Reading em inglês C1
Esse texto faz parte da nossa seleção de READING em inglês nível C1 autorais, para acessar a lista completa, clique aqui.
In recent years, artificial intelligence (AI) has rapidly shifted from a distant technological dream to an active force transforming modern education. Once limited to experimental labs and theoretical discussions, AI now supports students and teachers across classrooms and digital platforms worldwide. It is redefining how knowledge is delivered, assessed, and experienced. While many educators see AI as a powerful ally that enhances personalization and efficiency, others remain skeptical, warning that it could erode the very essence of human learning.
One of AI’s most remarkable contributions lies in personalized learning. Intelligent systems are capable of analyzing vast amounts of data from individual learners, adapting lessons in real time to fit their pace, style, and areas of weakness. For instance, an AI-powered writing tool can instantly detect grammatical errors, suggest improvements, and even provide stylistic feedback. This kind of tailored support allows students to correct mistakes immediately, reinforcing understanding and promoting self-directed learning. It also enables teachers to identify where learners struggle most, allowing for more targeted intervention.
Beyond personalization, AI improves efficiency across educational systems. It automates repetitive administrative tasks—grading assignments, recording attendance, and organizing materials—thus freeing teachers to focus on mentoring and fostering higher-order thinking. In universities, AI can even help design curricula by analyzing student performance trends and suggesting content adjustments. Such applications highlight AI’s potential not only to support learning but to revolutionize institutional planning and decision-making.
Nevertheless, the integration of AI introduces a complex range of ethical and social challenges. Concerns about data privacy, algorithmic bias, and overdependence on technology are growing louder. Schools must grapple with difficult questions: How much student data should be collected? Who is accountable when an AI tool makes an incorrect or biased recommendation? And how can educators ensure that technology complements rather than replaces human interaction? Critics argue that, while AI can process information with astonishing precision, it cannot replicate empathy, intuition, or creativity—the very qualities that make teaching a profoundly human endeavor.
Looking forward, AI’s influence on education seems certain to expand. The key will not be to resist technological progress but to integrate it responsibly. Most experts agree that AI should act as a partner rather than a replacement—augmenting teachers’ abilities and supporting students’ diverse learning needs. When balanced thoughtfully, AI can make education more adaptive, accessible, and engaging while preserving the irreplaceable human connection at its heart.
| Word / Expression | Meaning | Example Sentence |
|---|---|---|
| transforming | causing a major change in form or nature | AI is transforming the way students learn and teachers work. |
| redefining | giving a new or different meaning to something | Technology is redefining what it means to be an effective teacher. |
| skeptical | not easily convinced; having doubts | Some educators remain skeptical about the role of AI in education. |
| essence | the most important or fundamental quality of something | Empathy and creativity form the essence of good teaching. |
| personalized learning | education tailored to individual students’ needs | AI enables personalized learning through adaptive feedback. |
| self-directed learning | learning that is controlled and managed by the student | AI tools can encourage more self-directed learning. |
| intervention | action taken to improve a situation | Teachers can plan better interventions when AI identifies learning gaps. |
| efficiency | the ability to do something well without wasting time or effort | AI increases efficiency by automating repetitive tasks. |
| administrative tasks | routine management duties (like grading or attendance) | Automating administrative tasks saves teachers valuable time. |
| curricula | plural of curriculum; the subjects taught in a school or course | Universities use AI to adjust curricula based on student data. |
| algorithmic bias | unfair outcomes caused by biased AI data or design | Algorithmic bias can lead to discrimination in automated grading. |
| overdependence | excessive reliance on something | Overdependence on AI could reduce students’ critical thinking. |
| accountable | responsible for something or someone | Who is accountable if the AI provides incorrect feedback? |
| replicate | to copy or reproduce exactly | Machines can replicate results, but not human intuition. |
| intuition | the ability to understand something instinctively | Good teachers rely on both data and intuition when guiding students. |
| augmenting | making something greater by adding to it | AI is augmenting teachers’ abilities, not replacing them. |
| accessible | easy to reach or use; available to everyone | AI can make education more accessible for students with disabilities. |
| ethical | relating to what is morally right or wrong | The use of student data must follow strict ethical standards. |
| integration | the process of combining different elements into one system | Successful AI integration requires training and transparency. |
| engaging | interesting and attention-catching | AI can help design more engaging learning experiences. |
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