Self-Efficacy, Affective Well-Being, and Intent-to-Leave by Science and Mathematics Teachers: A Structural Equation Model

Ersozlu, Zara; Uşak, Muhammet; Ocean, Jude

doi:10.33225/jbse/21.20.237

Cited by 8 publications

(10 citation statements)

References 86 publications

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“…Thus, the implementation of functional, adaptive and proactive strategies by teachers to cope with burnout has been shown to be very useful, especially in the early stages of teacher training to reduce levels of stress and burnout (Väisänen et al, 2018). Instruction and implementation of strategies based on positive beliefs and affectivity has also been associated with lower stress levels (Karakus et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Predicting teacher resilience by using artificial neural networks: influence of burnout and stress by COVID-19

Ramón¹,

Morales-Rodríguez²,

Pérez-López³

et al. 2023

An. psicol.

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Background: Resilience in teachers allows them to face difficult situations to recover from adversity and there are gender differences. Likewise, artificial intelligence and the techniques associated with it have proven to be very useful in predicting educational variables and studying the interconnection between them after COVID-19. That said, the general objective of this research was to predict the levels of resilience in secondary school teachers through the design of an artificial neural network (ANN). Method: The Brief Resilient Coping Scale, the Maslach Burnout Inventory and the COVID-19 Stress Questionnaire were administered to 401 secondary school teachers (70.6% female) from schools in southeastern Spain, with a mean age of 44.36 years (SD = 9.38). Results: Differences were found in the configuration of the predictive models of resilience between male and female teachers, with the independent variables contributing to different degrees depending on gender. Conclusions: It is highlighted the usefulness of ANNs in the educational setting and the need to design more adjusted programs. Antecedentes: La resiliencia en el profesorado permite afrontar situaciones difíciles y reponerse a la adversidad existiendo diferencias de género al respecto. Asimismo, la inteligencia artificial y las técnicas asociadas a ella han resultado ser de gran utilidad para predecir variables educativas y estudiar la interconexión entre ellas tras la COVID-19. Dicho esto, el objetivo general de esta investigación fue predecir los niveles de resiliencia en las profesoras y profesores de Secundaria a través del diseño de una red neuronal artificial (RNA). Método: Se administró la Escala Breve de Afrontamiento Resiliente, el Inventario de Burnout de Maslach y el Cuestionario de Estrés frente a la COVID-19 a 401 docentes de secundaria (70.6% mujeres) de centros educativos del sureste español, con una edad media de 44.36 años (DT= 9.38). Resultados: Se hallaron diferencias en la configuración de los modelos predictivos de la resiliencia entre profesoras y profesores contribuyendo las variables independientes en diferente grado en función del género. Conclusiones: Se pone de manifiesto la utilidad de las RNA en el ámbito educativo y la necesidad de diseñar programas más ajustados.

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Section: Introductionmentioning

confidence: 99%

Predicting teacher resilience by using artificial neural networks: influence of burnout and stress by COVID-19

Ramón¹,

Morales-Rodríguez²,

Pérez-López³

et al. 2023

An. psicol.

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“…This study uses a survey-based correlational research design with an inquiry model structural approach (Karakus et al, 2021). This study aims to analyze the effect of mathematical resilience and habit of mind on the sociomathematical norms of senior high school students in DKI Jakarta.…”

Section: Methodsmentioning

confidence: 99%

“…The use of SmartPLS software is because it is appropriate for analyzing a research model that integrates empirical theory and facts (Wong, 2013). Before testing the hypothesis, convergent validity and reliability tests were first carried out, as well as the discriminant external model (Karakus et al, 2021). Hypothesis testing was carried out to examine the relationship between latent variables, namely mathematical resilience, habits of mind and sociomathematical norms.…”

Section: Methodsmentioning

confidence: 99%

Mathematical Resilience, Habits of Mind, and Sociomathematical Norms by Senior High School Students in Learning Mathematics: A Structured Equation Model

Maarif

Fitriani

2023

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The process of learning mathematics is determined by cognitive aspects and requires an affective domain. The affective domain is essential in developing mathematical abilities to solve mathematical problems. This study aims to analyze the effect of mathematical resilience (RM) and habits of mind (HOM) on socio-mathematical norms (SMN) in mathematics learning. The research method used is quantitative, with survey techniques and structured inquiry models. The sample in this study was 100 high school students in the DKI Jakarta area. Data analysis was performed using the structured equation model (SEM) using SmartPLS software. This research uses eight items of mathematics resilience instrument, ten items of habits of mind instrument, and 12 items of socio-mathematical norm instrument. Each instrument has four alternative answers with a Likert scale. The results of the study concluded: 1) there is a positive impact of mathematical resilience on socio-mathematical norms; 2) there is a positive impact of habits of mind on socio-mathematical norms; 3) there is a positive impact of mathematical resilience on habits of mind; 4) there is a positive impact of mathematical resilience on sociomathematical norms mediated by habits of mind.

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“…A SEM may replace regression analysis, analysis of variance, correspondence analysis, factor analysis and cluster analysis to clarify the roles of individual indicators on the total and their interactions with one another [18]. In structural equation modelling, variables that cannot be measured directly and accurately are called latent variables and are measured indirectly through external indicators [19].…”

Section: Variablesmentioning

confidence: 99%

“…Students summarise their takeaways from the course and discuss them at the end of the lesson [16,19] Find resource capacity α3 Using multiple media, students locate resources related to the course [20,21] Active thinking ability α4 Students can find out what they do not understand when faced with known information [23,24] Problem solving ability α5 Students use effective information to solve various problems encountered in learning [18] Extended extension capability α6…”

Section: Student Learning Abilitymentioning

confidence: 99%

Analysis of influencing factors of SPOC course teaching effect using structural equation modelling

Wang

Lin

et al. 2022

Applied Mathematics and Nonlinear Sciences

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As an online and offline teaching mode, small private online courses (SPOC) are widely used in higher education. There is an urgent need in education today to identify the factors that affect the effectiveness of teaching SPOC and to develop strategies to improve the effectiveness of teaching. To enhance the teaching effectiveness of SPOC, this study compares and analyses the factors affecting the teaching effectiveness of SPOC from three perspectives, namely, students’ learning abilities, teachers’ teaching strategies and the classroom learning atmosphere. Following that, a structural equation model (SEM) is used to construct an analysis paradigm of relevant variables and a SEM affecting the effectiveness of SPOC, and six hypotheses were formulated. A survey of the SPOC ‘Aviation Broadcasting’ conducted by the students who enrolled in the School of Zhengzhou Aviation Industry Management College in China served as an example to verify the hypotheses proposed in this paper and provide suggestions for improving the teaching effectiveness of the SPOC through questionnaire research, SPSS analysis and AMOS calculation. Researchers have found that the most influential factor for the teaching effect of SPOC is learning ability of students, followed by teaching design of teachers and classroom learning atmosphere. Based on the research findings, the teaching effect of SPOC can be improved theoretically and practically. The findings of the study provide a reference for decision-making to improve the curriculum effectiveness formulation of SPOC in higher education.

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Self-Efficacy, Affective Well-Being, and Intent-to-Leave by Science and Mathematics Teachers: A Structural Equation Model

Cited by 8 publications

References 86 publications

Predicting teacher resilience by using artificial neural networks: influence of burnout and stress by COVID-19

Predicting teacher resilience by using artificial neural networks: influence of burnout and stress by COVID-19

Mathematical Resilience, Habits of Mind, and Sociomathematical Norms by Senior High School Students in Learning Mathematics: A Structured Equation Model

Analysis of influencing factors of SPOC course teaching effect using structural equation modelling

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