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Mirolo, Claudio; Izu, Cruz; Lonati, Violetta; Scapin, Emanuele – Informatics in Education, 2021
When we "think like a computer scientist," we are able to systematically solve problems in different fields, create software applications that support various needs, and design artefacts that model complex systems. Abstraction is a soft skill embedded in all those endeavours, being a main cornerstone of computational thinking. Our…
Descriptors: Computer Science Education, Soft Skills, Thinking Skills, Abstract Reasoning
Strömbäck, Filip; Mannila, Linda; Kamkar, Mariam – Informatics in Education, 2021
Concurrency is often perceived as difficult by students. One reason for this may be due to the fact that abstractions used in concurrent programs leave more situations undefined compared to sequential programs (e.g., in what order statements are executed), which makes it harder to create a proper mental model of the execution environment. Students…
Descriptors: College Students, Programming, Programming Languages, Concept Formation
Bekasiewicz, A.; Pankiewicz, B.; Wojcikowski, M.; Klosowski, M.; Koziel, S. – IEEE Transactions on Education, 2021
Contribution: While research indicates usefulness of remote laboratories in teaching of digital hardware systems, their main application is to complement stationary classes. This work presents a low-cost, scalable architecture that supports rapid transformation of teaching to a model based solely on remote access mechanisms. Background: Adaptation…
Descriptors: COVID-19, Pandemics, Educational Change, Distance Education
Bekkering, Ernst; Ward, Ted – Information Systems Education Journal, 2021
Student attendance in class, and participation while in class, are predictors of student performance. Last year, we reported on a new measure combining class attendance and attentiveness while in class and used this participation score as a predictor of student performance on the final exam in the class. This year, we follow up by analyzing data…
Descriptors: Student Participation, Academic Achievement, Grade Prediction, Attention Control
Lodi, Michael; Martini, Simone – Science & Education, 2021
The pervasiveness of Computer Science (CS) in today's digital society and the extensive use of computational methods in other sciences call for its introduction in the school curriculum. Hence, Computer Science Education is becoming more and more relevant. In CS K-12 education, computational thinking (CT) is one of the abused buzzwords: different…
Descriptors: Computer Science Education, Elementary Secondary Education, Computation, Definitions
Géssica, Lehmkuhl; Christiane, Gresse von Wangenheim; Martins-Pacheco, Lúcia Helena; Borgatto, Adriano F.; da Cruz Alves, Nathalia – Informatics in Education, 2021
In today's society, creativity plays a key role, emphasizing the importance of its development in K-12 education. Computing education may be an alternative for students to extend their creativity by solving problems and creating computational artifacts. Yet, there is little systematic evidence available to support this claim, also due to the lack…
Descriptors: Models, Self Evaluation (Individuals), Creativity, Computer Science Education
Humpherys, Sean L.; Lazrig, Ibrahim – Information Systems Education Journal, 2021
This study proposes a time management intervention for college students that includes 1) identifying academic deliverables with due dates, 2) preplanning specific study times each week in advance, 3) and sharing the plan with the instructor. Results show a decrease in missing assignments and an increase in course grades even when controlling for…
Descriptors: Time Management, Academic Achievement, Computer Science Education, Intervention
Custer, Gordon F.; van Diepen, Linda T. A.; Seeley, Janel – Natural Sciences Education, 2021
Quantitative literacy is necessary to keep pace with the exponentially increasing magnitude of biological data and the complexity of statistical tools. However, statistical programming can cause anxiety in new learners and educators alike. In order to produce graduates that are well-prepared for quantitative research, overcoming the initial…
Descriptors: Programming Languages, Computer Science Education, Student Attitudes, Time Management
Luce, Thom – Information Systems Education Journal, 2021
This paper describes changes, precipitated by the COVID-19 pandemic, to a capstone MIS class using Microsoft ASP.NET MVC for team development with live-clients. The advent of the pandemic required that the entire development effort of the class immediately transition from a largely in-class development effort with local SQL Server and Web Server…
Descriptors: Computer Science Education, Educational Change, COVID-19, Pandemics
Li, Ken W.; Goos, Merrilyn – International Electronic Journal of Mathematics Education, 2021
This paper addresses the question of whether peer collaboration affects students' performance of regression modelling tasks, an experimental study consisting of a test was conducted in a computing laboratory. Collaborating groups of students were randomly assigned to one of three experimental conditions: pre-task discussion (i.e., group members…
Descriptors: Cooperative Learning, Academic Achievement, Computer Science Education, Regression (Statistics)
Cossa, José; Barker, Lecia – Journal of Interdisciplinary Studies in Education, 2021
This study investigates the motivation of African American master's degree students in computing to pursue a PhD in Computing. Specifically, we sought to understand the motivation of those students attending Historically Black Colleges and Universities (HBCUs) in the United States. Our framework was founded on the premise that an adequate…
Descriptors: Student Motivation, Computer Science Education, African American Students, Black Colleges
Obeidat, Raghad; Alzoubi, Hussein – International Journal of Information and Communication Technology Education, 2021
Curricula in computer engineering, computer science, and other related fields include several courses about hardware design. Examples of these courses are digital logic design, computer architecture, microprocessors, computer interfacing, hardware design, embedded systems, switching theorem, and others. In order for the students to realize the…
Descriptors: Programming Languages, Computer Science Education, Concept Formation, Engineering Education
Kim, Brian; Henke, Graham – Journal of Statistics and Data Science Education, 2021
One of the biggest hurdles of teaching data science and programming techniques to beginners is simply getting started with the technology. With multiple versions of the same coding language available (e.g., Python 2 and Python 3), various additional libraries and packages to install, as well as integrated development environments to navigate, the…
Descriptors: Computer Software, Data Analysis, Programming Languages, Computer Science Education
Gaweda, Adam M.; Lynch, Collin F. – International Educational Data Mining Society, 2021
There are a number of novel exercise types that students can utilize while learning Computer Science, each with its own level of complexity and interaction as outlined by the ICAP Framework [10]. Some are "Interactive," like solving coding problems; "Constructive," like explaining code; "Active," like retyping source…
Descriptors: Computer Science Education, Learning Activities, Student Behavior, Study Habits
McCauley, Krystin – ProQuest LLC, 2021
The purpose of this action research was to explore the information and communication technology (ICT) literacy skills of first-year minority students at Saint Augustine's University in order to develop a plan for an ICT professional development program. ICT skills are essential in our rapidly-changing and technology-driven society. While there is…
Descriptors: Information Technology, Computer Literacy, College Freshmen, Minority Group Students