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Hacer Güner; Erkan Er – Education and Information Technologies, 2025
As being more prevalent in educational settings, understanding the impact of artificial intelligence tools on student behaviors and interactions has become crucial. In this regard, this study investigates the dynamic interactions between students and ChatGPT in programming learning, focusing on how different instructional interventions influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Programming, Training
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Matthew Bahnson; Allison Godwin; Christian Schunn; Eric McChesney; Linda DeAngelo – International Journal of STEM Education, 2025
Background: The demand for engineers in the workforce continues to rise, which requires increased retention and degree completion at the undergraduate level. Engineering educators need to better understand opportunities to retain students in engineering majors. A strong sense of belonging in engineering represents one important contributor to…
Descriptors: Academic Persistence, Engineering Education, Sense of Belonging, Intervention
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Dengkang Chen; Yi Zhang; Heng Luo; Zhimin Gao; Lufang Yu; Yuru Lin – Journal of Educational Computing Research, 2026
Promoting computational thinking (CT) through programming activities is crucial for cultivating talent in today's digital landscape. However, recent research have revealed that students often face significant CT challenges during actual programming tasks. While it is widely recognized that additional scaffolding should be provided to support…
Descriptors: Scaffolding (Teaching Technique), Programming, Computation, Thinking Skills
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Hanzhu Yang; Linlin Hu; Hao Wang; Yunfei Xin – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a cognitive approach intricately linked with core competencies in Science, Technology, Engineering, and Mathematics (STEM). Numerous studies have explored strategies to effectively integrate CT into STEM education and systematically evaluated the multidimensional impact on student learning outcomes.…
Descriptors: Integrated Activities, Computation, Thinking Skills, STEM Education
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Aykut Durak; Vahide Bulut – Technology, Knowledge and Learning, 2025
The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the…
Descriptors: Prediction, Low Achievement, High Achievement, Academic Achievement
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Maria Jesús Marco-Galindo; Julià Minguillón; David García-Solórzano; Teresa Sancho-Vinuesa – ACM Transactions on Computing Education, 2025
Objectives: This study addresses the challenges faced by students repeating an introductory programming course (CS1) at an online university, where dropout and failure rates remain high. While programming education has been widely studied, targeted interventions for repeating students remain scarce. Our research aims to analyze the experiences of…
Descriptors: Computer Science Education, Online Courses, Repetition, Introductory Courses
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Kyungbin Kwon; Thomas A. Brush; Keunjae Kim; Minhwi Seo – Journal of Educational Computing Research, 2025
This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…
Descriptors: Thinking Skills, Computer Science Education, Robotics, Programming
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Carla De Lira; Shira Broschat; Olusola Adesope; Christopher Hundhausen – ACM Transactions on Computing Education, 2025
The increasing demand for a diverse pool of computing talent combined with a persistent shortage of skilled workers has engendered a need to support students pursuing Computer Science (CS) careers. Students often cite social isolation and lack of support as reasons for withdrawing from computing programs. This is especially true for those from…
Descriptors: Empathy, Emotional Development, Psychological Patterns, Learning Processes
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Weipeng Yang; Chaopai Lin; X. Christine Wang; Alfredo Bautista; Hui Li; Jesus Alfonso D. Datu; Bi Ying Hu – Journal of Educational Computing Research, 2026
The integration of coding into early childhood education has gained traction globally, yet evidence of its efficacy in fostering diverse developmental domains remains limited. This study aimed to (1) assess effects of a coding curriculum on preschoolers' computational thinking (CT), math, language, and social-emotional outcomes, and (2) examine…
Descriptors: Foreign Countries, Coding, Computation, Curriculum Implementation