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Andrzejewska, Magdalena; Kotoniak, Pawel – Informatics in Education, 2020
The article discusses the findings of longitudinal studies (three stages spanning 6 months) which were to investigate the process of acquiring the ability to comprehension program code by the computer science students having started to learn to program. The studies were conducted with the use of a knowledge measurement test, the diagnostic survey,…
Descriptors: Programming, Computer Science Education, Knowledge Level, Eye Movements
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Sabarinath, Roshni; Quek, Choon Lang Gwendoline – Education and Information Technologies, 2020
Programming in schools is no longer a novel subject. It is now quite commonly found in our schools either in formal or informal curriculum. Programmers use creative learning tactics to solve problems and communicate ideas. Learning to program is generally considered challenging. Developing and implementing new methodologies in teaching programming…
Descriptors: Computer Science Education, Programming, Peer Evaluation, Coding
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Morales-Vidales, J. Abraham; Salazar, S. Alejandro Sandoval; Jacobo-Fernández, Jimena M.; Tlahuice-Flores, Alfredo – Journal of Chemical Education, 2020
This work covers a three-week program designed to provide undergraduate students with a background in structural chemistry and materials science. Sessions are based on the programming of regular polyhedra and their geometrical relationships by using an object-oriented language (i.e., POV-Ray). Three lectures introduce the basics of programming…
Descriptors: Chemistry, Geometry, College Science, Undergraduate Students
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Lockwood, Elise; De Chenne, Adaline – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
Computational activity is increasingly relevant in education and society, and researchers have investigated its role in students' mathematical thinking and activity. More work is needed within mathematics education to explore ways in which computational activity might afford development of mathematical practices. In this paper, we specifically…
Descriptors: Undergraduate Students, Computation, Problem Solving, Programming
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Miao, Dezhuang; Dong, Yu; Lu, Xuesong – International Educational Data Mining Society, 2020
In colleges, programming is increasingly becoming a general education course of almost all STEM majors as well as some art majors, resulting in an emerging demand for scalable programming education. To support scalable education, teaching activities such as grading and feedback have to be automated. Recently, online judge systems have been…
Descriptors: Programming, Prediction, Error Patterns, Models
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Gitinabard, Niki; Okoilu, Ruth; Xu, Yiqao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin – International Educational Data Mining Society, 2020
Teamwork, often mediated by version control systems such as Git and Apache Subversion (SVN), is central to professional programming. As a consequence, many colleges are incorporating both collaboration and online development environments into their curricula even in introductory courses. In this research, we collected GitHub logs from two…
Descriptors: Teamwork, Group Activities, Student Projects, Programming
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Efremov, Aleksandr; Ghosh, Ahana; Singla, Adish – International Educational Data Mining Society, 2020
Intelligent tutoring systems for programming education can support students by providing personalized feedback when a student is stuck in a coding task. We study the problem of designing a hint policy to provide a next-step hint to students from their current partial solution, e.g., which line of code should be edited next. The state of the art…
Descriptors: Intelligent Tutoring Systems, Feedback (Response), Computer Science Education, Artificial Intelligence
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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
Neftali David Watkinson Medina – ProQuest LLC, 2020
Contemporary research in cognitive and neurological sciences confirms that human brains perform object detection and classification by identifying membership to a single class. When observing a scene with various objects, we can quickly point out and answer queries about the object we recognize, without needing to know what the unknown objects…
Descriptors: Classification, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Shanley, Nicole; Martin, Florence; Hite, Nicole; Perez-Quinones, Manuel; Ahlgrim-Delzell, Lynn; Pugalee, David; Hart, Ellen – TechTrends: Linking Research and Practice to Improve Learning, 2022
Current research surrounding online computer science education emphasizes the need for high-quality professional development opportunities. However, there is a gap in research in the inclusion of online computer science educators to identify needs and strategies that make the online computer science courses effective. Through a…
Descriptors: High School Teachers, Computer Science Education, Theory Practice Relationship, Partnerships in Education
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Rowlett, Peter; Corner, Alexander S. – International Journal of Mathematical Education in Science and Technology, 2022
During the COVID-19 pandemic, the teaching of programming for undergraduate mathematicians was moved online. This was delivered asynchronously, with students working through notes and exercises and asking for help from staff via online messages as needed. Staff delivery time was redirected from content delivery into a formal system of formative…
Descriptors: COVID-19, Pandemics, Programming, Undergraduate Students
Barragán Díaz, Juana; Gagnon, Amélie – UNESCO International Institute for Educational Planning, 2022
The purpose of these Guidelines and Toolkit is to describe the different operational tools developed to help education stakeholders systematically collect and analyse the efforts put in place to ensure the right to education. The guidelines take a new approach, addressing the RTE within a State's planning and programming documents while supporting…
Descriptors: Student Rights, Civil Rights, Access to Education, Educational Planning
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Mari, Emilie; Millon Faure, Karine; Assude, Teresa – International Journal for Technology in Mathematics Education, 2022
In this article, we focus on how spatial knowledge can be articulated with the integration of programmable floor robots in the mathematics classroom. We describe the observation grid we conceived to take into account three distinct dimensions: spatial knowledge, robotics and computer programming. Then, we implement this tool to analyse mathematics…
Descriptors: Programming, Robotics, Elementary School Students, Spatial Ability
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Hogenboom, Sally A. M.; Hermans, Felienne F. J.; Van der Maas, Han L. J. – Computer Science Education, 2022
Background and Context: Valid assessment of understanding of programming concepts in primary school children is essential to implement and improve programming education. Objective: We developed and validated the Computerized Adaptive Programming Concepts Test (CAPCT) with a novel application of Item Response Theory. The CAPCT is a web-based and…
Descriptors: Computer Assisted Testing, Adaptive Testing, Programming, Knowledge Level
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Michailidis, Nikolaos; Kapravelos, Efstasthios; Tsiatsos, Thrasyvoulos – Interactive Learning Environments, 2022
Students' skilful use of self-regulatory learning strategies is becoming fundamental to the advent of blog-based learning. Moreover, the use of Interaction Analysis (IA) in studying the learning dynamics in Computer-Supported Collaborative Learning (CSCL) activities is on the increase, particularly aiming to support participants by means of IA…
Descriptors: Interaction Process Analysis, Student Motivation, Learning Strategies, Electronic Learning
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