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Showing 1 to 15 of 280 results Save | Export
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Yonggang Wei; Lu Wang; Yi Tang; Junyue Su; Yaxian Lei; Wanran Peng – Journal of Computer Assisted Learning, 2024
Background: The pedagogy of computational thinking has gained extensive traction across numerous nations globally, with a particular emphasis on nurturing computational thinking in the formative years of early childhood. Nevertheless, the efficacy of diverse instructional approaches in the domain of programming education, with regards to fostering…
Descriptors: Programming, Computation, Thinking Skills, Young Children
Lorien W. Cafarella – ProQuest LLC, 2023
Many middle school students come to Computer Science (CS) classes without any previous CS instruction or any Computational Thinking (CT) skills that are needed to be successful. To overcome this, many curriculums and programming environments have been used to engage students and to instill a love of CS. Which curriculum should be used to develop…
Descriptors: Middle School Students, Computer Science, Computer Science Education, Program Effectiveness
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Shana V. White; Sonia Koshy; Allison Scott – Journal of Research on Technology in Education, 2025
To address racial and gender inequality in K-12 computer science (CS) education, there needs to be a multi-pronged approach. In addition to curricula that are culturally responsive and sustaining inclusive, K-12 CS teachers need to be equipped to implement the curriculum, pedagogy, and instruction to mitigate the racial and gender gaps in…
Descriptors: Computer Science Education, Culturally Relevant Education, Elementary Secondary Education, Faculty Development
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Shi, Yang; Mao, Ye; Barnes, Tiffany; Chi, Min; Price, Thomas W. – International Educational Data Mining Society, 2021
Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for "large-scale" code classification. It is not clear, however, whether they can be effectively used for bug…
Descriptors: Artificial Intelligence, Program Effectiveness, Coding, Computer Science Education
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Kurtoglu Erden, Meltem; Seferoglu, Süleyman Sadi – Turkish Online Journal of Educational Technology - TOJET, 2023
The purpose of the current study was to evaluate the undergraduate program of the Computer Education and Instructional Technology (CEIT) Department. CEIT department is an undergraduate program that trains information technology teachers. The study group of the study, which was designed according to the descriptive research model, was consisted of…
Descriptors: Foreign Countries, Undergraduate Study, Computer Science Education, Information Technology
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Daniel L. Hoffman; Peter Leong; Rochelle Pi'ilani Hussey Ka'aloa; Seungoh Paek – Educational Media International, 2024
The Advancing Culturally-Relevant Computing Project is a collaboration between researchers and practitioners in Hawai'i focused on preparing elementary teachers to meaningfully incorporate culturally relevant Computer Science (CS) into their classrooms. This paper introduces a hybrid instructional design framework designed to facilitate the…
Descriptors: Culturally Relevant Education, Computer Science Education, Learning Modules, Program Effectiveness
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Lauren Weisberg; Joanne Barrett; Maya Israel; Don Miller – Computer Science Education, 2025
Background and Context: Although computing is a highly sought-after skill set in our modern economy, certain individuals are under represented in computer science (CS) courses and careers. The integration of visual and performing arts in K-12 CS education has been gaining "STEAM" as a viable strategy for making computing more inclusive.…
Descriptors: STEM Education, Art Education, Elementary Secondary Education, Computer Science Education
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Alajlan, Hayat A. – Technology, Knowledge and Learning, 2023
The purpose of this quasi-experimental design study was to investigate and compare flipped learning (FL) and traditional learning (TL), and how FL impacts on student performance, participation and perceptions in higher education in Saudi Arabia. FL as an instructional approach has received much attention as a way to center learning on students in…
Descriptors: Flipped Classroom, Conventional Instruction, College Students, Computer Science Education
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Roland Kiraly; Sandor Kiraly; Martin Palotai – Education and Information Technologies, 2024
Deep learning is a very popular topic in computer sciences courses despite the fact that it is often challenging for beginners to take their first step due to the complexity of understanding and applying Artificial Neural Networks (ANN). Thus, the need to both understand and use neural networks is appearing at an ever-increasing rate across all…
Descriptors: Artificial Intelligence, Computer Science Education, Problem Solving, College Faculty
Jadwiga A. Carlson – ProQuest LLC, 2023
Women are underrepresented in science, technology, engineering, and math (STEM) in higher education institutions and the technology field and vulnerable to attrition. The reviewed literature suggests that the impact of other factors, beyond students' academic performance, leading to well-being and success and affecting female students' retention…
Descriptors: College Students, College Graduates, Alumni, Computer Science Education
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Rafael Herrero-Álvarez; Rafael Arnay; Eduardo Segredo; Gara Miranda; Coromoto Leon – IEEE Transactions on Learning Technologies, 2025
RoblockLLy is an educational robotics simulator designed for primary and secondary school students, whose goal is to increase their interest in science, technology, engineering, and mathematics. In the particular case of computer science, it allows developing computational thinking skills. It has been designed with ease of use in mind. This free…
Descriptors: Secondary School Students, STEM Education, Computer Science Education, Robotics
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Tracy Ediger; Olga Glebova; Michael Waterson; Matthew Nusnbaum – Journal of College Science Teaching, 2024
During the COVID-19 pandemic, it was suddenly necessary to shift college courses online. Many instructors without experience teaching online were faced with decisions about how to structure their courses and support students during the pandemic. In the three introductory STEM courses described in this article, instructors chose to include online…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
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Ni, Lijun; Bausch, Gillian; Benjamin, Rebecca – Computer Science Education, 2023
Background & Context: Many efforts have been dedicated to building computer science (CS) teacher capacity through offering professional development (PD) programs. Previous reviews indicated the need to offer more continual support for teachers. Recent research has shifted its focus to scaling up PD and sustaining teaching capacity by…
Descriptors: Computer Science Education, Elementary School Teachers, Secondary School Teachers, Faculty Development
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Kiliç, Servet; Çakiroglu, Ünal – Technology, Knowledge and Learning, 2023
Since teaching robotics in schools is still new for teachers, studies on how to integrate computational thinking concepts in robotics courses are still rare. In this direction, teacher training sessions for teaching robotics should be visited. Accordingly, in this exploratory case study, a professional development program for teachers was…
Descriptors: Program Development, Program Implementation, Program Evaluation, Faculty Development
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Brown, Kevin L. – AERA Online Paper Repository, 2020
In 2013, NSF funded the Center on Innovative Research in Cyberlearning (CIRCL) to support the Cyberlearning and Future Learning Technologies (CFLT) program, the first such programmatic support center outside NSF's Directorate on Education and Human Resources (EHR). One difficulty NSF confronts when funding such centers, however, is quantifying…
Descriptors: Program Effectiveness, Sex Fairness, Grants, Computer Science Education
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