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Shah, Niral; Yadav, Aman – TechTrends: Linking Research and Practice to Improve Learning, 2023
The push for computing education in P-12 schools, which parallels the ongoing proliferation of computing in society, has accelerated in recent years. With respect to racially minoritized groups, this dynamic of computing creep has manifested in calls to "broaden participation," typically with the promise of access to economic…
Descriptors: Computer Science Education, Access to Education, Inclusion, Minority Group Students
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Chung, Cheng-Yu; Hsiao, I-Han; Lin, Yi-Ling – Journal of Research on Technology in Education, 2023
Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources. Although educational technologies have been adopted across levels of programming learning, programming question generation (PQG) is still predominantly performed by instructors without…
Descriptors: Artificial Intelligence, Programming, Questioning Techniques, Heterogeneous Grouping
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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
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Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
Alannah Oleson – ProQuest LLC, 2023
To realize more equitable technology futures, it is not enough to simply adapt technology to be more inclusive "after" it is created. We will also need to equip technology creators with the skills they need to critically reflect upon bias and exclusion "during" the technology design process. The question of how to best to…
Descriptors: Computation, Computer Science Education, Inclusion, Decision Making
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Cheryl Beauchamp; Holly M. Matusovich – Journal of Cybersecurity Education, Research and Practice, 2023
A growing number of academic institutions have invested resources to integrate cyber ranges for applying and developing cybersecurity-related knowledge and skills. Cyber range developers and administrators provided much of what is known about cyber range resources and possible educational applications; however, the educator provides valuable…
Descriptors: Information Technology, Computer Security, Information Security, Drills (Practice)
de Vera, Shaun P. – ProQuest LLC, 2023
Contributing to a growing body of research on broadening participation in computing for historically underrepresented racial communities (e.g., Black and Latinx), this qualitative study describes the knowledge (content and sources) six antiracist Computer Science (CS) teachers have about examples (and counterexamples) of modern techno-racism, a…
Descriptors: Racism, Computer Science Education, Middle School Teachers, High School Teachers
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Vandenberg, Jessica; Lynch, Collin; Boyer, Kristy Elizabeth; Wiebe, Eric – Computer Science Education, 2023
Background and Context: Students' self-efficacy toward computing affect their participation in related tasks and courses. Self-efficacy is likely influenced by students' initial experiences and exposure to computer science (CS) activities. Moreover, student interest in a subject likely informs their ability to effectively regulate their learning…
Descriptors: Elementary School Students, Cooperative Learning, Programming, Network Analysis
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Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2023
This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…
Descriptors: Computational Linguistics, Programming, Computer Science Education, Programming Languages
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Joseph Osunde; Liz Bacon; Lachlan Mackinnon – Electronic Journal of e-Learning, 2023
Research has shown that e-learning games do not have the same level of appeal to girls, as they do to boys; particularly in the crucial 11-14 age group. In the United Kingdom, this is typically when they start to make subject choices that impact their future studies and careers. Given the shortage of females who choose computer science as a…
Descriptors: Educational Games, Electronic Learning, Gender Differences, Females
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Panagiotis Apostolellis; Jessica Taggart; R. X. Schwartz – European Journal of Engineering Education, 2023
Group projects are expected in contemporary engineering curricula, and yet they often pose a challenge to students and instructors alike. Could making projects personally relevant help? The present study created and tested a conceptual framework regarding the impact of personal relevance on groupwork in a project-based learning (PBL) course. We…
Descriptors: Instructional Effectiveness, Student Projects, Active Learning, Relevance (Education)
Méndez Irizarry, Alejandra S. – ProQuest LLC, 2023
This doctoral dissertation documents the experiences of women (student and faculty) in computer science programs. The research emerges from the literature on the gender gap in computing and video gaming. Thus, the author seeks to find the meaning that participants have granted to their experiences as undergraduate students and faculty, in a…
Descriptors: Females, Computer Science Education, Video Games, Gender Differences
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Furkan Yucel; Hasret Sultan Unal; Elif Surer; Nejan Huvaj – IEEE Transactions on Learning Technologies, 2024
Laboratory experience is an integral part of the undergraduate curriculum in most engineering courses. When physical learning is not feasible, and when the demand cannot be met through actual hands-on laboratory sessions, as has been during the COVID-19 pandemic, virtual laboratory courses can be considered as an alternative education medium. This…
Descriptors: Electronic Learning, Engineering Education, COVID-19, Pandemics
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Jim Marquardson – Information Systems Education Journal, 2024
Generative artificial intelligence (AI) tools were met with a mix of enthusiasm, skepticism, and fear. AI adoption soared as people discovered compelling use cases--developers wrote code, realtors generated narratives for their websites, students wrote essays, and much more. Calls for caution attempted to temper AI enthusiasm. Experts highlighted…
Descriptors: Artificial Intelligence, Capstone Experiences, Computer Security, Information Security
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Shonn Cheng; Hsuan-Pu Chang; Sheng-Shiang Tseng – European Journal of Psychology of Education, 2024
The goal of the present study was to explore the relations among perceived psychosocial learning environments, instructional modality, motivation, self-regulated learning, and academic achievement in blended computer science education. The participants were 207 undergraduate students enrolled in a blended online and face-to-face design course. We…
Descriptors: Undergraduate Students, Computer Science Education, Blended Learning, Student Motivation
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