Dynamic User Modeling within a Game-Based ITS [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, Jun 26-29, 2015).

Autor/in	Snow, Erica L.
Institution	International Educational Data Mining Society
Titel	Dynamic User Modeling within a Game-Based ITS [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, Jun 26-29, 2015).
Quelle	(2015), (3 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Intelligent Tutoring Systems; Models; Individualized Instruction; Needs Assessment; Computer System Design; Feedback (Response); Statistical Data; Data Processing; Data Analysis; High School Students; Reading Comprehension; Reading Improvement; Help Seeking; Educational Games; Game Theory + Suchen Sie Ihr Suchwort? Intelligentes Tutorsystem; Analogiemodell; Individualisierender Unterricht; Bedarfsermittlung; Datenverarbeitung; Auswertung; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Leseverstehen; Help-seeking behavior; Help-seeking behaviour; Hilfe suchendes Verhalten; Educational game; Lernspiel; Spieltheorie
Abstract	Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user models within the iSTART-2 intelligent tutoring system, which will be informed by dynamic methodologies and data mining techniques. My previous work has used post hoc dynamic methodologies to quantify optimal and in-optimal learning behaviors within the game-based system, iSTART-2. I plan to build upon this work by conducting dynamical analyses in real-time to inform the user models embedded within iSTART-2. I am seeking advice and feedback on the statistical methods and feature selection that should included within the new dynamic user model. The implications of this approach for both iSTART-2 and the EDM field are discussed. [For complete proceedings, see ED560503.] (As Provided).
Anmerkungen	International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2022/4/11