Enhancing Writing Assessment With Automated Tools: An Exploratory Analysis of Third-Grade Narratives Using ScriptSense.

Saved in:

Bibliographic Details
Title:	Enhancing Writing Assessment With Automated Tools: An Exploratory Analysis of Third-Grade Narratives Using ScriptSense.
Authors:	Ippolito, Ashley¹ aippolito@fsu.edu, Wood, Carla¹
Source:	Language, Speech & Hearing Services in Schools. Jul2026, Vol. 57 Issue 3, p1033-1044. 12p.
Subject Terms:	World Wide Web, Readability (Literary style), Speech evaluation, Application software, Written communication, Language acquisition, Cross-sectional method, Secondary analysis, Research funding, Statistical sampling, Pilot projects, Descriptive statistics, Linguistics
Abstract:	Purpose: Traditional writing assessments often prioritize surface-level correctness, limiting insight into students' underlying linguistic development. This research note introduces ScriptSense, a web-based linguistic analysis platform designed to provide accessible descriptions of student writing. Grounded in the Morphological Pathways Framework and the Lexical Quality Hypothesis, ScriptSense analyzes written language for indicators of morphological complexity, lexical diversity, and syntactic development. Method: Using a cross-sectional pilot design, ScriptSense was applied to 50 third-grade narrative writing samples collected in general education classrooms. Automated analyses extracted descriptive indices of morphological use (e.g., inflectional and derivational morphemes), lexical diversity (e.g., type--token ratio [TTR], lexical density), and syntactic structure (e.g., clause-to-sentence ratio, mean length of utterance). Outputs were analyzed descriptively, with subset verification to support interpretive consistency. Results: Students produced an average of 56 words per narrative (SD = 21), with moderate lexical diversity (M TTR = 0.68) and lexical density (M = 0.59). All students demonstrated productive use of inflectional morphology, and over two thirds produced at least one derivational morpheme. Variability was observed across syntactic measures (mean clauses per sentence = 4.30, SD = 0.77), reflecting differences in sentence elaboration beyond rubrics . Conclusions: By emphasizing descriptive linguistic patterns rather than errorbased scoring, ScriptSense offers an accessible approach to examining children's written language. Findings illustrate the platform's capacity to generate multidimensional linguistic profiles. [ABSTRACT FROM AUTHOR]
	Copyright of Language, Speech & Hearing Services in Schools is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Education Research Complete

Description
Abstract:	Purpose: Traditional writing assessments often prioritize surface-level correctness, limiting insight into students' underlying linguistic development. This research note introduces ScriptSense, a web-based linguistic analysis platform designed to provide accessible descriptions of student writing. Grounded in the Morphological Pathways Framework and the Lexical Quality Hypothesis, ScriptSense analyzes written language for indicators of morphological complexity, lexical diversity, and syntactic development. Method: Using a cross-sectional pilot design, ScriptSense was applied to 50 third-grade narrative writing samples collected in general education classrooms. Automated analyses extracted descriptive indices of morphological use (e.g., inflectional and derivational morphemes), lexical diversity (e.g., type--token ratio [TTR], lexical density), and syntactic structure (e.g., clause-to-sentence ratio, mean length of utterance). Outputs were analyzed descriptively, with subset verification to support interpretive consistency. Results: Students produced an average of 56 words per narrative (SD = 21), with moderate lexical diversity (M TTR = 0.68) and lexical density (M = 0.59). All students demonstrated productive use of inflectional morphology, and over two thirds produced at least one derivational morpheme. Variability was observed across syntactic measures (mean clauses per sentence = 4.30, SD = 0.77), reflecting differences in sentence elaboration beyond rubrics . Conclusions: By emphasizing descriptive linguistic patterns rather than errorbased scoring, ScriptSense offers an accessible approach to examining children's written language. Findings illustrate the platform's capacity to generate multidimensional linguistic profiles. [ABSTRACT FROM AUTHOR]
ISSN:	01611461
DOI:	10.1044/2026_LSHSS-25-00236