Attitudes of future teachers toward death education: An analysis of the impact of multiple factors.
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| Title: | Attitudes of future teachers toward death education: An analysis of the impact of multiple factors. |
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| Authors: | Colomo Magaña, Ernesto (AUTHOR), Cívico Ariza, Andrea (AUTHOR), Rubio Gragera, María (AUTHOR), Colomo Magaña, Alejandro (AUTHOR) |
| Source: | Death Studies. 2026, Vol. 50 Issue 6, p926-939. 14p. |
| Subjects: | Thanatology, Attitudes toward death, Cross-sectional method, Psychology of teachers, Research funding, T-test (Statistics), Scientific observation, Questionnaires, Kruskal-Wallis Test, Quantitative research, Descriptive statistics, Mann Whitney U Test, Inferential statistics, Comparative studies |
| Geographic Terms: | Spain |
| Abstract: | The aim of this research is to analyze the attitude of future teachers toward death education and which are the factors that influence their predisposition about it. For this, a quantitative study with a descriptive-inferential cross-sectional design was carried out with a sample composed of 204 Primary Education Degree students from the University of Malaga. The Death Education Attitudes Scale-Teachers was implemented as a validated instrument, in which biological, emotional, identity, contextual, formative and motivational factors were considered within the attitude's incidence. The results show a moderately positive attitude, with significant differences according to the mentioned factors (sex, loss of a beloved one, anxiety about death, religious belief, type of school, teaching method, particular interest about this topic, etc.). As a conclusion, there is a need to adopt educational policies that reformulate future teachers' initial training and that considerate emotional management toward death. [ABSTRACT FROM AUTHOR] |
| Copyright of Death Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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