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Showing 1 to 15 of 87 results Save | Export
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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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Gary K. W. Wong; Shan Jian; Ho-Yin Cheung – Education and Information Technologies, 2024
This study examined the developmental process of children's computational thinking using block-based programming tools, specifically algorithmic thinking and debugging skills. With this aim, a group of children (N = 191) from two primary schools were studied for two years beginning from the fourth grade, as they engaged in our block-based…
Descriptors: Thinking Skills, Skill Development, Computation, Algorithms
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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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Durmus Aslan; Songül Dagaynasi; Mehmet Ceylan – Education and Information Technologies, 2024
Geometric concepts are fundamental to early geometry education, and developmentally appropriate practices are crucial for teaching them to young children. Robotic coding is an effective tool in many areas of early mathematics and has significant potential in teaching geometric concepts. This study aimed to test the impact of a research-based…
Descriptors: Educational Technology, Geometry, Mathematical Concepts, Robotics
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Lee, Hsin-Yu; Lin, Chia-Ju; Wang, Wei-Sheng; Chang, Wei-Cyun; Huang, Yueh-Min – International Journal of STEM Education, 2023
In the realm of Science, Technology, Engineering, and Mathematic (STEM) education, computer programming stands as a vital discipline, amalgamating cross-disciplinary knowledge and fostering the capacity to solve real-world problems via fundamental concepts and logical methodologies inherent to computer science. Recognizing the important of…
Descriptors: Intervention, Elementary Secondary Education, Programming, Skill Development
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Lihui Sun; Junjie Liu – Educational Technology Research and Development, 2024
This study investigated the effects of the single programming approach (plugged-in and unplugged) and the mixed programming approach (plugged-in-first and unplugged-first) on the computational thinking (CT) skills of first-grade students. However, focusing only on the programming learning approach itself is insufficient. Therefore, the influences…
Descriptors: Thinking Skills, Computation, Grade 1, Elementary School Students
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McLoughlin, Shane; Tyndall, Ian; Pereira, Antonina – Journal of Behavioral Education, 2022
In recent years, small-scale studies have suggested that we may be able to substantially strengthen children's general cognitive abilities and intelligence quotient (IQ) scores using a relational operant skills training program (SMART). Only one of these studies to date has included an active Control Condition, and that study reported the smallest…
Descriptors: Cognitive Ability, Intelligence Quotient, Early Adolescents, Programming
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Brainin, Einat; Shamir, Adina; Eden, Sigal – Journal of Research on Technology in Education, 2022
The study's purpose was to examine the contribution of a programmable robot to an intervention program for promoting spatial ability (spatial relations, visual-memory, mental rotation) of preschool children. Eighty-four participants were randomly assigned to three intervention groups: programmable-robot-based intervention, traditional…
Descriptors: Kindergarten, Young Children, Robotics, Programming
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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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Wei Dai; Jionghao Lin; Flora Ji-Yoon Jin; Yi-Shan Tsai; Namrata Srivastava; Pierre Le Bodic; Dragan Gasevic; Guanliang Chen – Journal of Learning Analytics, 2025
Supporting academically at-risk students has attracted much attention in the field of learning analytics. However, much of the research in this area has focused on developing advanced machine learning models to predict students' academic performance, which alone is insufficient to improve student learning without the implementation of timely…
Descriptors: Learning Analytics, Identification, At Risk Students, Feedback (Response)
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Olivares, Daniel; Hundhausen, Christopher; Ray, Namrata – ACM Transactions on Computing Education, 2022
As in other STEM disciplines, early computing courses tend to stress individual assignments and discourage collaboration. This can lead to negative learning experiences that compel some students to give up. According to social learning theory, one way to improve students' learning experiences is to help them form and participate actively in…
Descriptors: Intervention, Interpersonal Relationship, Programming, Computer Science Education
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Polat, Elif; Yilmaz, Rabia Meryem – Education and Information Technologies, 2022
The aim of this study is to compare the effects of unplugged and plugged-in activities on academic achievement and computational thinking (CT) skills of sixth-grade students. Mixed-method research was carried out to explore whether there were differences between the groups, and to learn the students' opinions and experiences regarding the…
Descriptors: Learning Activities, Programming, Computer Science Education, Computation
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Allison Godwin; Heather Perkins; Linda DeAngelo; Eric McChesney; Kevin Kaufman-Ortiz; Gerard Dorve-Lewis; Beverly Conrique – IEEE Transactions on Education, 2024
Contribution: This study demonstrates the efficacy of an ecological belonging intervention in a first-year engineering programming course to increase belonging for Black, Latinx, and Indigenous (BLI) students and close academic equity gaps. Background: Introductory programming courses are often challenging for students and can shape belonging in…
Descriptors: Students, Engineering Education, Blacks, African Americans
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Jiang, Shan; Wong, Gary K. W. – Journal of Computer Assisted Learning, 2022
Over the past decade, the call to foster computational thinking (CT) in every child has received considerable attention. However, there is little understanding of whether children are developmentally ready to think computationally and what specific CT concepts and skills can be developed at various ages. This study explored the developmental and…
Descriptors: Age Differences, Gender Differences, Thinking Skills, Computation
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