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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
Pantic, Katarina; Clarke-Midura, Jody – Computer Science Education, 2023
Background and Context: Despite over 30 years of research on broadening participation, women are still underrepresented in Computer Science (CS) education. While enrolment in CS majors has increased, women earn only 18% of the CS baccalaureate degrees in the US. Objective: Most research focuses on why women leave CS. This study explores factors…
Descriptors: Computer Science Education, Majors (Students), Females, Womens Education
Uluyol, Çelebi; Orak, Esma; Gökçearslan, Sahin; Ramazanoglu, Mehmet – Participatory Educational Research, 2023
This study is designed to reveal the research trends of graduate theses published in the field of computer programming in K-12 between 2018 and 2022. Document analysis was used for data collection in this study. The data was divided into 9 categories, and the results demonstrated that the scholars in the Departments of Computer Educational and…
Descriptors: Computer Science Education, Programming, Kindergarten, Elementary Secondary Education
Schwerter, Jakob; Ilg, Lena – European Journal of Higher Education, 2023
Many women do not work in science, technology, engineering, and mathematics (STEM) occupations even though they have degrees in these subjects. To shed light on this problem, we use information from the German Graduate Panel and show a significant gender gap among STEM graduates working in degree-related occupations after graduation. Therefore, we…
Descriptors: Gender Differences, Labor Market, STEM Education, College Graduates
El-Hamamsy, Laila; Bruno, Barbara; Audrin, Catherine; Chevalier, Morgane; Avry, Sunny; Zufferey, Jessica Dehler; Mondada, Francesco – International Journal of STEM Education, 2023
Background: Early exposure to Computer Science (CS) and Computational Thinking (CT) for all is critical to broaden participation and promote equity in the field. But how does the introduction of CS and CT into primary school curricula impact learning, perception, and gaps between groups of students? Methodology: We investigate a CS-curricular…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
Savonen, Candace; Wright, Carrie; Hoffman, Ava M.; Muschelli, John; Cox, Katherine; Tan, Frederick J.; Leek, Jeffrey T. – Journal of Statistics and Data Science Education, 2023
Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time…
Descriptors: Open Source Technology, Multiple Choice Tests, Summative Evaluation, Formative Evaluation
Salvador, Rodrigo; Barros, Murillo Vetroni; Barreto, Bernardo; Pontes, Joseane; Yoshino, Rui Tadashi; Piekarski, Cassiano Moro; de Francisco, Antonio Carlos – Industry and Higher Education, 2023
This article aims to identify the challenges and opportunities in cross-program problem-based learning (PBL) in higher education, based on an Industry 4.0 case with undergraduate and graduate students studying for engineering degrees. The method for this research comprised a cross-program course structured to bring together undergraduate and…
Descriptors: Barriers, Industry, Educational Opportunities, Graduate Students
Robin Jocius; Jennifer Albert; Deepti Joshi; Melanie Blanton; Ian O'Byrne – Journal of Technology and Teacher Education, 2023
There is growing attention to the potential for developing professional learning experiences for content area teachers to infuse computational thinking (CT), which refers to the set of problem-solving practices related to the computer science discipline, into their classrooms. Although research has begun to document professional learning models…
Descriptors: Decision Making, Teaching Experience, Research Projects, Teacher Researchers
Chala Mosisa Hunduma; Yilfashewa Seyoum – Online Submission, 2023
The study aimed to investigate students' perceptions of undergraduate programs in relation to exit examinations, employing a mixed research design. A total of 145 students participated in the study. Deans, Department Heads, and College Quality Assurance Coordinators were selected based on availability and purposive sampling methods. The study…
Descriptors: Undergraduate Students, Student Attitudes, Exit Examinations, Deans
Susan B. Wainscott; Mohamed B. Trabia; David E. James – Advances in Engineering Education, 2023
How can we engage new engineering and computer science graduate students in meaningful conversations about research and publication ethics without establishing a common understanding of the issues and expectations? Most universities offer extensive responsible conduct of research (RCR) training programs, which are usually a semester-long. Absent a…
Descriptors: Ethics, Engineering Education, Computer Science Education, Graduate Students
Waguespack, Leslie J. – Information Systems Education Journal, 2016
Design as an academic endeavor has a rich history in the visual and performing arts as well as the "construction" arts: architectural, industrial, graphic, interior, fashion, and landscape design. Design in the natural and commercial sciences is largely peripheral. Although not ignored, design in the sciences predominates as a dialect of…
Descriptors: Information Systems, Design, Curriculum Design, Computer Science
Jimenez, Fernando; Paoletti, Alessia; Sanchez, Gracia; Sciavicco, Guido – IEEE Transactions on Learning Technologies, 2019
In the European academic systems, the public funding to single universities depends on many factors, which are periodically evaluated. One of such factors is the rate of success, that is, the rate of students that do complete their course of study. At many levels, therefore, there is an increasing interest in being able to predict the risk that a…
Descriptors: Prediction, Risk, Dropouts, College Students
Du, Jie; Wimmer, Hayden – Information Systems Education Journal, 2019
Computer programmers in the U.S. labor force are facing a shortage. Focusing on recruiting females has the potential to address this shortage. Computing is a male dominated field which provides an opportunity to recruit the other 50% of the population, females, to fill the open positions. This work studies gender differences in computer…
Descriptors: Programming, Females, Gender Differences, Disproportionate Representation
Knight, Victoria F.; Wright, John; Wilson, Kalli; Hooper, Ashton – Journal of Autism and Developmental Disorders, 2019
The use of robots to teach students with autism spectrum disorder communication skills has basis in the literature; however, research investigating the effects of teaching coding or programming of robotics to promote learning in STEM to this population has not yet been conducted. The purpose of the current study was to evaluate the effects of…
Descriptors: High School Students, Autism, Pervasive Developmental Disorders, Behavior Problems
Acharya, Sushil; Manohar, Priyadarshan A.; Wu, Peter Y. – Information Systems Education Journal, 2019
Software Verification and Validation (SV&V) is proven to be an effective approach to ensure software quality. Yet it is not commonly deployed in industry practices. We started a project intent on building a sustainable community skilled in SV&V. The fundamental objective is the transformation of undergraduate education in software…
Descriptors: Computer Science Education, Computer Software, Undergraduate Study, School Business Relationship