Assessing Approaches to Learning with Nonparametric Multidimensional Scaling

Autor/inn/en	Knezek, Gerald; Gibson, David; Christensen, Rhonda; Trevisan, Ottavia; Carter, Morgan
Titel	Assessing Approaches to Learning with Nonparametric Multidimensional Scaling
Quelle	In: British Journal of Educational Technology, 54 (2023) 1, S.126-141 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Gibson, David) ORCID (Christensen, Rhonda) ORCID (Trevisan, Ottavia)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0007-1013
DOI	10.1111/bjet.13275
Schlagwörter	Learning Analytics; Nonparametric Statistics; Multidimensional Scaling; STEM Education; Middle School Students; Educational Games; Astronomy; Epistemology; Network Analysis; Semantics + Suchen Sie Ihr Suchwort? Mehrdimensionale Analysis; STEM; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; Educational game; Lernspiel; Astronomie; Erkenntnistheorie; Netzplantechnik; Semantik
Abstract	This article reports on a trace-based assessment of approaches to learning used by middle school aged children who interacted with NASA Mars Mission science, technology, engineering and mathematics (STEM) games in "Whyville," an online game environment with 8 million registered young learners. The learning objectives of two games included awareness and knowledge of NASA missions, developing knowledge and skills of measurement and scaling, applying measurement for planetary comparisons in the solar system. Trace data from 1361 interactions were analysed with nonparametric multidimensional scaling methods, which permitted visual examination and statistical validation, and provided an example and proof of concept for the multidimensional scaling approach to analysis of time-based behavioural data from a game or simulation. Differences in approach to learning were found illustrating the potential value of the methodology to curriculum and game-based learning designers as well as other creators of online STEM content for pre-college youth. The theoretical framework of the method and analysis makes use of the Epistemic Network Analysis toolkit as a post hoc data exploration platform, and the discussion centres on issues of semantic interpretation of interaction end-states and the application of evidence centred design in post hoc analysis. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01