Cuestionario sobre tutores de lectura de IA y aplicaciones de alfabetización temprana

Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

1. ¿Qué ventaja tiene un tutor de lectura sobre la transcripción general del habla?
   • It knows the text the child is supposed to read
   • It uses no microphone
   • It works only with adult voices
   • It ignores skipped words
2. ¿Qué proyecto de Carnegie Mellon fue un tutor de lectura temprana que escuchaba leer a los niños?
   • Project Gutenberg
   • Project LISTEN
   • Project Athena
   • Project Echo
3. ¿Qué mide 'palabras correctas por minuto'?
   • Comprehension of the story's theme
   • Tamaño del vocabulario
   • Handwriting speed
   • Oral reading fluency
4. ¿Por qué el habla de los niños resulta más difícil para los sistemas de reconocimiento?
   • Children speak too slowly for microphones
   • Children only use short words
   • Higher pitch, developing pronunciation and less training data
   • Children's voices are too quiet to record
5. ¿Qué componente de lectura apoyan principalmente los tutores basados ​​en la escucha?
   • Fluency and decoding practice
   • escritura a mano
   • Spelling tests only
   • Creative writing
6. What happens if a tutor's pronunciation threshold is set too strict?
   • Real errors pass unnoticed
   • It creates false rejections that frustrate readers
   • The app stops recording
   • Fluency scores become more accurate for everyone
7. How should a parent or teacher treat an app's fluency score?
   • As a formal diagnosis of dyslexia
   • As irrelevant data
   • As a replacement for report cards
   • As a screening signal a teacher should confirm
8. Why might an app wrongly mark a child's accurate reading as an error?
   • The child read too many correct words
   • The app lacks a screen
   • Accent or dialect differences the model handles poorly
   • The book was too short