Literaturnachweis - Detailanzeige
| Autor/inn/en | Perret, Cecile A.; Johnson, Amy M.; McCarthy, Kathryn S.; Guerrero, Tricia A.; Dai, Jianmin; McNamara, Danielle S. |
|---|---|
| Titel | StairStepper: An Adaptive Remedial iSTART Module [Konferenzbericht] Paper presented at the International Conference on Artificial Intelligence in Education (18th, 2017). |
| Quelle | (2017), (5 Seiten)
PDF als Volltext kostenfreie Datei |
| Zusatzinformation | Weitere Informationen |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Reading Comprehension; Reading Instruction; Intelligent Tutoring Systems; Reading Strategies; Scaffolding (Teaching Technique); Educational Games; Remedial Reading; Adult Literacy; Literacy Education; Multiple Choice Tests; Difficulty Level |
| 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. [This paper was published in: E. Andre, R. Baker, X. Hu, M. M. T. Rodrigo, & B. du Boulay (Eds.), "Proceedings of the 18th International Conference on Artificial Intelligence in Education" (pp. 557-560). Wuhan, China: Springer.] (As Provided). |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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