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Kenyada McLeod; Pradnya Patet; Crystal Miller; Steve Carlisle; LaToya Reynolds; Shauna Mayo – Inquiry: The Journal of the Virginia Community Colleges, 2024
Brightpoint's HyFlex Pilot Program was a year-long project funded by the Online Virginia Network (OVN) to support faculty in the design and delivery of an actual HyFlex course. The cohort consisted of faculty who teach in the biology, architecture, early childhood, and web design disciplines. Participants worked in collaboration with one another…
Descriptors: Community Colleges, Blended Learning, Curriculum Design, Curriculum Implementation
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Geoff D. Zylstra; Jill Belli; Candido Cabo; Sean P. MacDonald; Robin Michals; Anne Marie Sowder; Christopher Swift – Journal of Interdisciplinary Studies in Education, 2024
The humanities have the potential to enhance STEM curriculum in career-oriented professional degree programs. As part of a larger college-wide initiative to develop interdisciplinary curricula, the National Endowment for the Humanities (NEH) awarded a grant to New York City College of Technology to explore the relationship between the humanities…
Descriptors: Humanities, Educational Environment, STEM Education, Curriculum
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Mecca, Giansalvatore; Santoro, Donatello; Sileno, Nazzareno; Veltri, Enzo – International Journal of Educational Technology in Higher Education, 2021
Computational thinking is the capacity of undertaking a problem-solving process in various disciplines (including STEM, i.e. science, technology, engineering and mathematics) using distinctive techniques that are typical of computer science. It is nowadays considered a fundamental skill for students and citizens, that has the potential to affect…
Descriptors: Mental Computation, Thinking Skills, Coding, Programming
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Garcia-Carballeira, Felix; Calderon-Mateos, Alejandro; Alonso-Monsalve, Saul; Prieto-Cepeda, Javier – IEEE Transactions on Learning Technologies, 2020
Our educational project has three primary goals. First, we want to provide a robust vision of how hardware and software interplay, by integrating the design of an instruction set (through microprogramming) and using that instruction set for assembly programming. Second, we wish to offer a versatile and interactive tool where the previous…
Descriptors: Instructional Design, Computer Simulation, Technology Integration, Programming
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Pontes, Thiago Bessa; Miranda, Guilhermina Lobato; Celani, Gabriela Caffarena – Education Sciences, 2018
Difficulties in learning computer programming for novices is a subject of abundant scientific literature. These difficulties seem to be accentuated in students whose academic choice is not computation, like architecture students. However, they need to study programming, since it is part of the new academic curricula. The results presented here are…
Descriptors: Programming, Computer Science Education, Teaching Methods, Student Motivation
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Clark, Jill; Laing, Karen; Leat, David; Lofthouse, Rachel; Thomas, Ulrike; Tiplady, Lucy; Woolner, Pamela – International Journal of Research & Method in Education, 2017
Current debates around the concept of boundary crossing stress the importance of boundary objects in bringing people together to share understandings. We argue that the boundary object is of secondary importance, and that what is important for the transformational potential of interdisciplinary understanding is opportunities for "boundary…
Descriptors: Interdisciplinary Approach, Research Methodology, Experience, Cooperation
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Hazzan, Orit; Karni, Eyal – International Journal of Technology and Design Education, 2006
This article focuses on the similarities and differences in the academic education of software engineers and architects. The rationale for this work stems from our observation, each from the perspective of her or his own discipline, that these two professional design and development processes share some similarities. A pilot study was performed,…
Descriptors: Architecture, Academic Education, Computer Software, Data Analysis
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Martinez, Michael E.; Bennett, Randy Elliot – Applied Measurement in Education, 1992
New developments in the use of automatically scorable constructed response item types for large-scale assessment are reviewed for five domains: (1) mathematical reasoning; (2) algebra problem solving; (3) computer science; (4) architecture; and (5) natural language. Ways in which these technologies are likely to shape testing are considered. (SLD)
Descriptors: Algebra, Architecture, Automation, Computer Science