Modeling Person-Specific Development of Math Skills in Continuous Time: New Evidence for Mutualism [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, Jul 2-5, 2019).

Autor/inn/en	Ou, Lu; Hofman, Abe D.; Simmering, Vanessa R.; Bechger, Timo; Maris, Gunter; van der Maas, Han L. J.
Titel	Modeling Person-Specific Development of Math Skills in Continuous Time: New Evidence for Mutualism [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, Jul 2-5, 2019).
Quelle	(2019), (6 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Mathematics Skills; Skill Development; Time; Models; Electronic Learning; Computation; Addition; Educational Technology; Elementary School Students + Suchen Sie Ihr Suchwort? Mathmatics achievement; Mathematics ability; Mathematische Kompetenz; Kompetenzentwicklung; Qualifikationsentwicklung; Zeit; Analogiemodell; Unterrichtsmedien
Abstract	In this study, we fitted a mixed-effects nonlinear continuous-time mutualism model of skill development proposed by van der Maas et al. (2006) to naturally collected irregularly spaced time series data from an online adaptive practice system for mathematics called Math Garden. Results showed that the mutualism model provided a better fit to the data than a g-factor model. The paper illustrates continuous-time modeling of irregularly-spaced multivariate time series data that are increasingly prevalent in modern learning systems. [For the full proceedings, see ED599096.] (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	2020/1/01