Read the text and answer question.

Education in a language which is not the first language of the learner is as old as education itself. As individuals from different language groups have lived together, some have been educated in an additional language. This is as true of Ancient Rome as it is of the increasingly multilingual societies being created through mobility and globalization in the 21th century.

Two thousand years ago, provision of an educational curriculum in an additional language happened as the Roman Empire expanded and absorbed Greek territory, language and culture. Families in Rome educated their children in Greek to ensure that they would have access to not only the language, but also the social and professional opportunities it would provide for them in their future lives, including living in Greek-speaking educational communities. This historical experience has been replicated across the world through the centuries, and is now particularly true of the global uptake of English language learning.

Researchers and educators have sought new practices in education that will suit the demands of the present day. Globalization and the forces of economic and social convergence have had a significant impact on who learns which language, at what stage in their development, and in which way. The driving forces for language learning differ according to country and region, but they share the objective of wanting to achieve the best possible results in the shortest time. This need has often dovetailed with the need to adapt content-teaching methodologies so as to raise overall levels of proficiency.

(COYLE, Do; HOOD, Philip; MARSH, David. 2010. Adaptado)

Read the text and answer question.

Education in a language which is not the first language of the learner is as old as education itself. As individuals from different language groups have lived together, some have been educated in an additional language. This is as true of Ancient Rome as it is of the increasingly multilingual societies being created through mobility and globalization in the 21th century.

Two thousand years ago, provision of an educational curriculum in an additional language happened as the Roman Empire expanded and absorbed Greek territory, language and culture. Families in Rome educated their children in Greek to ensure that they would have access to not only the language, but also the social and professional opportunities it would provide for them in their future lives, including living in Greek-speaking educational communities. This historical experience has been replicated across the world through the centuries, and is now particularly true of the global uptake of English language learning.

Researchers and educators have sought new practices in education that will suit the demands of the present day. Globalization and the forces of economic and social convergence have had a significant impact on who learns which language, at what stage in their development, and in which way. The driving forces for language learning differ according to country and region, but they share the objective of wanting to achieve the best possible results in the shortest time. This need has often dovetailed with the need to adapt content-teaching methodologies so as to raise overall levels of proficiency.

(COYLE, Do; HOOD, Philip; MARSH, David. 2010. Adaptado)

Text for questions 12 to 15.

Just a few years ago, we spoke of Artificial Intelligence’s (AI’s) promise; today, it has become a tangible reality. In addressing the complexities of global healthcare challenges, AI is emerging not just as a tool but as a transformative force reshaping healthcare delivery.

The advancements in AI technology present unprecedented opportunities to revolutionise healthcare, making it more effective, accessible, and economically sustainable. By fostering the integration of AI through appropriate policies, we can enhance equity, improve care, and ensure that new technologies, treatments, and medicines benefit society at large.

AI can facilitate the efficient allocation of healthcare resources. Predictive modelling can forecast patient admissions and optimise the use of hospital beds, staff, and equipment. This ensures resources are available where and when needed most, reducing waste and enhancing the quality of care.

AI also has the potential to tackle some of the most pressing challenges in healthcare, such as rising costs, inefficiencies, and the demand for higher-quality care. It can reduce costs and streamline administrative tasks like patient scheduling, billing, and electronic health records management by automating and optimising operations. This can free healthcare professionals to focus more on patient care.

In diagnostics, AI enhances accuracy and enables earlier detection, often leading to less invasive and more cost-effective treatment options.

In general, AI is transforming the pharmaceutical sector across the entire lifecycle of medicines, from medicinal product discovery and development to pharmacokinetics, evaluation, manufacturing, marketing, approval, and pharmacovigilance.

In medicines discovery, AI accelerates the process by identifying targets and optimising the design of medicinal products. During development, AI enhances formulations and facilitates personalised medicines. In pharmacokinetics, AI-driven predictions help determine optimal dosing, while in clinical trials, AI assists with patient stratification, digital twins, and trial simulations.

As we integrate AI into healthcare, we must remain focused on the overarching goal: leveraging this transformative technology to deliver equitable, high-quality care to all. With the right policies and innovations, AI has the potential to drive a healthier, more sustainable future for everyone.

Internet: <health.ec.europa.eu> (adapted).

Text for questions 12 to 15.

Just a few years ago, we spoke of Artificial Intelligence’s (AI’s) promise; today, it has become a tangible reality. In addressing the complexities of global healthcare challenges, AI is emerging not just as a tool but as a transformative force reshaping healthcare delivery.

The advancements in AI technology present unprecedented opportunities to revolutionise healthcare, making it more effective, accessible, and economically sustainable. By fostering the integration of AI through appropriate policies, we can enhance equity, improve care, and ensure that new technologies, treatments, and medicines benefit society at large.

AI can facilitate the efficient allocation of healthcare resources. Predictive modelling can forecast patient admissions and optimise the use of hospital beds, staff, and equipment. This ensures resources are available where and when needed most, reducing waste and enhancing the quality of care.

AI also has the potential to tackle some of the most pressing challenges in healthcare, such as rising costs, inefficiencies, and the demand for higher-quality care. It can reduce costs and streamline administrative tasks like patient scheduling, billing, and electronic health records management by automating and optimising operations. This can free healthcare professionals to focus more on patient care.

In diagnostics, AI enhances accuracy and enables earlier detection, often leading to less invasive and more cost-effective treatment options.

In general, AI is transforming the pharmaceutical sector across the entire lifecycle of medicines, from medicinal product discovery and development to pharmacokinetics, evaluation, manufacturing, marketing, approval, and pharmacovigilance.

In medicines discovery, AI accelerates the process by identifying targets and optimising the design of medicinal products. During development, AI enhances formulations and facilitates personalised medicines. In pharmacokinetics, AI-driven predictions help determine optimal dosing, while in clinical trials, AI assists with patient stratification, digital twins, and trial simulations.

As we integrate AI into healthcare, we must remain focused on the overarching goal: leveraging this transformative technology to deliver equitable, high-quality care to all. With the right policies and innovations, AI has the potential to drive a healthier, more sustainable future for everyone.

Internet: <health.ec.europa.eu> (adapted).

Text for questions 12 to 15.

Just a few years ago, we spoke of Artificial Intelligence’s (AI’s) promise; today, it has become a tangible reality. In addressing the complexities of global healthcare challenges, AI is emerging not just as a tool but as a transformative force reshaping healthcare delivery.

The advancements in AI technology present unprecedented opportunities to revolutionise healthcare, making it more effective, accessible, and economically sustainable. By fostering the integration of AI through appropriate policies, we can enhance equity, improve care, and ensure that new technologies, treatments, and medicines benefit society at large.

AI can facilitate the efficient allocation of healthcare resources. Predictive modelling can forecast patient admissions and optimise the use of hospital beds, staff, and equipment. This ensures resources are available where and when needed most, reducing waste and enhancing the quality of care.

AI also has the potential to tackle some of the most pressing challenges in healthcare, such as rising costs, inefficiencies, and the demand for higher-quality care. It can reduce costs and streamline administrative tasks like patient scheduling, billing, and electronic health records management by automating and optimising operations. This can free healthcare professionals to focus more on patient care.

In diagnostics, AI enhances accuracy and enables earlier detection, often leading to less invasive and more cost-effective treatment options.

In general, AI is transforming the pharmaceutical sector across the entire lifecycle of medicines, from medicinal product discovery and development to pharmacokinetics, evaluation, manufacturing, marketing, approval, and pharmacovigilance.

In medicines discovery, AI accelerates the process by identifying targets and optimising the design of medicinal products. During development, AI enhances formulations and facilitates personalised medicines. In pharmacokinetics, AI-driven predictions help determine optimal dosing, while in clinical trials, AI assists with patient stratification, digital twins, and trial simulations.

As we integrate AI into healthcare, we must remain focused on the overarching goal: leveraging this transformative technology to deliver equitable, high-quality care to all. With the right policies and innovations, AI has the potential to drive a healthier, more sustainable future for everyone.

Internet: <health.ec.europa.eu> (adapted).

Text for questions 12 to 15.

Just a few years ago, we spoke of Artificial Intelligence’s (AI’s) promise; today, it has become a tangible reality. In addressing the complexities of global healthcare challenges, AI is emerging not just as a tool but as a transformative force reshaping healthcare delivery.

The advancements in AI technology present unprecedented opportunities to revolutionise healthcare, making it more effective, accessible, and economically sustainable. By fostering the integration of AI through appropriate policies, we can enhance equity, improve care, and ensure that new technologies, treatments, and medicines benefit society at large.

AI can facilitate the efficient allocation of healthcare resources. Predictive modelling can forecast patient admissions and optimise the use of hospital beds, staff, and equipment. This ensures resources are available where and when needed most, reducing waste and enhancing the quality of care.

AI also has the potential to tackle some of the most pressing challenges in healthcare, such as rising costs, inefficiencies, and the demand for higher-quality care. It can reduce costs and streamline administrative tasks like patient scheduling, billing, and electronic health records management by automating and optimising operations. This can free healthcare professionals to focus more on patient care.

In diagnostics, AI enhances accuracy and enables earlier detection, often leading to less invasive and more cost-effective treatment options.

In general, AI is transforming the pharmaceutical sector across the entire lifecycle of medicines, from medicinal product discovery and development to pharmacokinetics, evaluation, manufacturing, marketing, approval, and pharmacovigilance.

In medicines discovery, AI accelerates the process by identifying targets and optimising the design of medicinal products. During development, AI enhances formulations and facilitates personalised medicines. In pharmacokinetics, AI-driven predictions help determine optimal dosing, while in clinical trials, AI assists with patient stratification, digital twins, and trial simulations.

As we integrate AI into healthcare, we must remain focused on the overarching goal: leveraging this transformative technology to deliver equitable, high-quality care to all. With the right policies and innovations, AI has the potential to drive a healthier, more sustainable future for everyone.

Internet: <health.ec.europa.eu> (adapted).