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Enhancing Writing Assessment With Automated Tools: An Exploratory Analysis of Third-Grade Narratives Using
1School of Communication Science & Disorders, Florida State University, Tallahassee.
Language, Speech, and Hearing Services in Schools
|June 11, 2026
Summary
ScriptSense offers a new web-based tool for analyzing student writing, focusing on linguistic development rather than errors. This platform provides insights into morphological complexity, lexical diversity, and syntactic structures in children's narratives.
Area of Science:
- Educational Technology
- Applied Linguistics
- Developmental Psychology
Background:
- Traditional writing assessments often focus on surface-level correctness, overlooking deeper linguistic development.
- There is a need for accessible tools to analyze the complexities of student writing.
- Existing frameworks like the Morphological Pathways Framework and Lexical Quality Hypothesis offer theoretical underpinnings for linguistic analysis.
Purpose of the Study:
- Introduce ScriptSense, a web-based platform for linguistic analysis of student writing.
- Provide accessible descriptions of students' underlying linguistic development.
- Analyze morphological complexity, lexical diversity, and syntactic development in written language.
Main Methods:
- A cross-sectional pilot design was employed with 50 third-grade narrative writing samples.
- ScriptSense performed automated analyses to extract indices of morphological use, lexical diversity, and syntactic structure.
- Descriptive analyses and subset verification were used to assess the outputs.
Main Results:
- Students exhibited moderate lexical diversity (M TTR = 0.68) and lexical density (M = 0.59) with an average of 56 words per narrative.
- All students used inflectional morphology, and over two-thirds produced derivational morphemes.
- Syntactic analysis revealed variability in sentence elaboration, with an average of 4.30 clauses per sentence.
Conclusions:
- ScriptSense provides an accessible, descriptive approach to examining children's written language, moving beyond error-based scoring.
- The platform demonstrates its capability to generate multidimensional linguistic profiles of student writing.
- Findings highlight the potential of ScriptSense to offer deeper insights into students' linguistic development.
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