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Universal screening with automated essay scoring: Evaluating classification accuracy in grades 3 and 4
1University of Delaware, United States.
Journal of School Psychology
|June 5, 2018
Summary
Automated essay scoring using Direct Assessment of Writing (DAW) shows promise for identifying students at risk for writing difficulties. This method can help predict performance on English language arts (ELA) assessments.
Area of Science:
- Educational Psychology
- Writing Assessment
- Educational Technology
Background:
- The Common Core State Standards emphasize writing proficiency, posing a risk for students with weaker writing skills on English language arts (ELA) assessments.
- Early identification of at-risk writers is crucial for targeted intervention and academic success.
Purpose of the Study:
- To evaluate the effectiveness of automated scoring for a Direct Assessment of Writing (DAW) as a universal screening tool for identifying third and fourth graders at risk of not meeting grade-level writing standards.
- To determine the diagnostic accuracy of DAW screening models in predicting performance on the summative Smarter Balanced ELA assessment.
Main Methods:
- A diverse sample of 100 third graders and 130 fourth graders completed Fall and Spring writing screeners using DAW procedures.
- Essays were scored using the Project Essay Grade (PEG) automated essay scoring system.
- Receiver Operating Characteristic (ROC) curve analysis and logistic regression were employed to assess screening model performance, calculating Area Under the Curve (AUC), sensitivity, and specificity.
Main Results:
- For third graders, AUC values for the DAW screeners were in the acceptable range (Fall=0.74, Spring=0.75).
- For fourth graders, AUC values approached or fell within the excellent range (Fall=0.79, Spring=0.83).
- Selected cutpoints demonstrated varying levels of sensitivity and specificity, indicating the models' ability to correctly identify students at risk and those meeting standards.
Conclusions:
- Automatically-scored DAW demonstrates significant potential as a valid and efficient universal screening tool for identifying writing difficulties in elementary students.
- This automated approach can support early intervention efforts, helping to ensure students meet grade-level writing expectations within the context of current educational standards.
Keywords:
Automated essay scoringCommon Core State StandardsLiteracyProject Essay Grade (PEG)ROC curve analysisScreeningSmarter Balanced assessment consortiumWritingMore Related Videos
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