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

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.

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.

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.

By emphasizing descriptive linguistic patterns rather than error-based scoring, ScriptSense offers an accessible approach to examining children's written language. Findings illustrate the platform's capacity to generate multidimensional linguistic profiles.