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Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
Pamela Liebig; Viviane Filor; Mariana Scheumann; Martina Buchholz; Klaus Jung – Technology, Knowledge and Learning, 2024
Many academic teachers present data as static graphics in their lectures and courses. However, data structures have become more complex in the last decades, especially in the biomedical disciplines, and interactive graphics can provide a better means to communicate the scientific contents to students. Besides, the technological qualifications of…
Descriptors: Medicine, Natural Sciences, Workshops, Computer Graphics
Jesús E. Hernández-Zavaleta; Corey Brady; Sandra Becker; Douglas B. Clark – Mathematical Thinking and Learning: An International Journal, 2025
Research on geometric transformations suggests that early learners possess intuitive understandings grounded in motion metaphors, transitioning to mappings. The processes through which students transition between these two conceptions are not fully understood. We propose that Vygotskian hybridizing (related to Vygotsky's articulation of everyday…
Descriptors: Geometric Concepts, Motion, Scientific Concepts, Programming
Milos Ilic; Goran Kekovic; Vladimir Mikic; Katerina Mangaroska; Lazar Kopanja; Boban Vesin – IEEE Transactions on Learning Technologies, 2024
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…
Descriptors: Artificial Intelligence, Academic Achievement, Prediction, Programming
Xue Ran; Zhigang Li; Yalin Yang – SAGE Open, 2025
Against the backdrop of the deep integration of chatbots into education, this study, based on Self-Determination Theory (SDT) and the UTAUT model, constructed a model of factors influencing college students' self-directed learning ability in programming. Through a review of existing literature, six key determinants were identified: learning…
Descriptors: Programming, College Students, Independent Study, Artificial Intelligence
Gustavo Martins Nunes Avellar; Maria Lydia Fioravanti; William Simao de Deus; Kalinka Regina Lucas Jaquie Castelo Branco; Ellen Francine Barbosa – Education and Information Technologies, 2024
High-resolution displays on mobile devices, accurate motion sensors, and efficient mobile processors have taken virtual reality (VR), essentially employed in laboratory, to everyday environments, including homes, workplaces, and classrooms. Regarding programming education, it has been investigated in conjunction with various educational…
Descriptors: Computer Oriented Programs, Elementary Secondary Education, Programming, Concept Formation
Bih Epse Fofang Janet Shufor – ProQuest LLC, 2024
Computational thinking (CT) has been supported as an important skill every young person should possess for the 21st century, with possible implications for problem-solving, self-expression, and creativity. Numerous initiatives, both within and outside classroom settings, have been developed in response to policy mandates aiming at broadening…
Descriptors: Computation, Thinking Skills, Elementary School Students, Assistive Technology
Rawad Chaker; Théodore Njingang Mbadjoin – Technology, Pedagogy and Education, 2025
Drawing on a situated approach, the authors study the joint effects of lesson plans, digital artefacts (robots and tablets), spatial behaviours of students and teachers, on reconfiguration of space and interactions between students and teachers. Video observations, cluster analyses and structural equation modelling of indicators show that the…
Descriptors: Robotics, Elementary Secondary Education, Space Utilization, Lesson Plans
Mahfudzah Othman; Aznoora Osman; Siti Zulaiha Ahmad; Natrah Abdullah – Turkish Online Journal of Distance Education, 2024
This paper discusses the design of interactive gamified assessments for an introductory programming course based on the multimedia segmenting principle and gamification. The objective is to develop more engaging online programming assessments for low-achieving students. The general design follows Nielsen's design guidelines and incorporates…
Descriptors: Gamification, Interaction, Programming, Low Achievement
Morgan M. Fong; David DeLiema; Virginia J. Flood; Oia Walker-van Aalst – International Journal of Computer-Supported Collaborative Learning, 2025
Working solutions to problems are not definitive end points. As a result, code that is technically correct can still be treated as needing revising -- a practice in computer programming known as refactoring. We document how late elementary to middle school students and their undergraduate instructors weigh the possibility of refactoring working…
Descriptors: Computation, Thinking Skills, Norms, Computer Science Education
Li, Qi; Jiang, Qiang; Liang, Jyh-Chong; Xiong, Weiyan; Liang, Yu; Zhao, Wei – Education and Information Technologies, 2023
Different instructional strategies have been drawn to assist elementary school students in improving computational thinking (CT) skills and student engagement (SE) in unplugged programming activities. This paper aimed to explore how the interactive strategies of unplugged programming affect CT skills and SE. The study was conducted based on a…
Descriptors: Elementary School Students, Programming, Computation, Thinking Skills
Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
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
Ardith D. Bravenec; Karen D. Ward – Journal of Chemical Education, 2023
Chemistry simulations using interactive graphic user interfaces (GUIs) represent uniquely effective and safe tools to support multidimensional learning. Computer literacy and coding skills have become increasingly important in the chemical sciences. In response to both of these facts, a series of Jupyter notebooks hosted on Google Colaboratory…
Descriptors: Chemistry, Interaction, Computer Simulation, Undergraduate Students
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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