As the research in this chapter reveals, students’ statistical reasoning from
elementary through college is diverse and often idiosyncratic. Moreover, students’
statistical reasoning is constantly changing and hence is dynamic rather than static.
Notwithstanding the diversity and dynamics of students’ statistical reasoning,
recurring patterns or levels of statistical reasoning are consistently observable when
students are involved in key statistical processes like decision making, inferring, and
predicting; and when they deal with concepts like sampling, organizing and
representing data, center and variation, and analysis and interpretation. These
recurring patterns of statistical reasoning, and the models of development that have
evolved from them, offer a powerful resource for informing instructional programs
that focus on having students learn statistical reasoning by building on or reformulating the statistical ideas they bring to the classroom
As the research in this chapter reveals, students’ statistical reasoning from
elementary through college is diverse and often idiosyncratic. Moreover, students’
statistical reasoning is constantly changing and hence is dynamic rather than static.
Notwithstanding the diversity and dynamics of students’ statistical reasoning,
recurring patterns or levels of statistical reasoning are consistently observable when
students are involved in key statistical processes like decision making, inferring, and
predicting; and when they deal with concepts like sampling, organizing and
representing data, center and variation, and analysis and interpretation. These
recurring patterns of statistical reasoning, and the models of development that have
evolved from them, offer a powerful resource for informing instructional programs
that focus on having students learn statistical reasoning by building on or reformulating the statistical ideas they bring to the classroom
การแปล กรุณารอสักครู่..
