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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
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
Svensson, Kim; Eriksson, Urban; Pendrill, Ann-Marie – Physical Review Physics Education Research, 2020
A small group of interested upper secondary education students participated in a workshop where they created a particle-based physics engine and used the engine to implement a hanging cloth simulation and a two-dimensional heat diffusion model of their own creation. During the implementation of their models, learning opportunities present…
Descriptors: Foreign Countries, Physics, Science Education, Secondary School Students
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
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
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
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
Alderson, David L. – INFORMS Transactions on Education, 2022
This article describes the motivation and design for introductory coursework in computation aimed at midcareer professionals who desire to work in data science and analytics but who have little or no background in programming. In particular, we describe how we use modern interactive computing platforms to accelerate the learning of our students…
Descriptors: Curriculum Design, Introductory Courses, Computation, Data Science
Prasad, Alvin; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
As a novice, learning computer programming is challenging. It requires learners to be inquisitive and acquire skills to analyze problems to get to solutions critically. Unfortunately, students drop out of programming courses because students think that programming is difficult to understand. The student's understanding of the problem definition is…
Descriptors: Programming, Computer Science Education, Skill Development, Computer Literacy
Ritella, Giuseppe; Loperfido, Fedela Feldia; De Giglio, Gianfranco; Scurani, Antonietta; Ligorio, Maria Beatrice – Dialogic Pedagogy, 2022
This article explores how the adoption of educational robotics, cloud-based animation software, and simplified visual programming software can provide valuable opportunities for dialogic interaction and learning. The potentialities of this type of activity are often overlooked in dialogic investigations. Based on empirical illustration, we discuss…
Descriptors: Robotics, Animation, Computer Software, Interaction