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 skills

Database 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 schooling

Database Citation:

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

Contact email:

Database URL:

Information:

This database provides the views of 330 students who participated in CONNECT project in the UK, Brazil and Greece

Datasheets in this file

NOTES

Provides information about this dataset

DATA

Contains data including responses of 330 students and also analysis about the data

EFA

Contains data processed from SPSS about Exploratory Factorial Analysis

TOTAL

Contain cross-national comparative analysis includign graphs

Graphs

Contains graphs using the TOTAL - providing an overiew

Methodology used to generated data

Questionnaire design

Semi-structured questionnaire including a combination of open-ended and closed-ended questions.

Platform used

Qualtrix

Multilanguage support

Target language (English, Greek, Portuguese ) to ensure that respondents can understand and respond to the questions in their preferred language.

Questionnaire implementation

Logic for sore, feedback and open badge implemented

Language selection

Qualtrics allows respondents to select their preferred language before starting the survey.

Data generation

The 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 storage

As 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 analysis

Exploratory factorial analysis, descriptive analyses and thematic analysis to support mixed methods.

Extra Information

Creator of the Instrument used to generate this database:

Okada, A. CONNECT-Science self-report instrument

This database refers to CONNECT project:

https://www.connect-science.net/

Project description:

CONNECT inclusive open schooling with engaging and future oriented science

Funder:

European Commission No. 872814

Questionnaire and database location:

Questionnaire citation:

Okada A. (2024) CONNECT-science to sustainability with inclusive open schooling with engaging and future oriented science. CCBYSA

Journal Article using data presented in this database:

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:

CCBYSA

REC/ 3825