Roberta Diamanti - Academia.edu (original) (raw)

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Research paper thumbnail of Predictive Factors for Difficulty in Simulation Methodology in Teacher Education

SIMULATION & GAMING, 2024

Background. Simulation methodology in teacher education offers a wide range of practice opportuni... more Background. Simulation methodology in teacher education offers a wide range of practice opportunities in a controlled environment. However, even though not much has been written about the benefits of simulation in teacher training, even less has been said about the difficulties perceived by the participants in doing simulation. Method. In this study we conducted an exploratory longitudinal study which includes 205 postgraduate participants scattered around the globe who took part in a computer mediated simulation in the years 2019 to 2022 as an assessment tool in a master's degree for teacher education. Aside from the positive impact on learning, which has already been disseminated (autor1), some recurring difficulties have been identified and presented in this study. A mixed analysis is performed based on the triangulation between qualitative and quantitative approaches. The qualitative data were analysed using a qualitative content analysis method through an open question about participants' perceptions posttreatment, video recordings and individual final reports. The quantitative data was gathered through a Likert-type questionnaire and analysed using statistical methods.

Research paper thumbnail of Predictive Factors for Difficulty in Simulation Methodology in Teacher Education

SIMULATION & GAMING, 2024

Background. Simulation methodology in teacher education offers a wide range of practice opportuni... more Background. Simulation methodology in teacher education offers a wide range of practice opportunities in a controlled environment. However, even though not much has been written about the benefits of simulation in teacher training, even less has been said about the difficulties perceived by the participants in doing simulation. Method. In this study we conducted an exploratory longitudinal study which includes 205 postgraduate participants scattered around the globe who took part in a computer mediated simulation in the years 2019 to 2022 as an assessment tool in a master's degree for teacher education. Aside from the positive impact on learning, which has already been disseminated (autor1), some recurring difficulties have been identified and presented in this study. A mixed analysis is performed based on the triangulation between qualitative and quantitative approaches. The qualitative data were analysed using a qualitative content analysis method through an open question about participants' perceptions posttreatment, video recordings and individual final reports. The quantitative data was gathered through a Likert-type questionnaire and analysed using statistical methods.

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