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Autor/inn/enJackson, G. Tanner; Boonthum-Denecke, Chutima; McNamara, Danielle S.
TitelNatural Language Processing and Game-Based Practice in iSTART
Quelle(2015), (33 Seiten)
PDF als Volltext kostenfreie Datei Verfügbarkeit 
ZusatzinformationWeitere Informationen
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
SchlagwörterNatural Language Processing; Feedback (Response); Intelligent Tutoring Systems; Reading Strategies; Educational Technology; Technology Uses in Education; Educational Games; Learner Engagement; Student Motivation
AbstractIntelligent Tutoring Systems (ITSs) are situated in a potential struggle between effective pedagogy and system enjoyment and engagement. iSTART, a reading strategy tutoring system in which students practice generating self-explanations and using reading strategies, employs two devices to engage the user. The first is natural language processing (NLP). Incorporating NLP within iSTART allows students to use their own thoughts and ideas to communicate with the system, and serves as the core "intelligence" of the system that is used to drive the feedback and the adaptive interactions during practice. Studies have shown that the NLP algorithms within iSTART perform comparably to human raters and provide a good measure for the sophistication of student self-explanations. The second device is the use of game-based practice. Skill mastery requires a significant commitment to practice over extended periods of time. Unfortunately, this persistent and repetitive practice is also associated with disengagement from the target educational task. Therefore, a gaming environment was developed that integrates multiple combinations of enjoyable, engaging game elements with the target practice tasks. This paper describes these two principle aspects of iSTART and research on their effectiveness. [This paper was published in "Journal of Interactive Learning Research" v26 n2 p189-208 2015 (EJ1060044).] (As Provided).
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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