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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
Melro, Ana; Tarling, Georgie; Fujita, Taro; Kleine Staarman, Judith – Journal of Educational Computing Research, 2023
Underpinning the teaching of coding with Computational Thinking has proved relevant for diverse learners, particularly given the increasing demand in upskilling for today's labour market. While literature on computing education is vast, it remains unexplored how existing CT conceptualisations relate to the learning opportunities needed for a…
Descriptors: Coding, Computation, Thinking Skills, Learning Processes
Lai, Xiaoyan; Wong, Gary Ka-wai – British Journal of Educational Technology, 2022
Computational thinking (CT), which is a cognitive skill used to solve problems with computational solutions, has drawn increasing attention among researchers and practitioners due to the growing recognition of CT competence as a 21st century skill. Collaboration is commonly integrated into CT education to facilitate novice learning, but there is…
Descriptors: Cooperative Learning, Problem Solving, Computation, Thinking Skills
Fan Xu; Ana-Paula Correia – Journal of Computing in Higher Education, 2024
As online learning has become an inevitable trend in the post-peak era of the COVID-19 pandemic, distributed pair programming (DPP) is gaining momentum in both education and industry. DDP serves as a collaborative programming approach and also benefits the development of computational thinking, a fundamental skill in today's world. This study…
Descriptors: Programming, Computer Science Education, Cooperative Learning, Learning Activities
Satratzemi, Maya; Stelios, Xinogalos; Tsompanoudi, Despina – Journal of Educational Computing Research, 2023
This paper presents a Systematic Literature Review (SLR) of fifty-seven studies on Distributed Pair Programming (DPP) in higher education, identifying which studies investigated factors on the effectiveness of DPP as a method for learning programming, factors related to mediating and stimulating interactions between students, the…
Descriptors: Programming, Teamwork, Higher Education, Instructional Effectiveness
Praharaj, Sambit; Scheffel, Maren; Drachsler, Hendrik; Specht, Marcus – IEEE Transactions on Learning Technologies, 2021
Collaboration is one of the important 21st-century skills. It can take place in remote or co-located settings. Co-located collaboration (CC) is a very complex process that involves subtle human interactions that can be described with indicators like eye gaze, speaking time, pitch, and social skills from different modalities. With the advent of…
Descriptors: Learning Analytics, 21st Century Skills, Learning Modalities, Task Analysis
Active Learning in the Context of the Teaching/Learning of Computer Programming: A Systematic Review
Berssanette, João Henrique; de Francisco, Antonio Carlos – Journal of Information Technology Education: Research, 2021
Aim/Purpose: This paper presents the results of a systematic literature review that sought to identify the studies that relate the different pedagogical techniques by which active learning is developed in the context of the teaching/learning of computer programming, with the objective to characterize the approaches, the pedagogical techniques…
Descriptors: Active Learning, Computer Science Education, Programming, Educational Research
Ng, Davy Tsz Kit; Lee, Min; Tan, Roy Jun Yi; Hu, Xiao; Downie, J. Stephen; Chu, Samuel Kai Wah – Education and Information Technologies, 2023
In recent years, with the popularity of AI technologies in our everyday life, researchers have begun to discuss an emerging term "AI literacy". However, there is a lack of review to understand how AI teaching and learning (AITL) research looks like over the past two decades to provide the research basis for AI literacy education. To…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technological Literacy, Literacy Education
Buitrago Flórez, Francisco; Casallas, Rubby; Hernández, Marcela; Reyes, Alejandro; Restrepo, Silvia; Danies, Giovanna – Review of Educational Research, 2017
Computational thinking (CT) uses concepts that are essential to computing and information science to solve problems, design and evaluate complex systems, and understand human reasoning and behavior. This way of thinking has important implications in computer sciences as well as in almost every other field. Therefore, we contend that CT should be…
Descriptors: Computation, Computer Science Education, Programming, Problem Solving
Hsu, Yu-Chang; Baldwin, Sally; Ching, Yu-Hui – TechTrends: Linking Research and Practice to Improve Learning, 2017
In this paper, we provide an overview of the current efforts in maker education, supported by a review of empirical studies. Our synthesis will inform the community about learning outcomes, potential and common issues, challenges, resources, and future research direction regarding maker education.
Descriptors: Programming, Coding, Teaching Methods, Literature Reviews
Kongcharoen, Chaknarin; Hwang, Wu-Yuin; Ghinea, Gheorghita – Educational Technology & Society, 2017
More studies are concentrating on using virtualization-based labs to facilitate computer or network learning concepts. Some benefits are lower hardware costs and greater flexibility in reconfiguring computer and network environments. However, few studies have investigated effective mechanisms for using virtualization fully for collaboration.…
Descriptors: Experimental Groups, Control Groups, Comparative Analysis, Academic Achievement
Hanks, Brian; Fitzgerald, Sue; McCauley, Renee; Murphy, Laurie; Zander, Carol – Computer Science Education, 2011
This article provides a review of educational research literature focused on pair programming in the undergraduate computer science curriculum. Research suggests that the benefits of pair programming include increased success rates in introductory courses, increased retention in the major, higher quality software, higher student confidence in…
Descriptors: Introductory Courses, Educational Research, Undergraduate Students, Cooperative Learning