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.
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Acknowledgments
This research was supported in part by the Institute of Education Sciences (R305A130124) and the Office of Naval Research (N00014140343 and N000141712300). Any opinion, conclusion, or recommendation expressed are those of the authors and do not represent views of the IES or ONR.
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Perret, C.A., Johnson, A.M., McCarthy, K.S., Guerrero, T.A., Dai, J., McNamara, D.S. (2017). StairStepper: An Adaptive Remedial iSTART Module. In: André, E., Baker, R., Hu, X., Rodrigo, M., du Boulay, B. (eds) Artificial Intelligence in Education. AIED 2017. Lecture Notes in Computer Science(), vol 10331. Springer, Cham. https://doi.org/10.1007/978-3-319-61425-0_63
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DOI: https://doi.org/10.1007/978-3-319-61425-0_63
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