FEDORA. Data from teaching module implementations in Finland

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, [e-mail]; 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,<br> 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 <em>See DOI:10.5281/zenodo.8199147 (TBA)</em>本数据集收录了针对芬兰中学生开展的两轮新型实验性教学课程《未来之城》(My City of the Future)的采集数据，旨在通过数据分析挖掘既定框架下的核心趋势，重点关注该课程模块对学生的影响，以及该模块是否具备达成面向未来的高阶科学教育标准的能力。具体而言，本数据集包含以下内容：(i) 问卷作答数据；(ii) 访谈转录文本；(iii) 学生创作的芬兰语学习材料；(iv) 上述数据的加工版本，例如编码后的访谈转录文本或编码频次的数值数据；(v) 采用主题分析、话语分析与现象图式质性研究方法对上述数据进行分析所得的结果。此外，数据集还提供了经汇总的学生背景信息（如性别比例）。 FEDORA项目说明文档： 数据集标题：FEDORA——芬兰教学模块实施相关数据 数据集作者：安蒂·拉赫托（Antti Laherto）、塔皮奥·拉萨（Tapio Rasa）、伊娜·希耶帕（Iina Hyyppä）（赫尔辛基大学） 数据集联系人：塔皮奥·拉萨（Tapio Rasa，赫尔辛基大学），ORCID：0000-0003-1315-5207，邮箱：[e-mail]； 数据集许可协议：本数据集采用知识共享署名4.0国际许可（Creative Commons Attribution 4.0 International，CC BY 4.0）进行分发。 发布年份：2024年 项目概况：FEDORA项目全称为“面向未来的科学教育：提升加速与不确定性社会中的责任感与参与度”（Future-oriented Science EDucation to enhance Responsibility and engagement in the society of Acceleration and uncertainty），由欧盟地平线2020计划资助，资助协议编号：872841，项目官网：www.fedora-project.eu。 数据集内容如下： 1) 2022-2023年间在芬兰参与两轮实施的实验性面向未来科学学习模块《未来之城》(My City of the Future)的学生访谈转录文本； 2) 学生在该模块面向未来的学习任务中产出的成果； 3) 关于学生未来思维的问卷数据； 4) 经汇总、匿名化处理的学生背景数据（如性别比例）； 5) 上述数据的加工版本（例如经质性编码的数据集）。 数据集文档：详见DOI：10.5281/zenodo.8199147（待更新）。