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Dataset . 2024
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Dataset . 2024
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FEDORA. Data from teaching module implementations in Finland

Authors: Hyyppä, Iina; Rasa, Tapio; Laherto, Antti;

FEDORA. Data from teaching module implementations in Finland

Abstract

The dataset contains data collected in two-round implementations of new experimental teaching-learning course “My city of the future”, with Finnish secondary school students, that are analysed to capture the main trends in the data regarding the established framework, with specific focus on effects on the course module on students, and the capacity of the module to address higher-level standards of future-oriented science education. Specifically, the dataset includes: (i) answers to questionnaires, (ii) transcripts of interviews (iii) materials created by students (in Finnish), (iv) processed versions of aforementioned data such as coded interview transcripts or numeric data on code frequencies, and (v) results from the analysis of this data using thematic, discourse and phenomenographic qualitative methods. An aggregated version of student’s backgrounds (e.g. gender ratios) are also provided. FEDORA Project README: README Data Set Title: FEDORA. Data from teaching modules implementations in Finland Data Set Author/s: Antti Laherto, Tapio Rasa, Iina Hyyppä (University of Helsinki) Data Set Contact Person/s: Tapio Rasa (University of Helsinki), ORCID 0000-0003-1315-5207, tapio.rasa@helsinki.fi; Data Set License: this data set is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Publication Year: 2024 Project Info: FEDORA (Future-oriented Science EDucation to enhance Responsibility and engagement in the society of Acceleration and uncertainty, funded by European Union, Horizon 2020 Programme. Grant Agreement num. 872841, www.fedora-project.eu) Data set Contents The data set consists of: 1) Interview transcripts from students who participated in an experimental, twice implemented future-oriented science learning module ("My City of the Future") in Finland over 2022-2023; 2) Students' output in future-oriented learning tasks over the module; 3) Questionnaire data on students' future thinking; 4) Students' background data in aggregate, anonymised form (e.g. gender ratio); 5) Processed forms of aforementioned data (such as qualitatively coded datasets). Data set Documentation See DOI:10.5281/zenodo.8199147 (TBA)

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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