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About this activity

Data-led analysis of learner results

Created by

AILINE BERNARDO
AILINE BERNARDO
Philippines

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Data-Driven Assessment Insights
 

Data-Driven Assessment InsightsOnline version

Data-led analysis of learner results

by AILINE BERNARDO
1

All questions that many students get wrong indicate poor instruction.

2

Data-driven instruction uses assessment results to tailor lessons.

3

Data should be collected only at the end of a course and not during.

4

You should ignore outliers in data when planning instruction.

5

Item analysis helps identify difficult items and guide curriculum adjustments.

6

A single test score is enough to fully understand a learner's abilities.

7

Disaggregating data by subgroups reveals achievement gaps.

8

Qualitative observations are irrelevant when analyzing assessment results.

9

Visualization of results supports evidence-based decision making.

10

Trends in learner performance over time inform instructional pacing.

 
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