Question

advocates of data literacy have long argued that u.s. schools lag behind the data - driven demands of modern work, but until recently they lacked a clear picture of how quickly classrooms were changing. a new state of the field report from the nonprofit data science 4 everyone compiles enrollment tallies, state policies, and teacher training hours across k - 12 systems. it estimates that tens of thousands of students now take dedicated data science courses or modules in nearly a thousand schools, while more than 3,000 teachers have logged over 23,000 hours of professional development. several states have strengthened graduation requirements in statistics or data analysis and moved up in the groups policy rankings. in the reports authors view, these converging trends indicate ______
16 mark for review
which choice most logically completes the text?
a that the rapid increase in enrollments and policy actions shows that most u.s. schools have already achieved universal data science literacy, so additional investments in teacher training and further state - level reforms are unlikely to yield meaningful educational benefits.

b that the primary lesson of the report is that professional development alone can carry data science into classrooms, making graduation requirements and statewide policy changes largely unnecessary once a critical number of teachers have completed introductory training sessions.

c that data science remains too marginal and fragmented to justify coordinated reform, since scattered enrollments and a handful of policy shifts merely confirm that traditional mathematics courses will continue to dominate students preparation for a data - driven economy.

d that data science is beginning to emerge as a coherent strand of k - 12 schooling whose future growth can be deliberately steered by aligning state policy, graduation requirements, and sustained teacher development, rather than leaving scattered pilot programs to grow haphazardly.

Explanation:

To determine the correct option, we analyze the context. The text describes trends like increased student enrollment in data science courses, teacher professional development, and state policy changes (strengthening graduation requirements). We need an option that logically follows these converging trends.

• Option A: Claims most schools have universal data science literacy, but the text shows growth (not universality) and implies further investment could help, so A is illogical.
• Option B: Says professional development alone is enough and policy changes are unnecessary, but the text includes policy changes as part of the trend, so B is wrong.
• Option C: States data science is marginal and fragmented, but the text shows growth (thousands of students, teachers, state policies), so C contradicts.
• Option D: Says data science is emerging as a coherent strand, with growth steered by policy, graduation requirements, and teacher development (matching the trends: enrollment, teacher hours, state policies) instead of haphazard growth. This aligns with the converging trends.

Answer:

D. that data science is beginning to emerge as a coherent strand of K-12 schooling whose future growth can be deliberately steered by aligning state policy, graduation requirements, and sustained teacher development rather than leaving scattered pilot programs to grow haphazardly.