NeuroEnglishMMP
PAGS MODEL 82 · SMART HARVEST:
AI, Insect Farming & Sustainable Tech
New Specialization Courses • Preparation for PAGS 2026/2027
PAGS English Mock Exam 82 • AI, Insect Farming & Sustainable Technology.
RADIOGRAFÍA DEL EXAMEN
01. EL FACTOR TIEMPO
Dispones de 40 minutos. Usa el Scanning: busca datos técnicos del texto sin leerlo todo palabra por palabra.
02. EL PODER DEL DESCARTE
En el tipo test, tacha las opciones extremas. Las respuestas correctas suelen ser equilibradas y factuales.
03. TRAMPAS "SPANGLISH"
Ojo con Actually (en realidad). Consulta el blog para evitar calcos del español.
False Friends Logic04. ESTRATEGIA LISTENING
Lee las preguntas antes del audio. Localiza cifras y nombres propios de autores.
CHOOSE the correct answer:
1. Regarding professional development, ______ that emerging industries require specialised technicians.
2. New specialisation courses can ______ interest in digital transformation and AI.
3. Before the new training programmes were introduced, students ______ the importance of specialised training for years.
4. The skills shortage ______ reduced if more resources had been invested in technical workshops years ago.
6. Experts suggest implementing Dual Training ______ students can feel prepared for the industry.
11. Some institutions used to focus on traditional production while they ______ practical AI applications.
Listening Task: Future Skills & Sustainable Farming
Listen to a fictionalised report about emerging technologies and vocational skills. You may listen up to three times.
13. What kind of workers do emerging industries increasingly need, according to the podcast?
14. What is proposed in the fictional scenario?
15. What can Dual Training programmes help students do?
16. What can sometimes damage students' motivation in the scenario?
READ the text and answer the next questions:
SMART HARVEST: AI, INSECT FARMING AND FUTURE SKILLS
Artificial intelligence and sustainable agriculture are becoming increasingly relevant to vocational education. In this exam scenario, emerging industries require specialised technicians with skills in data management, automation and responsible food production. Traditional university degrees remain one route into these fields, while Vocational Education and Training can provide hands-on learning connected to specific occupations. New specialisation programmes can therefore trigger interest in digital transformation and encourage students to explore less familiar career paths.
One emerging field is the combination of Machine Learning and insect farming. Before these kinds of training opportunities became more visible, many learners had overlooked specialised preparation for years. Insect farming can involve the controlled rearing of insects for purposes such as animal feed and, where regulations permit, food production. Digital systems may help monitor environmental conditions and improve resource efficiency. Besides, experts often recommend Dual Training programmes so that students can connect technical knowledge with real workplace experience. If more resources had been invested in specialised workshops earlier, some skills shortages might have been reduced.
In spite of these opportunities, some regions and training centres may still struggle with investment in emerging technologies. Some institutions used to focus mainly on traditional production while they were ignoring practical applications of artificial intelligence. Modernising educational approaches is therefore essential to improve career guidance and help learners understand new professional profiles. In the scenario, experts said that the vocational situation had been challenging and wondered whether current measures were enough to attract students to highly technical programmes.
They also suggested that some institutions must have overlooked the early potential of insect farming and data-driven agriculture. It is the lack of practical experimentation that can truly damage students' motivation when unfamiliar technologies are taught only in theory. If only more resources were available for technical workshops! Ultimately, however, innovation should be approached critically: combining scientific knowledge, sustainability, practical training and evidence-based decision-making can help prepare learners for the future.
Análisis Técnico de Estructuras
17. According to paragraph 1, what can vocational specialisation programmes provide?
18. What had many learners overlooked before emerging training opportunities became more visible?
19. Why does the author contrast traditional production with emerging technologies?
20. What is the text's final recommendation for preparing learners for the future?
SCORE / PUNTUACIÓN
0.0 / 10.0
No hay comentarios:
Publicar un comentario