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Adam V. Maltese; Kelli M. Paul; Bárbara Yarza; Lauren Penney – Educational Technology Research and Development, 2024
In this manuscript, we describe a coding club we created and implemented during the COVID-19 pandemic. We were purposeful in creating the club to: (a) focus on design and problem solving as the basis for learning computer coding and (b) include elements to improve the engagement of girls. We ran multiple iterations of a Girls Design with Code Club…
Descriptors: Clubs, Females, Design, Problem Solving
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André Coners; Benjamin Matthies; Carolin Vollenberg; Julian Koch – Journal of Statistics and Data Science Education, 2025
The proficient handling of data can undoubtedly be regarded as a key skill for the future. However, the need for data competencies is not limited to traditional professions in the information technology environment but is rather necessary across industries and work fields. Consequently, there is a call to integrate such Data Literacy and Data…
Descriptors: Statistics Education, Higher Education, Information Science Education, Computer Science Education
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Nidhi Bansal; Heena Choudhary – International Journal of Lifelong Education, 2024
Digital literacy (DL) training improves the participants' digital skills and engagements and achieves desired online benefits and opportunities. However, there remains a gap in understanding whether the acquired skills effectively translate into tangible outcomes. This study explores how digital literacy training programs (DLTPs) serve as…
Descriptors: Foreign Countries, Digital Literacy, Access to Computers, Computer Science Education
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Christel Sirocchi; Annika Pofantis Ostergren; Alessandro Bogliolo – ACM Transactions on Computing Education, 2024
Digital competence (DC) is a broad set of skills, attitudes, and knowledge for confident, critical, and responsible use of digital technologies in every aspect of life. DC proves essential in the contemporary digital landscape, yet its diffusion is hindered by biases, misunderstandings, and limited awareness. Teaching Informatics in the…
Descriptors: Computer Science Education, Information Science Education, Coding, Digital Literacy
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Anna Donhauser; Philipp Bitzenbauer; Linda Qerimi; Stefan Heusler; Stefan Küchemann; Jochen Kuhn; Malte S. Ubben – Physical Review Physics Education Research, 2024
The present review intends to show the current state of teaching quantum-related content, to analyze and compare its learning efficiency, and to give a systemized overview of quantum-educational activities in the last years. We focus on teaching and learning elements, their innovative tools, and process-oriented studies that are empirically…
Descriptors: Physics, Science Instruction, Quantum Mechanics, Comparative Analysis
Cosmin Holeab; Irina Geanta – European Union, 2024
The report, overseen by the Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI) on behalf of the European Commission and of the European Education and Culture Executive Agency is the second report in the series dedicated to promoting inspiring practices in digital education from the 27 European Union…
Descriptors: Higher Education, Educational Practices, Educational Technology, Technology Uses in Education
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Martha Partridge; Yen-En Kuo; Nattanan Hamapongnitinan; Liming Chen; Haoyuan Huang – International Journal for Students as Partners, 2024
Students as Partners (SaP) approaches have gained more and more traction in higher education in recent years (Dai & Matthews, 2022). Rooted in values such as reciprocity and shared responsibility, SaP can offer opportunities for internationalizing the curriculum and departing from traditional teacher-student hierarchies (Green & Baxter,…
Descriptors: Artificial Intelligence, Digital Literacy, Higher Education, Teacher Student Relationship
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Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Caitlin Petro; Zelaya Al Ayeisha; Shakayla Alston; Anthony Teddy; Myat Win; Sandra Wiktor; Barry Sherman; Jeffrey Cook – School Community Journal, 2024
Students from underrepresented populations--females, working class, and youth from marginalized racial/ethnic groups--are less likely than their middle-class Asian and White male peers to study computer science (CS) in college. The dearth of CS undergraduates from these groups contributes to projected labor force shortages. Sources of the dilemma…
Descriptors: Middle School Students, Computer Science Education, Partnerships in Education, Minority Group Students