| Literature DB >> 28642727 |
Patricia Heitmann1, Martin Hecht2, Ronny Scherer3, Julia Schwanewedel4.
Abstract
Argumentation is considered crucial in numerous disciplines in schools and universities because it constitutes an important proficiency in peoples' daily and professional lives. However, it is unclear whether argumentation is understood and practiced in comparable ways across disciplines. This study consequently examined empirically how students perceive argumentation in science and (first) language lessons. Specifically, we investigated students' beliefs about the relevance of discourse and the role of facts. Data from 3,258 high school students from 85 German secondary schools were analyzed with multigroup multilevel structural equation modeling in order to disentangle whether or not differences in argumentation across disciplines exist and the extent to which variation in students' beliefs can be explained by gender and school track. Results showed that students perceived the role of facts as highly relevant for science lessons, whereas discursive characteristics were considered significantly less important. In turn, discourse played a central role in language lessons, which was believed to require less knowledge of facts. These differences were independent of students' gender. In contrast, school track predicted the differences in beliefs significantly. Our findings lend evidence on the existence of disciplinary school cultures in argumentation that may be the result of differences in teachers' school-track-specific classroom practice and education. Implications in terms of a teacher's role in establishing norms for scientific argumentation as well as the impact of students' beliefs on their learning outcomes are discussed.Entities:
Keywords: argumentation; beliefs; disciplinary school culture; language education; science education
Year: 2017 PMID: 28642727 PMCID: PMC5462966 DOI: 10.3389/fpsyg.2017.00946
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Multilevel model with factor means for facts and discourse (Model 5). Numbers in black refer to science; numbers in gray refer to language. The figure shows the unstandardized estimates. Factor means are the path coefficients ranging from the triangles to the latent variables. Double-headed arrows for variances have been omitted for the sake of clarity.
Figure 2Multilevel model with gender and school track as predictors (Model 6). Numbers in black refer to science; numbers in gray refer to language. The figure shows the standardized estimates. Gender (0 = boys, 1 = girls; group-mean centered) and school track (0 = nonacademic, 1 = academic school track; grand-mean centered) were dichotomously coded. The measurement model corresponds to that shown in Figure 1.