The Relationship Between Attitudes Toward Inclusion, Beliefs About Teaching and Learning, and Subsequent Automatic Evaluations Amongst Student Teachers

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Börnert-Ringleb, M.; Westphal, A.; Zaruba, N.; Gutmann, F.; Vock, M.: The Relationship Between Attitudes Toward Inclusion, Beliefs About Teaching and Learning, and Subsequent Automatic Evaluations Amongst Student Teachers. In: Frontiers in Education 5 (2020), 584464. DOI: https://doi.org/10.3389/feduc.2020.584464

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/11084

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Sum total of downloads: 149




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Abstract: 
Teachers' attitudes toward inclusion are frequently cited as being an important predictor of how successfully a given inclusive school system is implemented. At the same time, beliefs about the nature of teaching and learning are discussed as a possible predictor of attitudes toward inclusion. However, more recent research emphasizes the need of considering implicit processes, such as automatic evaluations, when describing attitudes and beliefs. Previous evidence on the association of attitudes toward inclusion and beliefs about teaching and learning is solely based on explicit reports. Therefore, this study aims to examine the relationship between attitudes toward inclusion, beliefs about teaching and learning, and the subsequent automatic evaluations of pre-service teachers (N = 197). The results revealed differences between pre-service teachers' explicit attitudes/beliefs and their subsequent automatic evaluations. Differences in the relationship between attitudes toward inclusion and beliefs about teaching and learning occur when teachers focus either on explicit measures or automatic evaluations. These differences might be due to different facets of the same attitude object being represented. Relying solely on either explicit measures or automatic evaluations at the exclusion of the other might lead to erroneous assumptions about the relation of attitudes toward inclusion and beliefs about teaching and learning.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Philosophische Fakultät

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 83 55.70%
2 image of flag of United States United States 24 16.11%
3 image of flag of China China 9 6.04%
4 image of flag of United Kingdom United Kingdom 5 3.36%
5 image of flag of Austria Austria 3 2.01%
6 image of flag of Trinidad and Tobago Trinidad and Tobago 2 1.34%
7 image of flag of Italy Italy 2 1.34%
8 image of flag of India India 2 1.34%
9 image of flag of Indonesia Indonesia 2 1.34%
10 image of flag of Spain Spain 1 0.67%
    other countries 16 10.74%

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