Explanatory variables of educational innovation: A model based on personality traits

Carlos Monge López, David Montalvo Saborido, Juan Carlos Torrego Seijo, José María Fernández Batanero
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Abstract

Introduction. Innovation is a relevant concept in the field of education inasmuch as it refers to planned processes aimed at improving school organization, teachers’ professional development, student learning, and more. However, it is an element that is influenced by a wide variety of variables. Teachers’ personality traits are those elements that are capable of describing, explaining, and predicting their behaviour. Method. The objective of this study is to offer a statistical model that explains teaching innovation factors based on teachers’ personality factors. A survey was carried out with 1,040 Spanish teachers in basic education. They were given the Teaching Innovation Factors Questionnaire and the 16 Personality Factors Questionnaire. Results. The multiple linear regression analysis resulted in significant models to predict Institutional Participation (R2 = .16), Psychopedagogical Openness (R2 = .18), and Didactic Planning (R2 = .11). The first of these factors can be predicted based on the following personality traits: self-reliance, liveliness, openness to change, affability, social boldness, and perfectionism. The regression model for the second factor consists of openness to change, affability, dominance, liveliness, self-reliance, and stability. The third factor can be predicted based on openness to change, sensitivity, perfectionism, rule-consciousness, dominance, social daring, liveliness, and vigilance. Discussion and Conclusion. In conclusion, some personality factors are part of models that can predict teaching innovation, especially the opening.
教育创新的解释变量:一个基于人格特质的模型
介绍。创新是教育领域的一个相关概念,因为它指的是旨在改善学校组织、教师专业发展、学生学习等方面的有计划的过程。然而,它是一个受多种变量影响的因素。教师的个性特征是那些能够描述、解释和预测其行为的要素。本研究的目的是提供一个基于教师人格因素解释教学创新因素的统计模型。对1040名西班牙基础教育教师进行了一项调查。分别填写了《教学创新因素问卷》和《16项人格因素问卷》。多元线性回归分析结果显示,预测机构参与(R2 = 0.16)、心理教学开放性(R2 = 0.18)和教学计划(R2 = 0.11)的模型显著。第一个因素可以根据以下人格特征来预测:自力更生、活泼、乐于改变、和蔼可亲、勇于社交和完美主义。第二个因素的回归模型包括对变化的开放性、亲和力、支配性、活力、自力更生和稳定性。第三个因素可以根据对变化的开放程度、敏感性、完美主义、规则意识、支配性、社交勇气、活力和警惕性来预测。讨论与结论。综上所述,一些人格因素是可以预测教学创新,尤其是开放性的模型的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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