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Cheers, Hayden; Lin, Yuqing; Yan, Weigen – Informatics in Education, 2023
Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…
Descriptors: Plagiarism, Assignments, Computer Software, Computer Science Education
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Esche, Svana; Weihe, Karsten – IEEE Transactions on Education, 2023
Contribution: Most work on languages in computing education currently focuses on non-native speakers. In contrast, to the best of the authors' knowledge, this article is the first response to the call for research on terms that takes into account the terms used by novices in their language. Background: Terms are key factors in communication,…
Descriptors: Programming Languages, Computer Science Education, Misconceptions, Undergraduate Students
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Gislaine Martinez-Campa; Meredith Kier – Cultural Studies of Science Education, 2024
This study puts forth the counternarrative of the first author Gislaine, a first-generation undergraduate student, Latina, and computer science major. Gislaine participated in a research internship and STEM mentorship program led by the second author, Meredith. Through this program, Gislaine designed and taught CS lessons to predominantly…
Descriptors: STEM Education, Computer Science, Undergraduate Students, First Generation College Students
Giovanni Gonzalez Araujo – ProQuest LLC, 2024
This dissertation presents the results and outcomes of an effort to design educational tools and curriculum to improve student learning in introductory programming courses. The work was conducted at the University of California, Merced (UC Merced), situated in the Central Valley of California, and home to a diverse student population. The findings…
Descriptors: Undergraduate Study, Computer Science, Introductory Courses, Case Studies
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Yang, Fan; Akanbi, Temitope; Chong, Oscar Wong; Zhang, Jiansong; Debs, Luciana; Chen, Yunfeng; Hubbard, Bryan J. – Journal of Civil Engineering Education, 2024
Computing technology is reshaping the way in which professionals in the architecture, engineering, and construction industries conduct their business. The execution of construction tasks is changing from traditional 2D to 3D building information modeling (BIM)-based concepts. The use of BIM is expanded and enriched by the introduction of advanced…
Descriptors: Civil Engineering, Engineering Education, Programming Languages, Construction Management
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Kim, ChanMin; Dinç, Emre; Lee, Eunseo; Baabdullah, Afaf; Zhang, Anna Y.; Belland, Brian R. – Journal of Educational Computing Research, 2023
Analogical reasoning is considered to be a critical cognitive skill in programming. However, it has been rarely studied in a block-based programming context, especially involving both virtual and physical objects. In this multi-case study, we examined how novice programming learners majoring in early childhood education used analogical reasoning…
Descriptors: Robotics, Programming, Novices, Thinking Skills
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Schwieger, Dana – Information Systems Education Journal, 2023
Many small organizations sponsor events and activities that could benefit from the data management and reporting capabilities provided through a centralized database. However, many of those organizations do not have the budget to afford a commercial solution or an on-going subscription to a cloud-based solution for a small scope event with limited…
Descriptors: Databases, Computer Software, Information Systems, Volunteers
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Sand, Odd Petter; Lockwood, Elise; Caballero, Marcos D.; Mørken, Knut – Digital Experiences in Mathematics Education, 2022
We present here the lessons learned by iteratively designing a tutorial for first-year university students using computer programming to work with mathematical models. Alternating between design and implementation, we used video-taped task interviews and classroom observations to ensure that the design promoted student understanding. The final…
Descriptors: College Freshmen, Mathematical Models, Video Technology, Computer Science Education
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Amelina, Yevgeniya; Sutinen, Erkki; Helle, Seppo – Informatics in Education, 2022
User-centricity and usability are a premise of digitalization, a current trend for business model innovation based on advanced digital technologies. The article addresses a gap in the literature, in which descriptions of the cases of updating university curricula in usability are lacking. This gap also exists in the practice. The study uses the…
Descriptors: Educational Change, Usability, Information Technology, Computer Science Education
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Almuhaideb, Abdullah M.; Saeed, Saqib – Journal of Information Systems Education, 2021
ABET accreditation has become a well-known standard for academic programs not only in the U.S. but also across the globe. Instantiating the processes to systematically improve the quality of programs is a daunting task for higher education institutions. In this contribution, we provide a detailed process-based framework that can assist aspiring…
Descriptors: Engineering Education, Accreditation (Institutions), Computer Security, Crime
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Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
Kim, Ji Yeon – ProQuest LLC, 2019
With the high influx of computer science enrollment in universities in the last decade, there is increasing value and wide-reaching effects in improving pedagogy in the field. This improvement is especially useful in introductory computer science courses (CS1). Student experience in the first programming course is known to heavily influence…
Descriptors: College Students, Computer Science Education, Introductory Courses, Programming
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Chang, Hung-Fu; Shokrolah Shirazi, Mohammad – Informatics in Education, 2022
Scrum is a widely-used framework in industry, so many schools apply it to their software engineering courses, particularly capstone courses. Due to the differences between students and industrial professionals, changing Scrum is necessary to fit capstone projects. In this paper, we suggest a decision-making process to assist instructors in…
Descriptors: Computer Science Education, Capstone Experiences, Learning Experience, Task Analysis
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Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Caitlin Petro; Zelaya Al Ayeisha; Shakayla Alston; Anthony Teddy; Myat Win; Sandra Wiktor; Barry Sherman; Jeffrey Cook – School Community Journal, 2024
Students from underrepresented populations--females, working class, and youth from marginalized racial/ethnic groups--are less likely than their middle-class Asian and White male peers to study computer science (CS) in college. The dearth of CS undergraduates from these groups contributes to projected labor force shortages. Sources of the dilemma…
Descriptors: Middle School Students, Computer Science Education, Partnerships in Education, Minority Group Students
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Huo, Rongrong – European Journal of Science and Mathematics Education, 2023
In our investigation of university students' knowledge about real numbers in relation to computer algebra systems (CAS) and how it could be developed in view of their future activity as teachers, we used a computer algorithm as a case to explore the relationship between CAS and the knowledge of real numbers as decimal representations. Our work was…
Descriptors: Numbers, Computer Science Education, Knowledge Level, Algorithms
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