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Rizk, Nadya; McKenzie, Matt; Samrout, Marya – Teaching Science, 2022
Coding is a process often associated with computers. Nevertheless, coding is a thought process that can be mastered even without a computer. In NSW, primary students are introduced to computational and algorithmic thinking as early as Stage 1. Yet, teaching coding to young students is not always easy for teachers, mostly because the process is…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
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Takada, Shingo; Cuadros-Vargas, Ernesto; Impagliazzo, John; Gordon, Steven; Marshall, Linda; Topi, Heikki; van der Veer, Gerrit; Waguespack, Leslie – Education and Information Technologies, 2020
Various computing subdisciplines, such as computer science and software engineering, each have their own curricular guidelines. They can be very difficult to understand and compare for people such as prospective students, industry personnel, and even faculty members. This is compounded by a lack of information surrounding undergraduate computing…
Descriptors: Computer Science Education, Curriculum Development, Academic Standards, Visualization
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Babb, Jeffry; Sharp, Jason H.; Waguespack, Leslie; Abdullat, Amjad; Dana, Kareem – Information Systems Education Journal, 2020
Just as the adoption of eXtensible Business Reporting Language has standardized the exchange, transmission, and reporting of accounting and financial data, this paper proposes the eXtensible Computing Curriculum Reporting Language as a standard for the exchange, transmission, and reporting of computing curriculum information in hopes of achieving…
Descriptors: Computer Science Education, Curriculum, Semantics, Vocabulary
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Trofimova, Ellina; Asgharzadeh Kangachar, Shahla; Weynberg, Karen D.; Willows, Robert D.; Jaschke, Paul R. – Biochemistry and Molecular Biology Education, 2023
With the global increase of infections caused by antibiotic-resistant bacterial strains, there is an urgent need for new methods of tackling the issue. Genomic analysis of bacterial strains can help to understand their virulence and antibiotic resistance profile. Bioinformatic skills are in great demand across the biological sciences. We designed…
Descriptors: Genetics, Science Instruction, Microbiology, Information Science
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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
Daryl Monear – Washington Student Achievement Council, 2024
Science, technology, engineering, and math (STEM) are vital to Washington's economy. Because of this, it's essential for our state to align education and career training with workforce needs. The STEM Education Innovation Alliance advises the State of Washington's Governor on policies to align and advance STEM education. The STEM Alliance brings…
Descriptors: STEM Education, Educational Innovation, Educational Policy, Postsecondary Education
M. Coenraad; M. Hodge; P. Ruiz; K. Mills; Q. Burke – Digital Promise, 2021
This interview protocol includes five steps to conduct an empathy interview. In the Empathize Phase of designing an inclusive computing pathway, empathy interviews are conducted. Empathy interviews allow you to hear the stories and experiences of someone who will use what you are designing and learn about their realities, in this case, a student.…
Descriptors: Interviews, Questioning Techniques, Empathy, Design
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Guth, Douglas J. – Community College Journal, 2022
Digital technologies are an integral facet of human existence, changing how humans find information, the way humans communicate and even human behavior. This transition applies to education as well, with the continued growth of artificial intelligence (AI) reshaping the higher education landscape at two- and four-year institutions alike. AI is…
Descriptors: Community Colleges, Artificial Intelligence, Computer Science Education, Labor Force Development
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Johnson, Amy L.; Gleit, Rebecca D. – Teaching Sociology, 2022
Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare…
Descriptors: College Students, Sociology, Social Science Research, Computer Science Education
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López-Quiñones, Alyssa; Martinez-Lopez, Marlen; Moreno Sandoval, Cueponcaxochitl D.; Carroll-Miranda, Joseph; Lindala, April E.; Chatman, Michelle C.; Fleming, Jeffery; Shockley, Ebony Terrell; Cadeau, Denise; Flores-Reyes, Elizabeth – TechTrends: Linking Research and Practice to Improve Learning, 2023
This article offers Ancestral Computing for Sustainability (ACS) to dismantle the logics of settler colonialism that affect accessibility, identities, and epistemologies of computer science education (CSE). ACS centers Indigenous epistemologies in researching CSE across four public universities in the United States. This paper describes Ancestral…
Descriptors: Decolonization, Computer Science Education, Sustainability, Indigenous Knowledge
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Sharin Rawhiya Jacob; Mark Warschauer – CATESOL Journal, 2024
Over the last decade, there has been an explosion of national interest in computer science (CS) education. In response to this, several organizations and initiatives have emerged in recent years to expand the CS pipeline. However, within these broad and laudable efforts, one important area has been largely overlooked--the instruction of CS to…
Descriptors: Elementary School Students, Artificial Intelligence, Computer Science Education, Technology Uses in Education
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Dorodchi, Mohsen; Dehbozorgi, Nasrin; Fallahian, Mohammadali; Pouriyeh, Seyedamin – Informatics in Education, 2021
Teaching software engineering (SWE) as a core computer science course (ACM, 2013) is a challenging task. The challenge lies in the emphasis on what a large-scale software means, implementing teamwork, and teaching abstraction in software design while simultaneously engaging students into reasonable coding tasks. The abstraction of the system…
Descriptors: Computer Science Education, Computer Software, Teaching Methods, Undergraduate Students
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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Jenkins, Brian C. – Journal of Economic Education, 2022
The author of this article describes a new undergraduate course where students use Python programming for macroeconomic data analysis and modeling. Students develop basic familiarity with dynamic optimization and simulating linear dynamic models, basic stochastic processes, real business cycle models, and New Keynesian business cycle models.…
Descriptors: Undergraduate Students, Programming Languages, Macroeconomics, Familiarity
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Kao, Yvonne; Matlen, Bryan; Weintrop, David – ACM Transactions on Computing Education, 2022
The 1980s and 1990s saw a robust connection between computer science education and cognitive psychology as researchers worked to understand how students learn to program. More recently, academic disciplines such as science and engineering have begun drawing on cognitive psychology research and theories of learning to create instructional materials…
Descriptors: Computer Science Education, Cognitive Psychology, Transfer of Training, Programming
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