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Kather, Philipp; Duran, Rodrigo; Vahrenhold, Jan – ACM Transactions on Computing Education, 2022
Previous studies on writing and understanding programs presented evidence that programmers beyond a novice stage utilize plans or plan-like structures. Other studies on code composition showed that learners have difficulties with writing, reading, and debugging code where interacting plans are merged into a short piece of code. In this article, we…
Descriptors: Eye Movements, Coding, Algorithms, Schemata (Cognition)
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Jinbo Tan; Lei Wu; Shanshan Ma – British Journal of Educational Technology, 2024
The purpose of this study was to investigate the collaborative dialogue patterns of pair programming and their impact on programming self-efficacy and coding performance for both slow- and fast-paced students. Forty-six postgraduate students participated in the study. The students were asked to solve programming problems in pairs; those pairs'…
Descriptors: Coding, Programming, Computer Science Education, Self Efficacy
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Mik Fanguy; Jamie Costley; Matthew Courtney; Kyungmee Lee – Interactive Learning Environments, 2024
The present study (n = 357) investigates the effects of collaborative note-taking behaviors on learning performance and note quality. To conceptualize collaborative note-taking, the present study introduces the collaborative encoding-storage paradigm, where collaborative writing behaviors are viewed as types of collaborative encoding and the…
Descriptors: Foreign Countries, Graduate Students, Graduate Study, Writing Skills
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Pishtari, Gerti; Prieto, Luis P.; Rodriguez-Triana, Maria Jesus; Martinez-Maldonado, Roberto – Journal of Learning Analytics, 2022
This research was triggered by the identified need in literature for large-scale studies about the kinds of designs that teachers create for mobile learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analyzing designs has been to manually classify them…
Descriptors: Scaling, Classification, Context Effect, Telecommunications
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Simon D. Weaver; G. Alex Ambrose; Rebecca J. Whelan – Journal of Chemical Education, 2022
Students completing undergraduate majors in chemistry are not typically required to undergo formal training in computer programming or coding. As a result, many chemistry students are graduating without skills in understanding, writing, or manipulating computer code. This skills gap places students at a disadvantage, considering the widespread and…
Descriptors: Coding, Undergraduate Students, Majors (Students), Chemistry
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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