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Can automated questions scaffold children's reading comprehension?
J.E. Beck, J. Mostow, and J. Bey
Proceedings of the 7th International Conference on Intelligent Tutoring Systems, September, 2004.

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Abstract

Can automatically generated questions scaffold reading comprehension? We automated three kinds of multiple-choice questions in children's assisted reading:

  1. Wh- questions: ask a generically worded What/Where/When question.
  2. Sentence prediction: ask which of three sentences belongs next.
  3. Cloze: ask which of four words best fills in a blank in the next sentence.
A within-subject experiment in the spring 2003 version of Project LISTEN?s Reading Tutor randomly inserted all three kinds of questions during stories as it helped children read them. To compare their effects on story-specific comprehension, we analyzed 15,196 subsequent cloze test responses by 404 children in grades 1-4. The results show that a computer can scaffold a child?s comprehension of a given text without understanding the text itself, provided it avoids irritating the student.

Notes

Associated lab/group: Project LISTEN

Number of pages: 12

Text Reference

J.E. Beck, J. Mostow, and J. Bey, "Can automated questions scaffold children's reading comprehension?," Proceedings of the 7th International Conference on Intelligent Tutoring Systems, September, 2004.

BibTeX Reference

@inproceedings{Beck_2004_4992,
   author = "Joseph E Beck and Jack Mostow and Juliet Bey",
   title = "Can automated questions scaffold children's reading comprehension?",
   booktitle = "Proceedings of the 7th International Conference on Intelligent Tutoring Systems",
   month = "September",
   year = "2004"
}


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