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Kalelioglu, Filiz; Sentance, Sue – Education and Information Technologies, 2020
Many physical devices supporting the learning of programming and digital making are now available which have the potential to make learning fun, accessible and creative for children and young adults. The advent of this new technology necessitates research to inform pedagogical approaches that work in the classroom. We carried out a study which…
Descriptors: Teaching Methods, Programming, Teaching Experience, Cooperative Learning
Jayathirtha, Gayithri; Kafai, Yasmin B. – ACM Transactions on Computing Education, 2020
Electronic textiles, which integrate computation with fabrics through a redesigned interface of microcontrollers, sensors, and actuators, have expanded possibilities not only for engineering, fashion, and human-computer interaction but also for computer science education itself. While individual studies involving electronic textiles have shown…
Descriptors: Computer Science Education, Educational Research, Elementary Secondary Education, Textiles Instruction
Bull, Glen; Garofalo, Joe; Hguyen, N. Rich – Journal of Digital Learning in Teacher Education, 2020
An educational team founded by Seymour Papert at MIT has developed an evolving series of computing environments designed to facilitate computational thinking. Papert outlined the goal of developing educational environments to facilitate the use of computer as a computational object in a seminal publication, "Teaching Children Thinking"…
Descriptors: Thinking Skills, Computation, Computer Science Education, Programming
Berikan, Burcu; Özdemir, Selçuk – Journal of Educational Computing Research, 2020
This study aims to investigate problem-solving with dataset (PSWD) as a computational thinking learning implementation as reflected in academic publications. Specifically, the purpose is to specify the scope of PSWD, which overlaps with the data literacy, thinking with data, big data literacy, and data-based thinking concepts in the literature.…
Descriptors: Problem Solving, Data Analysis, Thinking Skills, Computation
Alluhaidan, Ala; Abu-Taieh, Evon M. – International Education Studies, 2020
Abstract The rapid growth of technology and related fields has led to creation in academia to match the expansion demand for IT professionals. One of the current majors that attract attention in industry is cybersecurity. There is a great need for individuals who are skilled in cybersecurity to protect IT infrastructure. Coaching a…
Descriptors: Outcomes of Education, Computer Security, Information Technology, Computer Science Education
Dickes, Amanda Catherine; Farris, Amy Voss; Sengupta, Pratim – Journal of Science Education and Technology, 2020
In recent years, the field of education has challenged researchers and practitioners to incorporate computing as an essential focus of K-12 STEM education. Integrating computing within K-12 STEM supports learners of all ages in codeveloping and using computational thinking in existing curricular contexts alongside practices essential for…
Descriptors: Elementary School Science, Coding, STEM Education, Computer Science Education
Palts, Tauno; Pedaste, Margus – Informatics in Education, 2020
Computer science concepts have an important part in other subjects and thinking computationally is being recognized as an important skill for everyone, which leads to the increasing interest in developing computational thinking (CT) as early as at the comprehensive school level. Therefore, research is needed to have a common understanding of CT…
Descriptors: Models, Skill Development, Computation, Thinking Skills
Alexiou, Aikaterini; Paraskeva, Fotini – International Journal of Information and Learning Technology, 2020
Purpose: Undergraduate students often find it difficult to organize their learning activities and manage their learning. Also, teachers need dynamic pedagogical frameworks and learning technologies for supporting learners to advance their academic performance. The purpose of this paper is to investigate the effect of an ePortfolio intervention on…
Descriptors: Social Media, Undergraduate Students, Learning Activities, Educational Technology
Zhao, Yijun; Lackaye, Bryan; Dy, Jennifier G.; Brodley, Carla E. – International Educational Data Mining Society, 2020
Accurately predicting which students are best suited for graduate programs is beneficial to both students and colleges. In this paper, we propose a quantitative machine learning approach to predict an applicant's potential performance in the graduate program. Our work is based on a real world dataset consisting of MS in CS [Master of Science in…
Descriptors: Artificial Intelligence, College Admission, Masters Programs, Professional Education
Colin M. Gray; Paul Parsons; Austin L. Toombs; Nancy Rasche; Mihaela Vorvoreanu – International Journal of Designs for Learning, 2020
In this design case, we describe a multi-year process during which a team of faculty designed a four-year undergraduate major in user experience (UX) design at a large research-intensive institution. We document the program- and course-level design experiences of five faculty members. This multi-year process has culminated in a dual-strand,…
Descriptors: Instructional Design, Undergraduate Study, Majors (Students), Curriculum Development
Marco Zappatore – Technology, Knowledge and Learning, 2024
This research aims to address the current gaps in computer-assisted translation (CAT) courses offered in bachelor's and master's programmes in scientific and technical translation (STT). A multi-framework course design methodology is proposed to support CAT teachers from the computer engineering field, improve student engagement, and promote…
Descriptors: Translation, Computational Linguistics, Computer Software, Language Skills
Stephanie Jill Lunn; Ellen Zerbe; Monique Ross – ACM Transactions on Computing Education, 2024
Although there is a great demand for graduates in computing fields, companies frequently struggle to find enough workers. They may also grapple with obtaining racial, ethnic, and gender diversity in representation. It has been suggested that the hiring process further contributes to these inequities. This study examined undergraduate computing…
Descriptors: Undergraduate Students, Computer Science Education, Disproportionate Representation, Employment
Matthew Frazier – ProQuest LLC, 2024
Online educational resources (e.g., curricula, tutorials, documentation, Q&A sites) increasingly serve as key sources for secondary school students learning Computer Science Principles (CSP). A big obstacle to using these resources is finding information appropriate for the learning task and learner's background. Research shows that secondary…
Descriptors: Computer Science Education, Secondary School Students, Student Characteristics, Information Literacy
Ramadan Abdunabi; Ilham Hbaci; Teddy Nyambe – Information Systems Education Journal, 2024
Programming is a major subject in various Information Systems (IS) programs, with students often finding it a challenging skill to acquire. While there is extensive literature on factors helping students learn to program, most of which focuses on non-IS students. Due to the increasing demand for professionals with programming skills, there is a…
Descriptors: Influences, Programming, Self Efficacy, Computer Science Education
Carsten Lecon – Athens Journal of Education, 2024
In this paper, we describe a teaching scenario using a virtual environment (known also in the context of the 'metaverse'). This is motivated by the challenges that arise during the pandemic. More and more teaching scenarios are transferred to online learning settings, which allow learning at any time and at any time. One of the possibilities are…
Descriptors: Electronic Learning, Virtual Classrooms, Computer Simulation, Artificial Intelligence

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