Tell Me Why! Content Knowledge Predicts Process-Orientation of Math Researchers' and Math Teachers' Explanations

Autor/inn/en	Lachner, Andreas; Nückles, Matthias
Titel	Tell Me Why! Content Knowledge Predicts Process-Orientation of Math Researchers' and Math Teachers' Explanations
Quelle	In: Instructional Science: An International Journal of the Learning Sciences, 44 (2016) 3, S.221-242 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0020-4277
DOI	10.1007/s11251-015-9365-6
Schlagwörter	Pedagogical Content Knowledge; Predictor Variables; Educational Quality; Instructional Effectiveness; Mathematics Instruction; Mathematics Teachers; Educational Researchers; Expertise; Professional Personnel; Comparative Analysis; Teaching Methods; Scaffolding (Teaching Technique); Learning Processes + Suchen Sie Ihr Suchwort? Pädagogische Kompetenz; Prädiktor; Quality of education; Bildungsqualität; Unterrichtserfolg; Mathematics lessons; Mathematikunterricht; Mathematics; Teacher; Teachers; Mathematik; Lehrer; Lehrerin; Lehrende; Erziehungswissenschaftler; Erziehungswissenschaftlerin; Expert appraisal; Personalbestand; Teaching method; Lehrmethode; Unterrichtsmethode; Learning process; Lernprozess
Abstract	In two studies, we investigated the impact of instructors' different knowledge bases on the quality of their instructional explanations. In Study 1, we asked 20 mathematics teachers (with high pedagogical content knowledge, but lower content knowledge) and 15 mathematicians (with lower pedagogical content knowledge, but high content knowledge) to provide an explanation about an extremum problem for students. We found that the explanations by teachers and mathematicians mainly differed in their process-orientation. Whereas the teachers mainly presented the solution steps for the problem (product-orientation), the mathematicians also provided information to clarify why a certain step in the solution was required (process-orientation). In Study 2, we investigated the effectiveness of these differing explanations. Eighty students either received a process-oriented mathematician's explanation, a product-oriented mathematics teacher's explanation, or no explanation for learning. We found that students who learned with a process-oriented explanation outperformed students who learned with a product-oriented explanation on an application test. Students who only had the problem but no explanation for learning showed the lowest learning gains. Apparently, deep content knowledge helped instructors generate explanations with high process-orientation, a textual feature that served as a valuable scaffold for students' understanding of mathematical procedures. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01