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This dataset provides longitudinal survey data from a European project, ySKILLS, which was focused on the role of digital skills in youths’ development. It contains data from 10,821 participants from Grades 6–10 (in Wave 1) in Estonia, Finland, Germany, Italy, Poland, and Portugal. The data was collected between Spring 2021 and Spring 2023, the participants were recruited through schools, where the data collection also took place, except for online data collections due to restrictions caused by COVID-19. The dataset is novel in its multidimensional approach to the construct of digital literacy. It provides insight into the development of digital skills in youth and the role of digital skills and internet usage in youths’ positive and negative online experiences and wellbeing. It also contains data that allows for the analysis of the role of digital skills in class networks. The data are beneficial for researchers interested in the examination of youths’ online skills, internet usage, online experiences, and wellbeing from a longitudinal perspective.

The study explored practices of the sampled higher education Philippine STEAM educators in assessing learners. Data sourced from the database of a state-funded research on Philippine STEAM education using a Classroom Observation Protocol, included 106 STEAM teachers from purposely selected institutions drawn from 14 regions. Systematic data analysis (through data condensation, data display, and drawing and verifying conclusions) revealed that STEAM teachers used both appropriate traditional and authentic assessment tools and strategies with inclusive integration of technology. Furthermore, results showed that STEAM teachers’ best assessment practices may be categorised as: 1) assessment for career or industry readiness, 2) mounting assessment system to support instruction, and 3) collective and reflective assessment process. COVID-19 pandemic implications and policy recommendations are also offered, which may enhance assessment practices and suggest a perspective in crafting and recommending national and international standards and guidelines on assessment literacy among higher STEAM educators.

The study explored practices of the sampled higher education Philippine STEAM educators in assessing learners. Data sourced from the database of a state-funded research on Philippine STEAM education using a Classroom Observation Protocol, included 106 STEAM teachers from purposely selected institutions drawn from 14 regions. Systematic data analysis (through data condensation, data display, and drawing and verifying conclusions) revealed that STEAM teachers used both appropriate traditional and authentic assessment tools and strategies with inclusive integration of technology. Furthermore, results showed that STEAM teachers’ best assessment practices may be categorised as: 1) assessment for career or industry readiness, 2) mounting assessment system to support instruction, and 3) collective and reflective assessment process. COVID-19 pandemic implications and policy recommendations are also offered, which may enhance assessment practices and suggest a perspective in crafting and recommending national and international standards and guidelines on assessment literacy among higher STEAM educators.