Identifying Transfer of Inquiry Skills across Physical Science Simulations Using Educational Data Mining

Autor/inn/en	Sao Pedro, Michael; Jiang, Yang; Paquette, Luc; Baker, Ryan S.; Gobert, Janice
Titel	Identifying Transfer of Inquiry Skills across Physical Science Simulations Using Educational Data Mining
Quelle	(2014), (8 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Simulation; Transfer of Training; Bayesian Statistics; Inquiry; Comparative Analysis; Science Instruction; Models; Learning Processes; Grade 8; Middle School Students; Learning Activities; Predictive Validity; Intelligent Tutoring Systems; Learning Analytics; Physics; Energy; Scientific Concepts; Goodness of Fit; Suburban Schools; Massachusetts + Suchen Sie Ihr Suchwort? Simulation program; Simulationsprogramm; Training; Transfer; Ausbildung; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Analogiemodell; Learning process; Lernprozess; School year 08; 8. Schuljahr; Schuljahr 08; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; Lernaktivität; Intelligentes Tutorsystem; Physik; Energie; Suburban area; Outskirts; Suburb; School; Schools; Vorort; Vorstadt; Schule; Master-Studiengang
Abstract	Students conducted inquiry using simulations within a rich learning environment for 4 science topics. By applying educational data mining to students' log data, assessment metrics were generated for two key inquiry skills, testing stated hypotheses and designing controlled experiments. Three models were then developed to analyze the transfer of these inquiry skills between science topics. Model one, Classic Bayesian Knowledge Tracing, assumes that either complete transfer of skill occurs or no transfer occurs; model two (BKT-PST), an extension of BKT, assumes partial transfer and tests that assumption; and model three, a variant of BKT-PST, assumes no transfer and tests this assumption. An analysis of models one and two suggest that transfer of these inquiry skills across topics did occur. This work makes contributions to methodological approaches for measuring fine-grained skills using log files, as well as to the literature on the domain-specificity vs. domain-generality of inquiry skills. [This paper was published in: "Proceedings of the International Conference of Learning Sciences," 2014.] (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01