A Method for Assessing Students' Interpretations of Contextualized Data

Autor/inn/en	Groth, Randall E.; Choi, Yoojin
Titel	A Method for Assessing Students' Interpretations of Contextualized Data
Quelle	In: Educational Studies in Mathematics, 114 (2023) 1, S.17-34 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Groth, Randall E.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1954
DOI	10.1007/s10649-023-10234-z
Schlagwörter	Student Evaluation; Data Interpretation; Evaluative Thinking; Evaluation Methods; Models; Ambiguity (Context); Persuasive Discourse; Statistics + Suchen Sie Ihr Suchwort? Schulnote; Studentische Bewertung; Data evaluation; Datenauswertung; Analogiemodell; Persuasion; Persuasive Kommunikation; Statistik
Abstract	Learning to interpret data in context is an important educational outcome. To assess students' attainment of this outcome, it is necessary to examine the interplay between their contextual and statistical reasoning. We describe a research method designed to do so. The method draws upon Toulmin's (1958, 2003) model of argumentation for the first stage of qualitative data analysis and the Structure of the Observed Learning Outcome (SOLO) (Biggs & Collis, 1991) model for the second stage. Toulmin analyses help identify the justifications and expressions of uncertainty students provide in their interpretive arguments. Subsequent analyses based on the multi-modal conceptualization of SOLO help characterize the quality of student arguments relative to one another. Existing literature and an empirical example are drawn upon to explain how the Toulmin and SOLO models can be used in tandem to analyze students' interpretations of contextualized data. We also explain how pairing Toulmin and SOLO can address theoretical and practical limitations that arise when using just one of the two models on its own. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01