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Carscadden, Kelly; Martin, Andrew – International Journal of Higher Education, 2022
An essential skill for STEM undergraduates is the ability to understand the world by manipulating, visualizing, and analyzing data to make or evaluate claims. Current online debate, without peer-reviewed literature, explores which of two common R syntax environments (base R or tidyverse) is best for teaching novice R users. In an in-person…
Descriptors: Biology, Undergraduate Students, Programming Languages, Teaching Methods
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Hopcan, Sinan; Polat, Elif; Albayrak, Ebru – Journal of Educational Computing Research, 2022
The pair programming approach is used to overcome the difficulties of the programming process in education environments. In this study, the interaction sequences during the paired programming of preservice teachers was investigated. Lag sequential analysis were used to explore students' behavioral patterns in pair programming. The participants of…
Descriptors: Cooperative Learning, Student Behavior, Programming, Computer Science Education
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Ronit Shmallo; Adi Katz – Computer Science Education, 2024
Background and Context: Gender research shows that women are better at reading comprehension. Other studies indicate a lower tendency in women to choose STEM professions. Since data modeling requires reading skills and also belongs in the areas of information systems and computer science (STEM professions), these findings provoked our curiosity.…
Descriptors: Gender Differences, Transfer of Training, Databases, Models
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Zhang, Yingbin; Paquette, Luc; Pinto, Juan D.; Liu, Qianhui; Fan, Aysa Xuemo – Education and Information Technologies, 2023
It is widely recognized that debugging is challenging for novice programmers and, as such, computing educators and researchers have called for explicit debugging instruction. Debugging requires various knowledge and skills, and different students may show different strengths and weaknesses. An understanding of such individual differences is…
Descriptors: Undergraduate Students, Programming, Novices, Troubleshooting
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Felipe Gonzalez-Pizarro; Claudia Lopez; Andrea Vasquez; Carlos Castro – IEEE Transactions on Education, 2024
While computational thinking arises as an essential skill worldwide, formal primary and secondary education in Latin America rarely incorporates mechanisms to develop it in their curricula. The extent to which students in the region acquire computational thinking skills remains largely unknown. To start addressing this void, this article presents…
Descriptors: Foreign Countries, Computation, Thinking Skills, College Freshmen
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Zha, Shenghua; Jin, Yi; Moore, Pamela; Gaston, Joe – Journal of Digital Learning in Teacher Education, 2020
Informed by the person-object theory of interest, this study deployed a mixed-method concurrent triangulation design and investigated the impact of major/specialization, gender, and module design on preservice teachers' interest in teaching computational thinking. The study was conducted in a flipped computational thinking module hosted in three…
Descriptors: Blended Learning, Preservice Teachers, Teacher Attitudes, Interests
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Busra Ozmen Yagiz; Ecenaz Alemdag – Education and Information Technologies, 2025
Resilience is a critical personality trait that allows one to deal with difficulties, learn from failures, and maintain a positive attitude during task performance. However, it has not been understudied in a complex and challenging educational domain. The current research intends to address this gap by analyzing the specific characteristics of…
Descriptors: Foreign Countries, Undergraduate Students, Resilience (Psychology), Programming
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Hopcan, Sinan; Polat, Elif; Albayrak, Ebru – Education and Information Technologies, 2022
Programming knowledge is more important than ever in the digital world. However, teaching programming can be challenging, especially with novice learners. Considerable research has been conducted into the most effective methods for teaching programming. Extreme apprenticeship, a variation of cognitive apprenticeship, is a method that has been used…
Descriptors: Programming, Apprenticeships, Flipped Classroom, Conventional Instruction
Méndez Irizarry, Alejandra S. – ProQuest LLC, 2023
This doctoral dissertation documents the experiences of women (student and faculty) in computer science programs. The research emerges from the literature on the gender gap in computing and video gaming. Thus, the author seeks to find the meaning that participants have granted to their experiences as undergraduate students and faculty, in a…
Descriptors: Females, Computer Science Education, Video Games, Gender Differences
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Forrester, Chiara; Schwikert, Shane; Foster, James; Corwin, Lisa – CBE - Life Sciences Education, 2022
The ability to program in R, an open-source statistical program, is increasingly valued across job markets, including ecology. The benefits of teaching R to undergraduates are abundant, but learning to code in R may induce anxiety for students, potentially leading to negative learning outcomes and disengagement. Anecdotes suggest a gender…
Descriptors: Undergraduate Students, Coding, Programming Languages, Anxiety
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Lai, Chin-Feng; Zhong, Hua-Xu; Chang, Jui-Hung; Chiu, Po-Sheng – Educational Technology Research and Development, 2022
A web design course has complex and diverse skills, which may attract students with an interest in technology and art fields to learn to program. It makes a need to have a flexible learning framework to develop all students to learn in a programming course. This study was designed to develop students' learning achievement and computational…
Descriptors: Models, Flipped Classroom, Programming, Academic Achievement
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Zhao, Dan; Muntean, Cristina Hava; Chis, Adriana E.; Muntean, Gabriel-Miro – IEEE Transactions on Education, 2021
Contribution: This research study deploys three serious games with various topics in an entry-level C Programming module and investigates students' learning outcomes. The study also explores whether learners belonging to different subgroups benefit more from the use of serious games than their peers. The subgroups are formed based on learner…
Descriptors: Programming, Programming Languages, Teaching Methods, Computer Games
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Chao Qin; Mengli Zhang; Zhixin Li; Luxin Chen – Education and Information Technologies, 2025
Artificial intelligence (AI) is being deeply integrated into human society. In the future, human collaboration with AI is inevitable. Therefore, exploring the attitudes of future workers--represented by current K-12 children--towards AI has become crucial. Robots stand as typical representatives of AI. Robot programming education is an important…
Descriptors: Foreign Countries, Rural Schools, Elementary School Students, Grade 6
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Olipas, Cris Norman P.; Luciano, Ruth G. – Online Submission, 2020
This research aims to identify, analyze, and evaluate the impact of using countdown timer when administering programming exercises for the Bachelor of Science in Information Technology students in one of the state universities in Central Luzon, Philippines. This research utilized descriptive-correlational approach to describe the impact of using…
Descriptors: Time on Task, Student Motivation, Programming, Anxiety
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Esteve-Mon, Francesc M.; Adell-Segura, Jordi; Llopis Nebot, María Ángeles; Valdeolivas Novella, Gracia; Pacheco Aparicio, Julio – Journal of Information Technology Education: Innovations in Practice, 2019
Aim/Purpose: This research aims to describe and demonstrate the results of an intervention through educational robotics to improve the computational thinking of student teachers. Background: Educational robotics has been increasing in school classrooms for the development of computational thinking and digital competence. However, there is a lack…
Descriptors: Computation, Thinking Skills, Skill Development, Robotics
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