The crisis generated by the pandemic has also affected our education system and challenged traditional teaching/learning models both in school and university. Technology has changed learning and emphasized the collaborative and distributed dimensions of knowledge. Classrooms can be considered as knowledge communities, where active learning, the dimension of research, and comparison with peers represent the values of citizenship that is also digital citizenship. The methodological approach defined as "Bayes' class" fits into this context. Bayes' class is a theoretical-operational approach to learning based on research, experience, and discovery. In this paper we present the results of a teaching activity conducted during the lockdown. We started with these questions: how to use technologies to redesign a digitally enhanced learning environment for university internship activities in the look-down phase? How to redesign indirect internship activities? How to continue to accompany future teachers at a distance in building their knowledge, skills, attitudes, and sensibilities? The focus group, conducted at the end of the experience, confirmed that the “Bayes’ Class” teaching setting, promotes a participatory culture based on interaction, peering, and multitasking. In addition, the experience allowed for the enhancement of the indirect internship as a community of practice

The classroom as a research community: an innovative methodological approach for e-learning.

M. Baldassarre;L. Sasanelli;P. Lisimberti
2021

Abstract

The crisis generated by the pandemic has also affected our education system and challenged traditional teaching/learning models both in school and university. Technology has changed learning and emphasized the collaborative and distributed dimensions of knowledge. Classrooms can be considered as knowledge communities, where active learning, the dimension of research, and comparison with peers represent the values of citizenship that is also digital citizenship. The methodological approach defined as "Bayes' class" fits into this context. Bayes' class is a theoretical-operational approach to learning based on research, experience, and discovery. In this paper we present the results of a teaching activity conducted during the lockdown. We started with these questions: how to use technologies to redesign a digitally enhanced learning environment for university internship activities in the look-down phase? How to redesign indirect internship activities? How to continue to accompany future teachers at a distance in building their knowledge, skills, attitudes, and sensibilities? The focus group, conducted at the end of the experience, confirmed that the “Bayes’ Class” teaching setting, promotes a participatory culture based on interaction, peering, and multitasking. In addition, the experience allowed for the enhancement of the indirect internship as a community of practice
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/361341
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