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Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
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Lee, Hee-Sun; McNamara, Danielle; Bracey, Zoë Buck; Wilson, Christopher; Osborne, Jonathan; Haudek, Kevin C.; Liu, Ou Lydia; Pallant, Amy; Gerard, Libby; Linn, Marcia C.; Sherin, Bruce – Grantee Submission, 2019
Rapid advancements in computing have enabled automatic analyses of written texts created in educational settings. The purpose of this symposium is to survey several applications of computerized text analyses used in the research and development of productive learning environments. Four featured research projects have developed or been working on:…
Descriptors: Computational Linguistics, Written Language, Computer Assisted Testing, Scoring