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        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)

READ TEXT III AND ANSWER THE  QUESTION THAT FOLLOW

TEXT III

ELF and the Brazilian National Core Curriculum

The current Brazilian National Core Curriculum (BNCC) adopts English as a Lingua Franca (ELF) as a guiding concept for English Language Teaching (ELT) across the country’s basic education system. While the measure has sparked debate and controversy, ELF’s inclusion in the document is generally seen as an innovative step. However, its implementation has brought significant challenges, especially for teachers who often lack a clear understanding of the concept or how to incorporate ELF-aware practices into their classrooms. These challenges underscore the pivotal role of teacher education in effectively integrating ELF into ELT in local contexts.

Adapted from: https://periodicos.ufrb.edu.br

Read text I and answer the  question that follow it.

TEXT I

The Growing Complexity of Airspace

        The aviation industry has witnessed unprecedented growth in recent years. The number of flights, both commercial and private, has surged, resulting in a more congested airspace. This increased traffic volume places immense strain on air traffic controllers, who must manage a complex web of aircraft movements with precision and efficiency.

        Moreover, the integration of unmanned aerial vehicles (UAVs or drones) into the airspace adds another layer of complexity. While drones offer various benefits, their unregulated use poses significant risks to commercial aviation. Harmonizing the operations of manned and unmanned aircraft is a major challenge that requires careful consideration and robust regulations.

        Despite advancements in aviation technology, the air traffic control system still relies heavily on outdated infrastructure and systems. Many air traffic control centers operate with aging equipment that is prone to failures and lacks the capacity to handle the increasing volume of traffic. This infrastructure gap can lead to delays, inefficiencies, and safety concerns.

         Furthermore, the integration of new technologies, such as advanced automation and data analytics, has been slow. While these technologies hold the potential to revolutionize air traffic management, their implementation has been hindered by various factors, including cost, interoperability, and cybersecurity concerns.

        Air traffic control is a high-pressure job that demands exceptional focus, decision-making skills, and situational awareness. While air traffic controllers undergo rigorous training, human error remains a significant risk factor. Factors such as fatigue, stress, and workload can contribute to mistakes that have serious consequences. […]

        The increasing reliance on technology in the aviation industry has made it a prime target for cyberattacks. Air traffic control systems are critical infrastructure and must be protected from malicious actors. A successful cyberattack could have catastrophic consequences, including loss of life and economic damage. […]

        Addressing the problems facing air traffic control requires a multi-faceted approach involving collaboration between government agencies, aviation industry stakeholders, and technology providers.

Adapted from https://birminghamjournal.co.uk/ problems-with-air-traffic-control-today/