Using Log Data to Validate Performance Assessments of Mathematical Modeling Practices

Autor/inn/en	Olsen, Joe; Adair, Amy; Gobert, Janice; Sao Pedro, Michael; O'Brien, Mariel
Titel	Using Log Data to Validate Performance Assessments of Mathematical Modeling Practices
Quelle	(2022), (4 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Mathematical Models; Intelligent Tutoring Systems; Performance Based Assessment; Data Collection; Learning Analytics; Competence; Computer Assisted Testing; Multiple Choice Tests; High School Students; Science Tests; Computer Simulation; Science Laboratories; Graphs + Suchen Sie Ihr Suchwort? Mathematical model; Mathematisches Modell; Intelligentes Tutorsystem; Leistungsermittlung; Data capture; Datensammlung; Kompetenz; Multiple choice examinations; Multiple-choice tests, Multiple-choice examinations; Multiple-Choice-Verfahren; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Computergrafik; Computersimulation; Grafische Darstellung
Abstract	Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that assess these competencies in science inquiry contexts. Through our design processes, we developed a method for validating the assessments that takes advantage of the unique opportunities afforded by collecting log data. Here, we describe this method and demonstrate its utility by analyzing students' competencies with one example sub-practice of mathematical modeling, "plotting controlled data generated from a simulation." [This is a paper in: M. M. Rodrigo et al. (Eds.): AIED 2022, LNCS 13356, (pp. 488--491), 2022.] (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01