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Christina Glasauer; Martin K. Yeh; Lois Anne DeLong; Yu Yan; Yanyan Zhuang – Computer Science Education, 2025
Background and Context: Feedback on one's progress is essential to new programming language learners, particularly in out-of-classroom settings. Though many study materials offer assessment mechanisms, most do not examine the accuracy of the feedback they deliver, nor give evidence on its validity. Objective: We investigate the potential use of a…
Descriptors: Novices, Computer Science Education, Programming, Accuracy
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Jeff Strain; Jim Marquardson; David Lee Gomillion – Information Systems Education Journal, 2025
Information systems students yearn for hands-on, active learning experiences that teach relevant skills. Delivering these experiences requires repeatable, secure, and scalable computing infrastructure. Unfortunately, many institutions struggle with the capital and operational costs of hosting in-house computing environments. Some educational…
Descriptors: Information Systems, Computer Science Education, Best Practices, Computer Uses in Education
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Anh Duong; Maria Valero; John Oakley; Miloslava Plachkinova – Journal of Information Systems Education, 2025
This teaching tip offers valuable insights into establishing a GenCyber student camp in underserved communities. It provides teaching tips and best practices for designing a curriculum tailored to high school students. The study highlights effective strategies for recruiting a diverse group of participants, addressing the global shortage in the…
Descriptors: Camps, Disadvantaged Youth, High School Students, Program Development
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Smitha S. Kumar; Michael A. Lones; Manuel Maarek; Hind Zantout – ACM Transactions on Computing Education, 2025
Programming demands a variety of cognitive skills, and mastering these competencies is essential for success in computer science education. The importance of formative feedback is well acknowledged in programming education, and thus, a diverse range of techniques has been proposed to generate and enhance formative feedback for programming…
Descriptors: Automation, Computer Science Education, Programming, Feedback (Response)
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Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck – ACM Transactions on Computing Education, 2025
The current insertion of Machine Learning (ML) in our everyday life demonstrates the importance of introducing the teaching of a basic understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning of ML, yet so far only a few assessment models have been proposed, most of them rather simple, based…
Descriptors: Artificial Intelligence, Middle School Students, High School Students, Computer Science Education
Lynch, Tom Liam; Ardito, Gerald; Amendola, Pam – Eye on Education, 2020
"Integrating Computer Science Across the Core" is a guide to systematizing computer science and computational thinking practices in your school. While most books explain how to teach computer science as a stand-alone discipline, this innovative approach will help you leverage your existing curriculum to deepen and expand students'…
Descriptors: Elementary Secondary Education, Computer Science, Computer Science Education, Thinking Skills
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Prateek Shekhar; Heydi Dominguez; Pramod Abichandani; Craig Iaboni – IEEE Transactions on Education, 2024
Purpose: The presented study was conducted to unpack high school students' motivational influences in engineering/computer science project-based learning (PjBL), using the attention, relevance, confidence, and satisfaction (ARCS) model of motivation as a conceptual framework. Methods: A qualitative research approach was used with student focus…
Descriptors: High School Students, Student Projects, Student Motivation, Learning Motivation
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Bayan Masarwa; Hagit Hel-Or; Sharona T. Levy – Journal of Research in Childhood Education, 2024
Computational thinking (CT) activities are increasingly being integrated into early childhood schools. We focus on studying children's learning using an "unplugged" (non-computational) learning unit that considers a teacher's knowledge and classroom space and affords seamless adaptation into the classroom given the objects used in the…
Descriptors: Kindergarten, Computation, Thinking Skills, Educational Games
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Di Sun; Gang Cheng; Heng Luo – Interactive Learning Environments, 2024
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science, MOOCs
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Davis Krumins; Sandra Schumann; Veiko Vunder; Rauno Põlluäär; Kristjan Laht; Renno Raudmäe; Alvo Aabloo; Karl Kruusamäe – IEEE Transactions on Learning Technologies, 2024
Teaching robotics with the robot operating system (ROS) is valuable for instating good programming practices but requires significant setup steps from the learner. Providing a ready-made ROS learning environment over the web can make robotics more accessible; however, most of the previous remote labs have abstracted the authentic ROS developer…
Descriptors: Teaching Methods, Robotics, Programming, Computer Science Education
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Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
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Matthew Bahnson; Monique Ross; Catherine G. P. Berdanier – Journal of Engineering Education, 2024
Background: Postdoctoral training holds an increasingly important place in preparation for leading academic and research positions. While little empirical research has described postdoctoral training beyond the sciences, across all fields, "misaligned expectations" are often touted as a key source of postdoctoral strife.…
Descriptors: Postdoctoral Education, Engineering Education, Computer Science Education, Mentors
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José Miguel Blanco; César Domínguez; Arturo Jaime; Imanol Usandizaga – Educational Technology Research and Development, 2024
Teaching and learning methods that are related to student-generated content (SGC) seem a promising strategy for including sustainable development goals (SDGs) in education (established as a fundamental cornerstone in the achievement of these goals by the United Nations). This paper describes the inclusion of SDGs through the implementation of…
Descriptors: Sustainability, Computer Science Education, Student Developed Materials, Web Sites
Adrian Salguero – ProQuest LLC, 2024
Introductory computer programming (i.e. CS1) is the entry point into the computer science major at higher education institutions worldwide. It introduces foundational concepts to students that are then built upon in future courses. Computer science as a whole has struggled to attract and retain students in the major, particularly women and…
Descriptors: Computer Science, Programming, Introductory Courses, Disproportionate Representation
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Mehrdad Maghsoudi – Education and Information Technologies, 2024
The rapid growth of technology and computer science, which has led to a surge in demand for skilled professionals in this field. The skill set required for computer science jobs has evolved rapidly, creating challenges for those already in the workforce who need to adapt their skills quickly to meet industry demands. To stay ahead of the curve, it…
Descriptors: Computer Science, Job Skills, Information Technology, Social Networks
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