阅读理解
In today's
world, understanding how to analyze big data is a significant tool for
students, scientists, and citizens alike-and a key topic during both speeches
at the 2019 Research Teachers Conference.
During
their speeches, Lisa Purcell, Senior Scientist at Regeneron and Ruth Krumhansl,
founder of the Oceans of Data Institute, both offered recommendations(推荐信) to more than 200
teachers at the conference on how to effectively use big data in the classroom.
"Having
a lot of data is worthless unless you can make sense of it," Ruth said. "We
have a responsibility to help our students make wise decisions in a very
complex world. " Ruth explained that she is always seeking to increase
data literacy(数据素养能力)and transform science education using big data. With these
resources, students can conduct a variety of big data research projects -all
from the classroom. Moreover, even students interested in non-STEM(科学、技术、工程、数学)careers like consulting or business analytics can benefit from
understanding how to analyze and understand data sets.
Lisa
stressed that teachers have the power to change the world by providing the next
generation with the correct analytical tools and approaches to handle such
large quantities of information. "You can train the next generation with
them to do whatever, whether it's dealing with climate change, creating a
vaccine (疫苗)
for Ebola, or becoming the next President of the U. S. or Prime Minister of
Canada," Lisa said.
Understanding big data is critical to students'
success in school and their future careers. According to Ruth, students should
begin working with data from a young age. This will enable students to practice
analytical thinking as early as possible, and to begin asking important
questions about what is going on in our world. And big data can help answer
questions that students have. "Students are interested in what is known,
but they get more excited about what is not known," she said.
(1)
According to Paragraph 2, we know the speeches of Lisa and Ruth _______.
A . advise students to increase data literacy
B . ask teachers to know how to analyze big data
C . show the significance of big data in non-STEM
D . advise teachers to apply big data in the classroom
(2)
What can we know about Ruth?
A . She was a real specialist in analyzing big data.
B . She laid the base for students to do big data projects.
C . She stressed the important role of teachers in using big data.
D . She made outstanding achievements with the help of big data.
(3)
Which of the following may Lisa agree with?
A . Teachers are given the power to change the world.
B . Teachers should try to transform science education.
C . Teachers can help students apply big data to many fields.
D . Teachers know the importance of big data for students.
(4)
What may be the best title for the passage?
A . How can students analyze big data?
B . How can students make use of big data?
C . Big data-a significant tool in today's classroom
D . Big data-a necessary subject for students to learn
答案: D
B
C
C