Okada A.; Sherborne T; Panselinas; G. (2025) CONNECT science with AI transversal skills - 330 students in Brazil, The UK, and Greece. CCBYSA

Database File Name:Okada et al (2025) CONNECT science with AI transversal skillsDatabase Description:Students' self-report perceptions after completing AI activities reflecting about science connection, science skills, science capital and scientific literacies in the context of open schoolingDatabase Citation:Okada A.; Sherborne T; Panselinas; G. (2025) CONNECT science with AI transversal skills - 330 students in Brazil, The UK, and Greece. CCBYSAContact email:[e-mail] URL:https://doi.org/10.21954/ou.rd.26115151Information:<br>This database provides the views of 330 students who participated in CONNECT project in the UK, Brazil and Greecehttps://ordo.open.ac.uk/projects/CONNECT_-_Inclusive_open_schooling_with_future_oriented_science/125821Datasheets in this fileNOTESProvides information about this datasetDATAContains data including responses of 330 students and also analysis about the dataEFAContains data processed from SPSS about Exploratory Factorial Analysis<br><br>TOTALContain cross-national comparative analysis includign graphsGraphsContains graphs using the TOTAL - providing an overiewMethodology used to generated dataQuestionnaire designSemi-structured questionnaire including a combination of open-ended and closed-ended questions.Platform usedQualtrixMultilanguage supportTarget language (English, Greek, Portuguese ) to ensure that respondents can understand and respond to the questions in their preferred language.Questionnaire implementationLogic for sore, feedback and open badge implementedLanguage selectionQualtrics allows respondents to select their preferred language before starting the survey.Data generationThe questionnaire was distributed to the target audience school students through teachers members of CONNECT project who agreed to contribute to this research. They were supported by the authors.Data storageAs respondents submit their responses, Qualtrics stores the data securely in its database infrastructure. Each response is associated with the respondent's unique identifier and includes the language in which the survey was completed.Data analysisExploratory factorial analysis, descriptive analyses and thematic analysis to support mixed methods.Extra InformationCreator of the Instrument used to generate this database:Okada, A. CONNECT-Science self-report instrumentThis database refers to CONNECT project:https://www.connect-science.net/Project description:CONNECT inclusive open schooling with engaging and future oriented scienceFunder:European Commission No. 872814Questionnaire and database location:https://doi.org/10.21954/ou.rd.23566662Questionnaire citation:Okada A. (2024) CONNECT-science to sustainability with inclusive open schooling with engaging and future oriented science. CCBYSAJournal Article using data presented in this database:https://oro.open.ac.uk/54963/Article Citation:Okada, Alexandra; Sherborne, Tony; Panselinas, Giorgos and Kolionis, George (2025). Fostering Transversal Skills through Open Schooling supported by the CARE-KNOW-DO Pedagogical Model and the UNESCO AI Competencies Framework. International Journal of Artificial Intelligence in Education (In Press).License:CCBYSAREC/ 3825<br>