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Felix Winkelnkemper; Lukas Höper; Carsten Schulte – Informatics in Education, 2024
When it comes to mastering the digital world, the education system is more and more facing the task of making students competent and self-determined agents when interacting with digital artefacts. This task often falls to computing education. In the traditional fields of computing education, a plethora of models, guidelines, and principles exist,…
Descriptors: Digital Literacy, Computer Uses in Education, Models, Computer Science Education
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Hanli Geyser – ACM Transactions on Computing Education, 2024
Like digital technologies themselves, programming education is embedded in the colonial matrix of power, and access to programming knowledge demands immersion in the epistemologies of the Global North. While there is a growing body of work exploring ways to decolonise programming education, far more needs to be done. Current research focuses on…
Descriptors: Computer Science Education, Decolonization, Programming, Power Structure
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Chen, Peggy P. – New Directions for Teaching and Learning, 2023
Many introductory computer science (CS) courses are intended to address the increased demand for computer literacy and the development of cross-cutting concepts and practices of computational thinking (CT). Colleges and universities offer introductory CS courses every semester toward this end. The issue is centered on how to support CT learning in…
Descriptors: Introductory Courses, Computer Science Education, Computer Literacy, Thinking Skills
OECD Publishing, 2025
Teachers play a critical role in shaping students' education outcomes in increasingly digital learning environments, in exploiting the benefits of education technology and in protecting students from the risks of digital resources. Rather than reproducing traditional teaching practices in a digital format, effective digital education requires…
Descriptors: Professional Continuing Education, Faculty Development, Teacher Education, Technology Education
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Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
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Hebda, Maryann R. – Gifted Child Today, 2023
As technologically gifted students apply their abilities to computer science, they naturally flow through the talent development stages of potential, competency, and expertise. Processes that have always been important for gifted students to learn as they develop potential are embedded in learning code, which engages the beginning programmer in…
Descriptors: Talent Development, Technology Uses in Education, Technological Literacy, Coding
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Qian, Yingxiao; Choi, Ikseon – Educational Technology Research and Development, 2023
Echoing the increasing emphasis on STEM literacy, computational thinking has become a national priority in K-12 schools. Scholars have acknowledged abstraction as the keystone of computational thinking. To foster K-12 students' computational thinking and STEM literacy, students' ability to think abstractly should be enhanced. However, the existing…
Descriptors: Elementary Secondary Education, Computation, Thinking Skills, Abstract Reasoning
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Frydenberg, Mark – Information Systems Education Journal, 2023
The Internet of Things (IoT) is a network of objects that can exchange data with other devices also connected to the Internet. One of the most common consumer examples of IoT is home automation, as a variety of smart devices, including doorbells, lightbulbs, thermostats, and refrigerators are now available which users can control remotely using…
Descriptors: Internet, Computer Software, Automation, Information Technology
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Mark Frydenberg; William VanderClock – Information Systems Education Journal, 2024
This paper reflects on the process of designing and implementing an update to the "Introduction to Information Technology" course at Bentley University, a business university in New England. Driven by a university-wide curriculum reform initiative and following best practices from digital literacy frameworks and IS model curricula, the…
Descriptors: Computer Science Education, Educational Change, Curriculum Development, Pilot Projects
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Zendler, Andreas – Education and Information Technologies, 2019
"cpm.4.CSE/IRT" ("c"ompact "p"rocess "m"odel for "C"ompetence "S"cience "E"ducation based on "IRT" models) is a process model for competence measurement based on IRT models. It allows the efficient development of measuring instruments for computer science education.…
Descriptors: Computer Science Education, Computer Literacy, Competence, Evaluation Methods
European Education and Culture Executive Agency, European Commission, 2023
This report presents the results of the 2023 data collection on the structural indicators for monitoring education and training systems in the area of digital competence. The report contains six indicators on key policies in the following areas: 1. curriculum, 2. teachers, 3. assessment, 4. the digital education ecosystem. The paper contains…
Descriptors: Foreign Countries, Technological Literacy, Educational Policy, Curriculum
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Leonard, Ann M.; Woodland, Rebecca H. – Theory Into Practice, 2022
There is a sense of urgency among P-12 educators to dismantle systemic school-based racism and radically transform conditions for teaching and learning in ways that advance equity, social justice, and social-emotional learning (SEL). This transformation cannot be achieved through typical top-down, short-term approaches to school improvement or…
Descriptors: Racial Bias, Social Justice, Social Emotional Learning, Communities of Practice
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Mariano, Diego; Martins, Pedro; Helene Santos, Lucianna; de Melo-?Minardi, Raquel Cardoso – Biochemistry and Molecular Biology Education, 2019
The advent of the high-throughput next-generation sequencing produced a large number of biological data. Knowledge discovery from the huge amount of available biological data requires researchers to develop solid skills in biology and computer science. As the majority of the Bioinformatics professionals are either computer science or life sciences…
Descriptors: Computer Literacy, Computer Science Education, Programming, Biological Sciences
Jeremy Roschelle; Judi Fusco; Pati Ruiz – Digital Promise, 2024
As Artificial Intelligence within education becomes increasingly important, Digital Promise reviewed the guidance documents released by seven states--California, North Carolina, Ohio, Oregon, Virginia, Washington state, and West Virginia--on how to approach artificial intelligence (AI) in education. Throughout this report the authors summarize the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Employment Qualifications, Responsibility
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He, Wu; Zha, Shenghua; Watson, Silvana; He, Yuming – Journal of Information Systems Education, 2022
It is important to ensure educational equity for students with disabilities in online courses as more courses are taught online during the pandemic. This conceptual paper describes the key barriers for instructors to implement inclusive online classes, particularly technology courses, during the COVID-19 pandemic and suggests specific strategies…
Descriptors: Inclusion, Students with Disabilities, Online Courses, COVID-19
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