The study explores how online and digital resources shape education, looking at teachers' competencies in the schools of the northern region of India. The research uses a mixed-method design featuring tools, interviews, and focus group discussions to assess digital competence with its contextual nuances. This work focuses on the transformative…

Computer Science (CS) is a vital subject in K-12 education, and acquiring proficiency in CS is essential for nurturing talent. However, current teaching practices often rely on standardized tests to evaluate academic performance, which may not offer a comprehensive and multidimensional assessment of students' competency in learning CS.…

Background/purpose: Science education has gained more prominence as a means of educating students for the demands of a technologically evolved world. Understanding the variables influencing students' science achievement is vital for educational policymakers and practitioners. Materials/methods: The study used a hierarchical multiple regression…

The promotion and implementation of programming education in primary and secondary schools in the intelligent era are associated with high-quality information technology (IT) teachers who possess programming literacy. IT teachers' programming literacy requires a scientific and reasonable index system for quantitative evaluation. On the basis of…

This study examined the impact of a U.S. federal teacher professional learning (PL) Fulbright program on computational literacy and artificial intelligence (AI) education for K-12 teachers (n = 21) from resource-constrained countries. Occurring shortly after the rise of generative AI in November 2023, the program may have further accentuated AI's…

The EIR-funded Work-Based Learning for Computer Science (WBL4CS) grant implemented a three-course, two-year Computer Science (CS) pathway in 20 Rhode Island High Schools. Evaluators from Education Development Center (EDC) employed a cluster randomized controlled trial to study the impact of integrating a Work-Based Learning course into the first…

In this study, we have examined gender differences in the way students relate to information and communication technologies (ICT), to learn more about their perceptions of gender-based stereotypes in this area. This study is based on the results of the 2018 International Computer and Information Literacy Study (ICILS), specifically regarding…

This study evaluates the effectiveness of a machine learning (ML) integrated science curriculum implemented within the Science Research Mentorship Program (SRMP) for high school youth at the American Museum of Natural History (AMNH) over 2 years. The 4-week curriculum focused on ML knowledge gain, skill development, and self-efficacy, particularly…

This study examines how secondary-school students recognize and relate to artificial intelligence (AI) and the meanings they attribute to it in their everyday lives. Using a quantitative, descriptive, cross-sectional design, we explore the subjectivities of a purposive sample of 576 students from both public and private schools. The analysis…

Project Tomorrow's Speak Up® Research reports have advocated for a broader definition of the digital divide to include access challenges at home and the obstacles K-12 students face in gaining access to high quality digital tools and resources to support classroom learning. Project Tomorrow, in collaboration with Spectrum Business, is creating a…

This paper explores how minoritized Computer Science (CS) students articulate their sense of critical agency to positively impact the world around them, both for today and the future, when participating in a Girls Who Code program focused on ethics, equity, and underrepresentation in computing. Observations, interviews, and surveys were conducted…

In 2019, the Rhode Island Department of Education (RIDE), in partnership with the University of Rhode Island (URI), launched the Work-Based Learning for Computer Science (WBL4CS) project through an Education Innovation Research (EIR) grant. The initiative aimed to expand access to computer science (CS) education for high school students,…

In a historical moment in which Artificial Intelligence and machine learning have become within everyone's reach, science education needs to find new ways to foster "AI literacy." Since the AI revolution is not only a matter of having introduced extremely performant tools but has been determining a radical change in how we conceive and…

The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…