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Dataset . 2023
License: CC BY
Data sources: Sygma
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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FEDORA. Data from teaching modules implementations in Italy

Authors: Tasquier, Giulia; Levrini, Olivia; Barelli, Eleonora; Caramaschi, Martina; De Zuani Cassina, Francesco; D'Orto, Emma; Miani, Lorenzo; +2 Authors

FEDORA. Data from teaching modules implementations in Italy

Abstract

The dataset contains data collected in two-round implementations of teaching modules with Italian secondary school students. The modules concern interdisciplinary topics aimed to develop inter-multi-transdisciplinary skills, imagination or “future-scaffolding” skills (skills that refer to ability to construct visions of the future that empower action in the present with an eye on the horizon). Each implementation lasted between 4 to 50 hours, and different tools (e.g. questionnaires, protocols for focus group and/or individual interviews, classroom video-audio recording, written essays) were used to collect data (before, during and after the implementation). The implementations have been carried out in different contexts (formal, informal) and involved more than 18 students.. The contexts were chosen so as to have a rich and differentiated set of cases, different for age, gender, culture and contexts. In Italy possible contexts for implementation are: classroom contexts of secondary schools (11-19 years of students); afternoon (20h) courses and activities organises in collaborations between universities and schools within established national programs like “Progetto Lauree Scientifiche” (16-19 years of students). Thus, the dataset contains pseudo-anonymised answers to questionnaires, excerpts of written essays, pseudo-anonymized transcripts of the most significant parts of audio/video-recorded individual interviews, focus groups, classroom activities (in the national language). The dataset includes data resulting from the quantitative and qualitative analysis of these materials. The dataset was used for multiple rounds of analysis or by other users interested in investigations on themes and dynamics that characterize teaching/learning processes in science education.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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