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Showing 1 to 15 of 55 results Save | Export
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Michael Kolling – Informatics in Education, 2024
The principles of programming language design for learning and teaching have been described and discussed for several decades. Most influential was the work of Niklaus Wirth, describing principles such as simplicity, modularity, orthogonality, and readability. So why is this still an area of fundamental disagreement among educators? Why can…
Descriptors: Programming Languages, Design, Novices, Computer Science Education
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Laurent Cervoni; Julien Brasseur – International Association for Development of the Information Society, 2022
A Prolog program consists of a set of facts and rules rather than imperative statements, commonly used in most other programming languages. Therefore, the Prolog language is used to encode logic, from which the inference engine deduces logical conclusions. In this article, we argue that the use of the Prolog language can be useful to help students…
Descriptors: Teaching Methods, Mathematics Instruction, Problem Solving, Programming Languages
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Judith Galezer; Smadar Szekely – Informatics in Education, 2024
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts…
Descriptors: Learning Management Systems, Game Based Learning, Computer Science Education, Teaching Methods
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Obeidat, Raghad; Alzoubi, Hussein – International Journal of Information and Communication Technology Education, 2021
Curricula in computer engineering, computer science, and other related fields include several courses about hardware design. Examples of these courses are digital logic design, computer architecture, microprocessors, computer interfacing, hardware design, embedded systems, switching theorem, and others. In order for the students to realize the…
Descriptors: Programming Languages, Computer Science Education, Concept Formation, Engineering Education
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Felienne Hermans – Informatics in Education, 2024
This autoethnographic paper is part of a special issue trying to answer the question "How to design or choose languages for programming novices?" I will describe how my programming language Hedy was created, how the initial design goals were formed, how my perspectives on learning and teaching changed along the way, and how Hedy changed…
Descriptors: Decision Making, Programming Languages, Novices, Computer Science Education
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Phung, Tung; Cambronero, José; Gulwani, Sumit; Kohn, Tobias; Majumdarm, Rupak; Singla, Adish; Soares, Gustavo – International Educational Data Mining Society, 2023
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…
Descriptors: Computational Linguistics, Feedback (Response), Programming, Computer Science Education
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Phillips, A. M.; Gouvea, E. J.; Gravel, B. E.; Beachemin, P. -H.; Atherton, T. J. – Physical Review Physics Education Research, 2023
Computation is intertwined with essentially all aspects of physics research and is invaluable for physicists' careers. Despite its disciplinary importance, integration of computation into physics education remains a challenge and, moreover, has tended to be constructed narrowly as a route to solving physics problems. Here, we broaden Physics…
Descriptors: Physics, Science Instruction, Teaching Methods, Models
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Allbee, Quinn; Barber, Robert – Biochemistry and Molecular Biology Education, 2021
Biology is a data-driven discipline facilitated greatly by computer programming skills. This article describes an introductory experiential programming activity that can be integrated into distance learning environments. Students are asked to develop their own Python programs to identify the nature of alleles linked to disease. This activity…
Descriptors: Genetics, Science Instruction, Programming Languages, Biology
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Steven Sclarow; A. J. Raven; Mart Doyle – Journal of Information Systems Education, 2024
This paper presents field-tested improvements over an 11-year period of a large-scale "Introduction to Information Systems" core business school course and provides a framework for implementation. Engagement and learning in large-scale courses can prove challenging, especially when the class is a requirement within a business school's…
Descriptors: Learning Strategies, Information Systems, Large Group Instruction, Introductory Courses
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Yue, Kwok-Bun; Chandrasekar, Karthika; Gullapalli, Hema – Information Systems Education Journal, 2019
Bitcoin is the first major decentralized cryptocurrency with wide acceptance. A core technological innovation of Bitcoin is blockchain, a secure and pseudonymous general ledger that stores every Bitcoin transaction. Blockchain has received enormous attention from both the commercial and academic worlds, and it is generally recognized as the…
Descriptors: Monetary Systems, Information Storage, Databases, Technological Advancement
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Peiris, K. Dharini Amitha; Gallupe, R. Brent – Decision Sciences Journal of Innovative Education, 2018
Recommender-driven online learning systems (ROLS) are at the forefront of new computer-based learning. They incorporate machine learning to allow learning-by-doing, generating personalized recommendations in the process. This article describes the evaluations of a new type of online learning systems, ROLS. This evaluation was carried out in three…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming Languages, Conventional Instruction
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Solin, Pavel; Roanes-Lozano, Eugenio – International Journal for Technology in Mathematics Education, 2020
Many mathematics educators are not aware of a strong connection that exists between the education of computer programming and mathematics. The reason may be that they have not been exposed to computer programming. This connection is worth exploring, given the current trends of automation and Industry 4.0. Therefore, in this paper we take a closer…
Descriptors: Computer Science Education, Mathematics Education, Programming Languages, Interdisciplinary Approach
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Arboledas-Brihuega, David – Journal of Technology and Science Education, 2019
It is evident that the society in which we live will demand more and more qualified and specialized positions in the different branches of engineering. Now we are in a highly digitized world in which information is continuously transmitted through data communication networks with the expectation of security and confidentiality. Students who are in…
Descriptors: Mathematics, Curriculum Implementation, Active Learning, Student Projects
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Luce, Thom – Information Systems Education Journal, 2020
This paper reviews the evolution of a senior level, live-client project development capstone class in the Analytics and Information Systems department of an AACSB accredited College of Business. The paper traces changes in methodologies and technologies leading to the current Scrum based approach, using ASP.NET Model-View-Controller, MVC, as the…
Descriptors: Capstone Experiences, College Seniors, Information Systems, Computer Software
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Maruyama, Ryoga; Ogata, Shinpei; Kayama, Mizue; Tachi, Nobuyuki; Nagai, Takashi; Taguchi, Naomi – International Association for Development of the Information Society, 2022
This study aims to explore an educational learning environment that supports students to learn conceptual modelling with the unified modelling language (UML). In this study, we call the describing models "UML programming." In this paper, we show an educational UML programming environment for science, technology, engineering, art, and…
Descriptors: Case Studies, Programming Languages, Learning Processes, Models
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