Background: Preparing preservice teachers for teaching placements and future careers is crucial. However, their motivation often fluctuates as they gain experience and receive feedback from influential sources. While previous studies have examined changes in preservice teachers' motivation over time, there has been little research on how this motivation varies in relation to performance during simulations.
Aims: We explored how performance on a series of classroom simulation sessions predicts preservice teachers' self-efficacy, career intentions, and perceived fit with the profession, after controlling for the baseline levels.
Sample: Participants were 1411 preservice teachers from an undergraduate teacher education programme in Australia (M = 20.27 years, SD = 4.54).
Methods: Data were collected from students enrolled in an introduction to teaching course in a 4-year teacher education programme. Participants completed three classroom simulation sessions spaced over a 3-week period. We used latent change structural equation modelling to test the effects of performance on classroom simulations on preservice teachers' self-efficacy, career intentions and perceived person-vocation fit.
Results: The level of performance on classroom simulations significantly predicted changes in self-efficacy and person-vocation fit (but not career intentions), even after controlling for baseline levels of the constructs, as well as gender and age. Moreover, the change in teaching self-efficacy was progressively more pronounced after the second and third classroom simulation sessions. Finally, both age and gender were found to be associated with preservice teachers' motivation to teach.
Conclusions: The implications for practice are that preservice teacher motivation may respond well to regular, repeated teaching-related simulations.
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http://dx.doi.org/10.1111/bjep.12761 | DOI Listing |
Background: Teachers' goals play an important role in teaching quality and student outcomes. However, the processes through which this aspect of teacher motivation translates into specific teaching behaviours remain unclear.
Aims: This study investigates how goals directed at students and the classroom are associated with visual information processing of classroom events, aiming to link teacher motivation with professional vision.
Background: Preparing preservice teachers for teaching placements and future careers is crucial. However, their motivation often fluctuates as they gain experience and receive feedback from influential sources. While previous studies have examined changes in preservice teachers' motivation over time, there has been little research on how this motivation varies in relation to performance during simulations.
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The National Center for School Crisis and Bereavement, Children's Hospital Los Angeles, Los Angeles, CA, USA.
In recent decades, there has been increased advocacy for death education as well as grief literacy. Simultaneously, digital learning has been extensively integrated into higher education, particularly post-COVID-19. The study's aim was to explore the use of digitally-delivered death education training, related to childhood bereavement, to gain insight into participants' learning outcomes and the contribution of the digital platform.
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February 2025
Business School, University of Exeter, Exeter, United Kingdom.
Objective: Rumination and anxiety have been posited as correlates of smartphone dependence (SPD). However, little is known regarding how the components of both affect SPD symptoms at subtle levels. Therefore, we used the network analysis approach to identify the connections at a micro level to provide possible interventions for reducing SPD symptoms.
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February 2025
Department of Educational Sciences, Faculty of Education, İnönü University, 44280, Malatya, Turkey.
The present study aimed to explore the potential moderating effects of extracurricular study habits, internet usage duration, gender and emotion regulation skills on internet addiction of preservice teachers. The sample consisted of 492 preservice teachers (308 female) from 10 different institutions in Turkey, who voluntarily provided data. The findings revealed that emotion regulation skills, particularly reappraisal, interacted with daily internet usage time in predicting internet addiction.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!