A personalized feedback system to support teacher training

This paper aims to illustrate an automated system developed to give formative and personalized feedback to teachers in training. It is an expert system (Paviotti, Rossi & Zarka, 2012) that uses concrete examples, cases and scenarios to guide the engaged learners (Leake, 1996). In this regard, th...

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Main Authors: De Angelis Marta, Miranda Sergio
Format: Article
Language:English
Published: Sciendo 2023-06-01
Series:Research on Education and Media
Subjects:
Online Access:https://doi.org/10.2478/rem-2023-0005
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author De Angelis Marta
Miranda Sergio
author_facet De Angelis Marta
Miranda Sergio
author_sort De Angelis Marta
collection DOAJ
description This paper aims to illustrate an automated system developed to give formative and personalized feedback to teachers in training. It is an expert system (Paviotti, Rossi & Zarka, 2012) that uses concrete examples, cases and scenarios to guide the engaged learners (Leake, 1996). In this regard, this system is able to create questionnaires, deliver them, collect and analyze data, send feedback to the participants to provide information about their beliefs and behaviors about teaching and learning processes. Far from constituting an assessment of teaching practices, the automated feedback demonstrates its usefulness in identifying teachers’ mindframes at an early stage, so as to be able to implement more specific and personalized training. This allows its application to be extended to further training areas as well as constituting an effective approach for need analysis and a preparatory action for numerous training activities (guided discussion with experts, observation on practice, modeling, etc.).
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spelling doaj.art-7d350608a46840408df9ccaa57d01b522023-02-05T19:46:25ZengSciendoResearch on Education and Media2037-08492023-06-01151303910.2478/rem-2023-0005A personalized feedback system to support teacher trainingDe Angelis Marta0Miranda Sergio1University of Molise, ItalyUniversity of Salerno, ItalyThis paper aims to illustrate an automated system developed to give formative and personalized feedback to teachers in training. It is an expert system (Paviotti, Rossi & Zarka, 2012) that uses concrete examples, cases and scenarios to guide the engaged learners (Leake, 1996). In this regard, this system is able to create questionnaires, deliver them, collect and analyze data, send feedback to the participants to provide information about their beliefs and behaviors about teaching and learning processes. Far from constituting an assessment of teaching practices, the automated feedback demonstrates its usefulness in identifying teachers’ mindframes at an early stage, so as to be able to implement more specific and personalized training. This allows its application to be extended to further training areas as well as constituting an effective approach for need analysis and a preparatory action for numerous training activities (guided discussion with experts, observation on practice, modeling, etc.).https://doi.org/10.2478/rem-2023-0005teacher educationin-service teacher trainingfeedbacktechnologyteaching quality
spellingShingle De Angelis Marta
Miranda Sergio
A personalized feedback system to support teacher training
Research on Education and Media
teacher education
in-service teacher training
feedback
technology
teaching quality
title A personalized feedback system to support teacher training
title_full A personalized feedback system to support teacher training
title_fullStr A personalized feedback system to support teacher training
title_full_unstemmed A personalized feedback system to support teacher training
title_short A personalized feedback system to support teacher training
title_sort personalized feedback system to support teacher training
topic teacher education
in-service teacher training
feedback
technology
teaching quality
url https://doi.org/10.2478/rem-2023-0005
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