ODE Data-Driven Instruction 2

Question 1

A teacher notices that 60% of students failed a formative assessment on fractions. What is the most appropriate next step using data-driven instruction?

Accepted Answer

Re-teach fractions using a different instructional approach

Answer

Data-driven instruction requires adjusting teaching methods when data shows widespread student struggle, not simply repeating the same approach.

Question 2

Which type of data is MOST useful for making real-time adjustments to daily instruction?

Accepted Answer

Formative assessment data collected during lessons

Answer

Formative data collected during instruction provides immediate feedback that teachers can use to adjust lessons in real time.

Question 3

In Ohio's data-driven instruction model, what does 'disaggregating data' primarily help educators accomplish?

Accepted Answer

Identify achievement gaps among specific student subgroups

Answer

Disaggregating data involves breaking down results by subgroups (race, ELL status, disability, etc.) to reveal and address specific achievement gaps.

Question 4

A school's data team reviews benchmark results and finds that ELL students consistently score lower on reading comprehension. What should be their primary response?

Accepted Answer

Design targeted interventions that address language acquisition alongside comprehension

Answer

Targeted interventions that address both language acquisition and content comprehension are the appropriate response to achievement gaps identified through data.

Question 5

Which practice best exemplifies a data-driven instructional cycle?

Accepted Answer

Assessing, analyzing results, adjusting instruction, and reassessing

Answer

The data-driven instructional cycle is iterative: assess, analyze, adjust instruction, and reassess to measure the impact of changes.

(ODE) Ohio Department of Education Practice Test

(ODE) Ohio Department of Education Practice Test

ODE Data-Driven Instruction 2