Linguistic content analysis as a tool for improving adaptive instruction

Laura K. Varner, G. Tanner Jackson, Erica L. Snow, Danielle McNamara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This study investigates methods to automatically assess the features of content texts within an intelligent tutoring system (ITS). Coh-Metrix was used to calculate linguistic indices for texts (n = 66) within the reading strategy ITS, iSTART. Coh-Metrix indices for the system texts were compared to students' (n = 126) self-explanation scores to examine the degree to which linguistic indices predicted students' self-explanation quality. Initial analyses indicated no relation between self-explanation scores on a given text and its linguistic properties. However, subsequent analyses indicated the presence of robust text effects when analyses were separated for high and low reading ability students.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages692-695
Number of pages4
Volume7926 LNAI
DOIs
StatePublished - 2013
Event16th International Conference on Artificial Intelligence in Education, AIED 2013 - Memphis, TN, United States
Duration: Jul 9 2013Jul 13 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7926 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other16th International Conference on Artificial Intelligence in Education, AIED 2013
CountryUnited States
CityMemphis, TN
Period7/9/137/13/13

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Content Analysis
Linguistics
Intelligent systems
Students
Intelligent Tutoring Systems
Text
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Keywords

  • ITS
  • Natural Language Processing
  • Readability
  • System Adaptability
  • Text Characteristics
  • Tutoring

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Varner, L. K., Jackson, G. T., Snow, E. L., & McNamara, D. (2013). Linguistic content analysis as a tool for improving adaptive instruction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7926 LNAI, pp. 692-695). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7926 LNAI). https://doi.org/10.1007/978-3-642-39112-5-90

Linguistic content analysis as a tool for improving adaptive instruction. / Varner, Laura K.; Jackson, G. Tanner; Snow, Erica L.; McNamara, Danielle.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7926 LNAI 2013. p. 692-695 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7926 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Varner, LK, Jackson, GT, Snow, EL & McNamara, D 2013, Linguistic content analysis as a tool for improving adaptive instruction. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7926 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7926 LNAI, pp. 692-695, 16th International Conference on Artificial Intelligence in Education, AIED 2013, Memphis, TN, United States, 7/9/13. https://doi.org/10.1007/978-3-642-39112-5-90
Varner LK, Jackson GT, Snow EL, McNamara D. Linguistic content analysis as a tool for improving adaptive instruction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7926 LNAI. 2013. p. 692-695. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-39112-5-90
Varner, Laura K. ; Jackson, G. Tanner ; Snow, Erica L. ; McNamara, Danielle. / Linguistic content analysis as a tool for improving adaptive instruction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7926 LNAI 2013. pp. 692-695 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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