问答题 20分

根据题目要求完成下列任务。用中文作答。 下面是某初中课堂实录的教学片段。 T: Ok! Next, let′s read the text and choose the best heading for each paragraph. Read the passage and choose the best heading for each paragraph. (5 minutes later) T: Now, who can show us the answer? S1: B, A, C,F, E. T: You are clever, but, do you have any other ideas for Paragraph 3? S1: Oh sorry, It′ s D. T: Excellent! Now we have known the main meaning of each paragraph. This time let′s read each paragraph carefully. Then, make a group discussion and try to fill in the form.10 minutes please. (10 minutes later.) T: Time is up. Which group wants to show your form to us? Ok, Group 1. S2: ... T: Well done. Do you agree with them? Ss: Yes! T: Ok, very good. 根据上面的信息,从下面三个方面作答: (1)分析该教师的教学目标。(10分) (2)该教学片段属于教学中的哪个环节?请评析教师在该片段中是如何实现其教学目标的。(10分) (3)请评析该教师的反馈方式。(10分)

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1 多选题 2分

Passage 1 Traffic lights are crucial tools for regulating traffic flow. They are not, however, perfect. Drivers exchange the gridlock that would happen at unmanaged junctions for a pattern of stop-go movement that can still be frustrating, and which burns more fuel than a smooth passage would. Creating such a smooth passage means adjusting a vehicle′s speed so that it always arrives at the lights when they are green. That is theoretically possible, but practically hard. Roadside signs wired to traffic lights may help, but they have not been widely deployed. Now scientists have an idea that could make the process cheaper and more effective. Instead of a hardwired network of signs, they propose to use mobile-phone apps. For a driver to benefit, he must load a special software, dubbed SignalGuru, into his phone and then mount it on a special bracket attached to the inside of his car′s windscreen, with the camera lens pointing forwards. SignalGuru is designed to detect traffic lights and track their status as red,amber or green. It broadcasts this information to other phones in the area that are fitted with the same software, and--if there are enough of them--the phones thus each know the status of most of the lights around town. Using this information, SignalGuru is able to calculate the traffic-light schedule for the region and suggest the speed at which a driver should travel in order to avoid running into red lights. Tests in Cambridge, Massachusetts, where five drivers were asked to follow the same route for three hours, and in Singapore, where eight drivers were asked to follow one of two routes for 30 minutes, revealed that SignalGuru was capable of predicting traffic-light activity with an accuracy of 98.2% and 96.3% respectively, in the two cities. This was particularly impressive because in Cambridge the lights shifted, roughly half-way through the test, from their off-peak schedule to their afternoon-traffic schedule, while in Singapore lights are adaptive, using detectors embedded under the road to determine how much traffic is around and thus when a signal should change. Fuel consumption fell, too--by about 20%. SignalGuru thus reduces both frustration and fuel use, and makes commuting a slightly less horrible experience. What do drivers do if they want to pass unmanaged junctions smoothly?

  • A.They must wait patiently until traffic lights turn green.
  • B.They need to help traffic police to regulate traffic flows.
  • C.They can drive through the red lights if nobody is aroun
  • D.They have to adjust the speed in time for the green lights.
2 多选题 2分

Passage 1 Traffic lights are crucial tools for regulating traffic flow. They are not, however, perfect. Drivers exchange the gridlock that would happen at unmanaged junctions for a pattern of stop-go movement that can still be frustrating, and which burns more fuel than a smooth passage would. Creating such a smooth passage means adjusting a vehicle′s speed so that it always arrives at the lights when they are green. That is theoretically possible, but practically hard. Roadside signs wired to traffic lights may help, but they have not been widely deployed. Now scientists have an idea that could make the process cheaper and more effective. Instead of a hardwired network of signs, they propose to use mobile-phone apps. For a driver to benefit, he must load a special software, dubbed SignalGuru, into his phone and then mount it on a special bracket attached to the inside of his car′s windscreen, with the camera lens pointing forwards. SignalGuru is designed to detect traffic lights and track their status as red,amber or green. It broadcasts this information to other phones in the area that are fitted with the same software, and--if there are enough of them--the phones thus each know the status of most of the lights around town. Using this information, SignalGuru is able to calculate the traffic-light schedule for the region and suggest the speed at which a driver should travel in order to avoid running into red lights. Tests in Cambridge, Massachusetts, where five drivers were asked to follow the same route for three hours, and in Singapore, where eight drivers were asked to follow one of two routes for 30 minutes, revealed that SignalGuru was capable of predicting traffic-light activity with an accuracy of 98.2% and 96.3% respectively, in the two cities. This was particularly impressive because in Cambridge the lights shifted, roughly half-way through the test, from their off-peak schedule to their afternoon-traffic schedule, while in Singapore lights are adaptive, using detectors embedded under the road to determine how much traffic is around and thus when a signal should change. Fuel consumption fell, too--by about 20%. SignalGuru thus reduces both frustration and fuel use, and makes commuting a slightly less horrible experience. Roadside signs have not been widely deployed probably because _________.

  • A.it takes a lot of space to put them up
  • B.it is hard to wire them to traffic lights
  • C.they cost more money to install
  • D.they are less effective in bad weather
3 多选题 2分

Passage 1 Traffic lights are crucial tools for regulating traffic flow. They are not, however, perfect. Drivers exchange the gridlock that would happen at unmanaged junctions for a pattern of stop-go movement that can still be frustrating, and which burns more fuel than a smooth passage would. Creating such a smooth passage means adjusting a vehicle′s speed so that it always arrives at the lights when they are green. That is theoretically possible, but practically hard. Roadside signs wired to traffic lights may help, but they have not been widely deployed. Now scientists have an idea that could make the process cheaper and more effective. Instead of a hardwired network of signs, they propose to use mobile-phone apps. For a driver to benefit, he must load a special software, dubbed SignalGuru, into his phone and then mount it on a special bracket attached to the inside of his car′s windscreen, with the camera lens pointing forwards. SignalGuru is designed to detect traffic lights and track their status as red,amber or green. It broadcasts this information to other phones in the area that are fitted with the same software, and--if there are enough of them--the phones thus each know the status of most of the lights around town. Using this information, SignalGuru is able to calculate the traffic-light schedule for the region and suggest the speed at which a driver should travel in order to avoid running into red lights. Tests in Cambridge, Massachusetts, where five drivers were asked to follow the same route for three hours, and in Singapore, where eight drivers were asked to follow one of two routes for 30 minutes, revealed that SignalGuru was capable of predicting traffic-light activity with an accuracy of 98.2% and 96.3% respectively, in the two cities. This was particularly impressive because in Cambridge the lights shifted, roughly half-way through the test, from their off-peak schedule to their afternoon-traffic schedule, while in Singapore lights are adaptive, using detectors embedded under the road to determine how much traffic is around and thus when a signal should change. Fuel consumption fell, too--by about 20%. SignalGuru thus reduces both frustration and fuel use, and makes commuting a slightly less horrible experience. What do we know about SignalGuru from the second paragraph?

  • A.It is intended to keep track of traffic jams.
  • B.It can show where all traffic lights ar
  • C.It enables phones to share the information.
  • D.It works as a brake that slows down the car.
4 多选题 2分

Passage 1 Traffic lights are crucial tools for regulating traffic flow. They are not, however, perfect. Drivers exchange the gridlock that would happen at unmanaged junctions for a pattern of stop-go movement that can still be frustrating, and which burns more fuel than a smooth passage would. Creating such a smooth passage means adjusting a vehicle′s speed so that it always arrives at the lights when they are green. That is theoretically possible, but practically hard. Roadside signs wired to traffic lights may help, but they have not been widely deployed. Now scientists have an idea that could make the process cheaper and more effective. Instead of a hardwired network of signs, they propose to use mobile-phone apps. For a driver to benefit, he must load a special software, dubbed SignalGuru, into his phone and then mount it on a special bracket attached to the inside of his car′s windscreen, with the camera lens pointing forwards. SignalGuru is designed to detect traffic lights and track their status as red,amber or green. It broadcasts this information to other phones in the area that are fitted with the same software, and--if there are enough of them--the phones thus each know the status of most of the lights around town. Using this information, SignalGuru is able to calculate the traffic-light schedule for the region and suggest the speed at which a driver should travel in order to avoid running into red lights. Tests in Cambridge, Massachusetts, where five drivers were asked to follow the same route for three hours, and in Singapore, where eight drivers were asked to follow one of two routes for 30 minutes, revealed that SignalGuru was capable of predicting traffic-light activity with an accuracy of 98.2% and 96.3% respectively, in the two cities. This was particularly impressive because in Cambridge the lights shifted, roughly half-way through the test, from their off-peak schedule to their afternoon-traffic schedule, while in Singapore lights are adaptive, using detectors embedded under the road to determine how much traffic is around and thus when a signal should change. Fuel consumption fell, too--by about 20%. SignalGuru thus reduces both frustration and fuel use, and makes commuting a slightly less horrible experience. What did tests in Cambridge and Singapore reveal?

  • A.SignalGuru can detect the status of traffic lights with accuracy.
  • B.Traffic lights in Cambridge work better than those in Singapor
  • C.Drivers in Singapore follow traffic rules better than those in Cambridg
  • D.Traffic lights in Cambridge are more adaptive in off-peak hour.
5 多选题 2分

Passage 1 Traffic lights are crucial tools for regulating traffic flow. They are not, however, perfect. Drivers exchange the gridlock that would happen at unmanaged junctions for a pattern of stop-go movement that can still be frustrating, and which burns more fuel than a smooth passage would. Creating such a smooth passage means adjusting a vehicle′s speed so that it always arrives at the lights when they are green. That is theoretically possible, but practically hard. Roadside signs wired to traffic lights may help, but they have not been widely deployed. Now scientists have an idea that could make the process cheaper and more effective. Instead of a hardwired network of signs, they propose to use mobile-phone apps. For a driver to benefit, he must load a special software, dubbed SignalGuru, into his phone and then mount it on a special bracket attached to the inside of his car′s windscreen, with the camera lens pointing forwards. SignalGuru is designed to detect traffic lights and track their status as red,amber or green. It broadcasts this information to other phones in the area that are fitted with the same software, and--if there are enough of them--the phones thus each know the status of most of the lights around town. Using this information, SignalGuru is able to calculate the traffic-light schedule for the region and suggest the speed at which a driver should travel in order to avoid running into red lights. Tests in Cambridge, Massachusetts, where five drivers were asked to follow the same route for three hours, and in Singapore, where eight drivers were asked to follow one of two routes for 30 minutes, revealed that SignalGuru was capable of predicting traffic-light activity with an accuracy of 98.2% and 96.3% respectively, in the two cities. This was particularly impressive because in Cambridge the lights shifted, roughly half-way through the test, from their off-peak schedule to their afternoon-traffic schedule, while in Singapore lights are adaptive, using detectors embedded under the road to determine how much traffic is around and thus when a signal should change. Fuel consumption fell, too--by about 20%. SignalGuru thus reduces both frustration and fuel use, and makes commuting a slightly less horrible experience. What does the passage mainly concern?

  • A.Traffic lights turn out to be not perfect all the tim
  • B.Phones with SignalGuru can be a great aid to drivers.
  • C.Drivers are often struck at unmanaged junctions.
  • D.Cities in the developed countries need SignalGuru badly.