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Pakiso J. Khomokhoana; Rouxan C. Fouché; Tlholohelo S. Nkalai – Discover Education, 2025
Unified Modelling Language (UML) class diagrams are standard tools in software engineering education, typically analysed for syntactical correctness rather than their communicative dimensions. This study applies semiotic theory to investigate how first-year Bachelor of Computer Information Systems students engage with UML class diagrams as…
Descriptors: Semiotics, Programming Languages, Computer Software, Information Systems
Billy Wong; Jessica M. M. Hamer; Meggie Copsey-Blake; Peter E. J. Kemp – Educational Review, 2025
Popular discourses of computing and computer science can often frame the sector and the people within it as highly intelligent yet socially challenged, contributing to stereotypes that can potentially exclude those perceived to lack these skills or characteristics. For young people, such stereotypes can influence their educational and career…
Descriptors: Foreign Countries, Computer Science Education, Adolescents, Early Adolescents
Dailin Zheng; Yu Chen; Leslie J. Albert – Journal of Information Systems Education, 2025
Employers increasingly prioritize candidates who can solve real-world Structured Query Language (SQL) problems, particularly during technical interviews. However, many undergraduate students feel underprepared for these interviews because they have not engaged in the deep learning needed to apply SQL concepts confidently. Additionally, students…
Descriptors: Undergraduate Students, Simulation, Employment Interviews, Computer Literacy
Marcus Messer; Neil C. C. Brown; Michael Kölling; Miaojing Shi – ACM Transactions on Computing Education, 2025
Providing consistent summative assessment to students is important, as the grades they are awarded affect their progression through university and future career prospects. While small cohorts are typically assessed by a single assessor, such as the module/class leader, larger cohorts are often assessed by multiple assessors, typically teaching…
Descriptors: Foreign Countries, Grading, Interrater Reliability, Teaching Assistants
Brendan Bertone; Paul Wagner; Joshua Pauli – Journal of Cybersecurity Education, Research and Practice, 2025
The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entrylevel cybersecurity hires. This paper argues that clinic-based experiential learning offers a scalable solution to that preparation gap. A…
Descriptors: Computer Science Education, Computer Security, Experiential Learning, Conventional Instruction
Sebastian Mateos Nicolajsen; Sofie Nielsen; Louise Meier Carlsen; Claus Brabrand – Higher Education: The International Journal of Higher Education Research, 2025
Decades of technological development and innovation have led to an unprecedented digitalization of society. Graduates entering the modern workforce now need better computational competences. Higher education is thus forced to adapt and consider how to support these demands. To support educators in making decisions regarding "how" to…
Descriptors: Foreign Countries, Programming, Computer Science Education, Higher Education
Rui Wang; Haili Ling; Jie Chen; Huijuan Fu – International Journal of Distance Education Technologies, 2025
This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the…
Descriptors: Educational Improvement, Student Needs, Computer Science Education, Foreign Countries
Ailsa Zayyan Salsabila; R. Yugo Kartono Isal; Harry B. Santoso – Journal of Educators Online, 2025
This study aims to provide recommendations for interaction design to enhance students' task interpretation, as one of the crucial aspects of Self-Regulated Learning (SRL) in online learning environments. Utilizing the Engineering Design Metacognitive Questionnaire (EDMQ), open-ended questions, and in-depth interviews, this study examines the…
Descriptors: Learning Processes, Electronic Learning, College Students, Computer Science Education
Jennifer M. Blaney; David F. Feldon; Annie M. Wofford; Kaylee Litson – Research in Higher Education, 2025
Community college transfer students represent a diverse and talented group to recruit to PhD and other graduate programs. Yet, little is known about practical strategies to support community college transfer students' access to graduate training. Focusing specifically on transfer students in computer science and guided by social cognitive career…
Descriptors: College Transfer Students, Community College Students, Graduate Study, Access to Education
Megan Hopkins; Hayley Weddle – Journal of Research on Technology in Education, 2025
Computer Science affords a unique context for English Learners (who we refer to as Multilingual Learners or MLs) to engage in disciplinary practices that support computational thinking and language development. Yet MLs at the secondary level tend to be systematically excluded from CS courses. Through a collaborative research process involving…
Descriptors: Computer Science Education, Multilingualism, Secondary School Students, Educational Policy
Li Feng; Xiaoqing Shen; Zhaoyuan Xie; Xiaohui Yan – Education and Information Technologies, 2025
Gamification mechanisms have been increasingly integrated into educational environments to enhance learner's engagement and improve the effectiveness of online courses. However, the precise effects of gamification on learner's engagement, including the factors that influence this behavior, remain under-explored. This study addresses this gap by…
Descriptors: Gamification, Electronic Learning, Learner Engagement, Student Motivation
Özlem Baydas Önlü; Sevda Küçük; Canan Çolak Yakar – Asia Pacific Journal of Education, 2025
Present study investigates the motives that pre-service computer education and instructional technologies (CEIT) teachers employ while deciding on the level, type, way of engagement with and the length of YouTube videos that they watch. The investigation is based on the various demographic variables such as gender and content creation status.…
Descriptors: Computer Science Education, Preservice Teachers, Video Technology, Decision Making
W. Monty Jones; Katherine Hansen; Douglas Lusa Krug; Michael L. Schad; Nakisha Whittington; Xun Liu – Computer Science Education, 2025
Background and Context: Efforts to engage adult learners in computer science in the United States have been largely unsuccessful. While research examining the use of music for teaching computer programming with K-12 learners is emerging, little research with adult learners exists. Objective: This study evaluates the effect of computer coding…
Descriptors: Musical Composition, Computer Software, Adult Students, Student Attitudes
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
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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