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Brayan Díaz; Collin Lynch; Cesar Delgado; Kevin Han – International Journal of STEM Education, 2025
Background: This paper describes research into two pedagogical approaches to foster transdisciplinarity in a graduate engineering course that involves education and computer science. Leveraging the Communities of Practice framework, we examine how students majoring in computer science can integrate new knowledge from education and computer science…
Descriptors: Graduate Study, Engineering Education, Computer Science, Interdisciplinary Approach
Ana E. Redstone; Tian Luo – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article focuses on the practical implementation of Universal Design for Learning (UDL) in an online computer science course, articulating the collaborative efforts between the instructional designer (the first author) and the faculty member to redesign the course using UDL principles. Specific instances of redesigned learning modules and…
Descriptors: Electronic Learning, Computer Science, Student Empowerment, Higher Education
Hawlitschek, Anja; Berndt, Sarah; Schulz, Sandra – Computer Science Education, 2023
Background and Context: Pair programming is an important approach to fostering students' programming and collaborative learning skills. However, the empirical findings on pair programming are mixed, especially concerning effective instructional design. Objective: The objective of this literature review is to provide lecturers with systematic…
Descriptors: Cooperative Learning, Programming, Computer Science Education, College Students
Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
Schulz, Sandra; Berndt, Sarah; Hawlitschek, Anja – Computer Science Education, 2023
Background and Context: Collaborative and cooperative learning is important to prepare students for their future work and to increase their learning performance in university courses. Several studies have shown promising results regarding team activities, such as pair programming. However, there is little information on how teamwork is currently…
Descriptors: Cooperative Learning, Computer Science Education, Higher Education, Foreign Countries
Xiaojun Luo; Ismail Adelopo – Journal of International Education in Business, 2025
Purpose: This study aims to develops an interdisciplinary business and computer science pedagogy for teaching and learning computer programming in business schools at higher education institutions and explores its associated benefits, challenges and improvement. Design/methodology/approach: Based on a body of theories, an interdisciplinary…
Descriptors: Teaching Methods, Educational Opportunities, Difficulty Level, Business Administration Education
Kofi Ayebi-Arthur; Kwaku Anhwere Barfi; Valentina Arkorful; Theophilus Ocran; Nyinaku Odoi Baffour – Education and Information Technologies, 2024
Higher institutions are increasingly embracing the use of computer technologies in advancing education. Despite evidence pointing to the positive impact of computer technologies on teaching and learning, systematic research study on the role of teachers' competencies in computer technologies integration is still not saturated in literature.…
Descriptors: Computer Uses in Education, Computer Science Education, Teaching Methods, Higher Education
Lorås, Madeleine; Sindre, Guttorm; Trætteberg, Hallvard; Aalberg, Trond – ACM Transactions on Computing Education, 2022
As the field of computing education grows and matures, it has become essential to unite computing education and higher education research. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This article…
Descriptors: Study Habits, Computer Science Education, Higher Education, College Students
Sharon Gumina; Karen Patten; John Gerdes – Education and Information Technologies, 2024
This paper is an experiential report describing the faculty and student experiences and knowledge gained from developing an Internet of Things (IoT) course within an Information Technology (IT) Department at a large southeastern United States public university. The paper contributes insights gained developing the introductory IoT course, and it…
Descriptors: Internet, Information Technology, Computer Science Education, Public Colleges
Chen, Huan; Wang, Ye; Li, You; Lee, Yugyung; Petri, Alexis; Cha, Teryn – Education and Information Technologies, 2023
Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited lacking both breadth and depth. The present study fills the research gap by exploring faculty members' perception on teaching AI and data science related courses facilitated by an open experiential AI…
Descriptors: College Faculty, Computer Science Education, Control Groups, Data Science
Claudio Alvarez; Maira Marques Samary; Alyssa Friend Wise – Journal of Computing in Higher Education, 2024
Computer programming is a skill of increasing importance in scientific and technological fields. However, in introductory computer science (CS1) courses in higher education, approximately one in every three students fails. A common reason is that students are overwhelmed by an accelerated and inflexible pace of learning that jeopardizes success.…
Descriptors: Mastery Learning, Computer Science Education, Programming, Action Research
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
Dogan, Dilek; Tüzün, Hakan – Education and Information Technologies, 2022
In this study, the instructional design process in three-dimensional multi-user virtual environments (3D MUVEs) based on a problem-based learning approach was examined and authentic design experiences were shared. Besides, a design model was proposed to guide people who want to design these 3D MUVEs and to use these environments for educational…
Descriptors: Models, Instructional Design, Computer Simulation, Problem Based Learning
Akkaya, Ali; Akpinar, Yavuz – Computer Science Education, 2022
Background and Context: Though still a nascent area of research, serious games have been presented as means of engaging students in computer programming and computational thinking due to their immersive and interactive nature. Existing research is limited in its ability to provide systems based on sound instructional design models, and only a few…
Descriptors: Experiential Learning, Educational Games, Instructional Design, Programming
Vasconcelos, Lucas; Kim, ChanMin – Educational Technology Research and Development, 2022
National and state science learning standards urge K-12 educators to offer authentic Science, Technology, Engineering, and Mathematics learning experiences. One way to fulfill this goal is to prepare preservice science teachers to integrate computer science skills, such as coding, into science education learning contexts that can benefit from it.…
Descriptors: Preservice Teachers, Science Teachers, Coding, Simulation