FELE Data-Driven Decision Making Flashcards
6 cards from real FELE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 FELE Data-Driven Decision Making flashcards as text
Which Florida tool provides school leaders with a dashboard view of multiple accountability indicators including graduation rate and learning gains?
Answer: Florida's School Grades portal on the FLDOE website
The FLDOE School Grades portal aggregates all accountability components into a transparent public dashboard for each school.
Root cause analysis in a school improvement context is BEST described as:
Answer: A systematic process to uncover the underlying factors contributing to a performance gap
Root cause analysis goes beyond symptoms to identify systemic factors that, if addressed, will produce lasting improvement.
A school leader wants to determine if there is a statistically significant difference between two instructional groups. The appropriate tool is:
Answer: An inferential statistical test such as a t-test
Inferential statistics such as the t-test determine whether observed differences between groups are likely due to chance or a real effect.
Which Florida accountability component specifically measures whether students who were previously below grade level made a year's worth of growth?
Answer: Learning Gains of the Lowest 25%
Florida's lowest 25% learning gains component specifically tracks whether the most at-risk students are making adequate annual progress.
A principal disaggregates FSA data and finds that English Language Learners (ELLs) consistently underperform in mathematics. The next step should be:
Answer: Investigate whether language barriers in math word problems are affecting performance
Examining whether language demand in assessments affects ELL math performance is a critical step in designing targeted, equitable supports.
Predictive analytics in a school setting is PRIMARILY used to:
Answer: Identify students likely to need intervention before they fall behind
Predictive analytics uses historical data patterns to flag students at risk so leaders can intervene proactively rather than reactively.