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Texas introduces AI-driven automated scoring engine for STAAR tests, saving $15-20M annually on human graders.
Texas will introduce AI-driven "automated scoring engine" for student written answers on this year's STAAR tests, saving around $15-20 million annually on hiring human graders.
The AI technology, utilizing natural language processing, will evaluate open-ended questions in subjects like reading, writing, science, and social studies.
Roughly 25% of test responses will be reviewed by human graders after initial AI grading.
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Texas introduce un motor de puntuación automatizado impulsado por IA para las pruebas STAAR, lo que ahorra entre 15 y 20 millones de dólares al año en calificadores humanos.