Stairstepper: An adaptive remedial iSTART module

Cecile A. Perret; Amy Johnson; Kathryn S. McCarthy; Tricia A. Guerrero; Jianmin Dai; Danielle McNamara

doi:10.1007/978-3-319-61425-0_63

Stairstepper: An adaptive remedial iSTART module

Cecile A. Perret, Amy Johnson, Kathryn S. McCarthy, Tricia A. Guerrero, Jianmin Dai, Danielle McNamara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

This paper introduces StairStepper, a new addition to Interactive Strategy Training for Active Reading and Thinking (iSTART), an intelligent tutoring system (ITS) that provides adaptive self-explanation training and practice. Whereas iSTART focuses on improving comprehension at levels geared toward answering challenging questions associated with complex texts, StairStepper focuses on improving learners’ performance when reading grade-level expository texts. StairStepper is designed as a scaffolded practice activity wherein text difficulty level and task are adapted according to learners’ performance. This offers a unique module that provides reading comprehension tutoring through a combination of self-explanation practice and answering of multiple-choice questions representative of those found in standardized tests.

Original language	English (US)
Title of host publication	Artificial Intelligence in Education - 18th International Conference, AIED 2017, Proceedings
Editors	Elisabeth Andre, Xiangen Hu, Ma. Mercedes T. Rodrigo, Benedict du Boulay, Ryan Baker
Publisher	Springer Verlag
Pages	557-560
Number of pages	4
ISBN (Print)	9783319614243
DOIs	https://doi.org/10.1007/978-3-319-61425-0_63
State	Published - 2017
Event	18th International Conference on Artificial Intelligence in Education, AIED 2017 - Wuhan, China Duration: Jun 28 2017 → Jul 1 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10331 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	18th International Conference on Artificial Intelligence in Education, AIED 2017
Country/Territory	China
City	Wuhan
Period	6/28/17 → 7/1/17

Keywords

Game-based learning
Intelligent tutoring systems
Reading assessment
Reading comprehension
Strategy based learning
System adaptivity

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-61425-0_63

Cite this

Perret, C. A., Johnson, A., McCarthy, K. S., Guerrero, T. A., Dai, J., & McNamara, D. (2017). Stairstepper: An adaptive remedial iSTART module. In E. Andre, X. Hu, M. M. T. Rodrigo, B. du Boulay, & R. Baker (Eds.), Artificial Intelligence in Education - 18th International Conference, AIED 2017, Proceedings (pp. 557-560). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10331 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-61425-0_63

Stairstepper: An adaptive remedial iSTART module. / Perret, Cecile A.; Johnson, Amy; McCarthy, Kathryn S. et al.
Artificial Intelligence in Education - 18th International Conference, AIED 2017, Proceedings. ed. / Elisabeth Andre; Xiangen Hu; Ma. Mercedes T. Rodrigo; Benedict du Boulay; Ryan Baker. Springer Verlag, 2017. p. 557-560 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10331 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Perret, CA, Johnson, A, McCarthy, KS, Guerrero, TA, Dai, J & McNamara, D 2017, Stairstepper: An adaptive remedial iSTART module. in E Andre, X Hu, MMT Rodrigo, B du Boulay & R Baker (eds), Artificial Intelligence in Education - 18th International Conference, AIED 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10331 LNAI, Springer Verlag, pp. 557-560, 18th International Conference on Artificial Intelligence in Education, AIED 2017, Wuhan, China, 6/28/17. https://doi.org/10.1007/978-3-319-61425-0_63

Perret CA, Johnson A, McCarthy KS, Guerrero TA, Dai J, McNamara D. Stairstepper: An adaptive remedial iSTART module. In Andre E, Hu X, Rodrigo MMT, du Boulay B, Baker R, editors, Artificial Intelligence in Education - 18th International Conference, AIED 2017, Proceedings. Springer Verlag. 2017. p. 557-560. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-61425-0_63

Perret, Cecile A. ; Johnson, Amy ; McCarthy, Kathryn S. et al. / Stairstepper : An adaptive remedial iSTART module. Artificial Intelligence in Education - 18th International Conference, AIED 2017, Proceedings. editor / Elisabeth Andre ; Xiangen Hu ; Ma. Mercedes T. Rodrigo ; Benedict du Boulay ; Ryan Baker. Springer Verlag, 2017. pp. 557-560 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Stairstepper: An adaptive remedial iSTART module

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Keywords

ASJC Scopus subject areas

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