that opportunities for daily personal interaction can strongly support brain health and academic learning.
Therefore, it is important to understand generative AI’s real-life impact on students.
For example: How does it feel to learn from a chatbot, day after day? How will long-term use of AI affect children’s mental health? How does AI use affect children’s relationships with each other and with their teachers? What kinds of relationships might children form with the chatbots themselves? More broadly, we could also ask: What do we, as a society, actually want children to learn?
Good teaching and learning blends social and individual processes. I see the beneficial application of any new technology in the classroom – AI or otherwise – as a way to build upon the social fabric of human learning. My concern about personalized AI tutors is how they might displace already infrequent opportunities for social interaction, further isolating children in classrooms.
(Niral Shah. www.converstion.com, 15.12.2025. Adaptado)
Leia o texto a seguir para responder à questão:
In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in “capsules” surrounded by 360-degree digital screens. Adults walk around but do not talk to the students. Instead, each child interacts only with a sophisticated artificial intelligence (AI). Although this is not the reality in today’s classrooms on Earth, there are people for whom a vision of personalized learning conducted by artificial intelligence has considerable appeal.
Individualized learning has its place. But decades of educational research also demonstrate that learning is essentially a social endeavor. Classrooms that privilege personalized AI chatbots overlook that fact.
Generative AI is quickly coming to classrooms. If decades ago educators worldwide promoted the benefits of “One Laptop per Child”, today we may be approaching the model “one chatbot per child.” What does educational research tell us about what this model could mean for children’s learning and well-being?
During much of the 20th century, learning was understood as mainly as a matter of individual cognition. A misconception, if compared to today’s comprehension of what learning involves. Scientists now understand that apparently individual processes – such as building new knowledge – are actually social interactions with the world around us. In classrooms, this suggests that opportunities for daily personal interaction can strongly support brain health and academic learning.
Therefore, it is important to understand generative AI’s real-life impact on students.
For example: How does it feel to learn from a chatbot, day after day? How will long-term use of AI affect children’s mental health? How does AI use affect children’s relationships with each other and with their teachers? What kinds of relationships might children form with the chatbots themselves? More broadly, we could also ask: What do we, as a society, actually want children to learn?
Good teaching and learning blends social and individual processes. I see the beneficial application of any new technology in the classroom – AI or otherwise – as a way to build upon the social fabric of human learning. My concern about personalized AI tutors is how they might displace already infrequent opportunities for social interaction, further isolating children in classrooms.
(Niral Shah. www.converstion.com, 15.12.2025. Adaptado)
Leia o texto a seguir para responder à questão:
In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in “capsules” surrounded by 360-degree digital screens. Adults walk around but do not talk to the students. Instead, each child interacts only with a sophisticated artificial intelligence (AI). Although this is not the reality in today’s classrooms on Earth, there are people for whom a vision of personalized learning conducted by artificial intelligence has considerable appeal.
Individualized learning has its place. But decades of educational research also demonstrate that learning is essentially a social endeavor. Classrooms that privilege personalized AI chatbots overlook that fact.
Generative AI is quickly coming to classrooms. If decades ago educators worldwide promoted the benefits of “One Laptop per Child”, today we may be approaching the model “one chatbot per child.” What does educational research tell us about what this model could mean for children’s learning and well-being?
During much of the 20th century, learning was understood as mainly as a matter of individual cognition. A misconception, if compared to today’s comprehension of what learning involves. Scientists now understand that apparently individual processes – such as building new knowledge – are actually social interactions with the world around us. In classrooms, this suggests that opportunities for daily personal interaction can strongly support brain health and academic learning.
Therefore, it is important to understand generative AI’s real-life impact on students.
For example: How does it feel to learn from a chatbot, day after day? How will long-term use of AI affect children’s mental health? How does AI use affect children’s relationships with each other and with their teachers? What kinds of relationships might children form with the chatbots themselves? More broadly, we could also ask: What do we, as a society, actually want children to learn?
Good teaching and learning blends social and individual processes. I see the beneficial application of any new technology in the classroom – AI or otherwise – as a way to build upon the social fabric of human learning. My concern about personalized AI tutors is how they might displace already infrequent opportunities for social interaction, further isolating children in classrooms.
(Niral Shah. www.converstion.com, 15.12.2025. Adaptado)
Conheça nossos planos