NAPLAN: Annual national testing in reading, writing, language conventions, numeracy. Provides a snapshot but captures only some abilities. A student might score well on NAPLAN but struggle with reasoning.
PAT (Progress Achievement Tests): Adaptive tests from ACER. Useful formative data showing growth over time. More sensitive to small gains than NAPLAN.
School Data: Your own assessments, tests, rubrics, observations. Often more reliable for guiding daily teaching than external tests.
School data often reports: "Our reading score is X. Our numeracy is Y." Useful, but not actionable. Dig deeper.
Disaggregate by Subgroup: How do Aboriginal students perform vs. non-Aboriginal? How do boys vs. girls compare? High-achieving students vs. those in the bottom 25%? Disaggregation reveals equity gaps.
Strand Analysis: If your numeracy score is low, which strands? Number/algebra, measurement, statistics, geometry? Target interventions to the weak area.
NAPLAN shows your class average. But an average hides extremes. A class of 28 students includes high achievers, middle students, and students struggling significantly.
Segment Students: List students by performance level. Who's in the top 25%? The bottom 25%? The middle?
Identify Patterns: Do students in the bottom 25% all struggle with the same skills (e.g., phonemic awareness)? That's actionable. You can target group instruction to that need.
Data without action is useless. After analysing, what changes?
If data shows phonemic awareness gaps: Implement explicit phonemic awareness instruction for students who need it (not all students; some are beyond this).
If data shows writing struggles: More writing instruction, writing conferences, sentence-level feedback.
If data shows gaps in number fact fluency: Daily practice for students who need it, not for students already fluent.
Growth Measures: A student might score 'Below' on NAPLAN, but if last year they scored 'Well Below,' that's growth. Celebrate gains, not just absolute performance.
Repeat Measures: Give the same assessment multiple times (e.g., monthly reading running records). Track growth trajectory, not just one snapshot.
Multiple Measures: Don't rely on one test. One student might perform poorly on a timed test but well on untimed tasks. Use multiple measures to paint an accurate picture.
Share data with students in age-appropriate ways. Show them their growth: "Last term you could read 50 words per minute. Now you can read 65. That's growth!"
Data makes learning concrete for students. They understand what they're working toward and see progress.
If Aboriginal students or students from low socioeconomic backgrounds perform significantly lower, that's a red flag. Data should drive efforts to close gaps.
Don't accept achievement gaps as inevitable. Disaggregate, identify barriers, and provide targeted support. A 2-hour per week literacy program for struggling students might be the difference between a gap persisting and a gap closing.
