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Gerit Wagner; Laureen Thurner – Journal of Information Systems Education, 2025
Git, as the leading version-control system, is frequently employed by software developers, digital product managers, and knowledge workers. Information systems (IS) students aspiring to fill software engineering, management, or research positions would therefore benefit from familiarity with Git. However, teaching Git effectively can be…
Descriptors: Computer Science Education, Information Systems, Teaching Methods, Computer Software
Feijoo-Garcia, Pedro G.; Kapoor, Amanpreet; Gardner-McCune, Christina; Ragan, Eric – IEEE Transactions on Education, 2022
Contribution: In this article, the authors present findings and insights on the efficacy of using an educational block-based programming (BBP) environment--Blocks4DS, to teach the binary search tree (BST). Background: For a decade, BBP environments have been a hot topic in the computer science education (CSEd) community to promote interactive…
Descriptors: Computer Science Education, Programming, Programming Languages, Mathematics
Allen, Oliver; Downs, Xavier; Varoy, Elliot; Luxton-Reilly, Andrew; Giacaman, Nasser – IEEE Transactions on Learning Technologies, 2022
Object-oriented programming (OOP) is not only an integral part of computing degrees but also a requirement in non-computing majors such as engineering. Understanding OOP concepts can be difficult for novice programmers, and often leads to the development of misconceptions. This is exacerbated when the discipline requires students to learn a…
Descriptors: Programming, Programming Languages, Majors (Students), Learning Activities
Amoudi, Ghada; Tbaishat, Dina – Education and Information Technologies, 2023
Social network analysis involves delicate and sophisticated mathematical concepts which are abstract and challenging to acquire by traditional methods. Many studies show that female students perform poorly in computer science-related courses compared to male students. To address these issues, this research investigates the impact of employing a…
Descriptors: Computer Science, Graduate Students, Outcomes of Education, Educational Technology
McGarr, Oliver – Teaching Education, 2023
The metaphors used by teachers to explain the nature of student learning and student difficulty can reveal a great deal about how teachers conceive the teaching and learning process. This is an important area of research as it can shed light on how they see their role in the learning process and how they should intervene to assist students in…
Descriptors: High School Teachers, Teacher Attitudes, Figurative Language, Learning Processes
Paola Iannone; Athina Thoma – International Journal of Mathematical Education in Science and Technology, 2024
Programming is becoming increasingly common in mathematics degrees as it is a desirable skill for new graduates. However, research shows that its use is mostly restricted to computational or modelling tasks. This paper reports a study on students' perceptions of and difficulties with Lean, an interactive theorem prover introduced as part of a…
Descriptors: Programming, Mathematics Instruction, Computer Science Education, Student Attitudes
Wesley Beccaro; Elisabete Galeazzo; Denise Consonni; Henrique E. Maldonado Peres; Leopoldo R. Yoshioka – IEEE Transactions on Education, 2024
Contribution: The evaluation of analog-to-digital conversion methods constitutes a key component of an Instrumentation course. This study introduces an affordable educational platform based on Arduino UNO board designed for teaching analog-to-digital conversion concepts, supported by virtual instruments (VIs). Background: ADCs are electronic…
Descriptors: Engineering Education, Learning Management Systems, Teaching Methods, Computer Simulation
Connor David Nelson – ProQuest LLC, 2024
This dissertation introduces a comprehensive framework aimed at reshaping applied cybersecurity education to significantly ease the learning curve, at scale, through three synergistic innovations. These methods address the daunting educational barriers in cybersecurity, enabling learners at all levels to understand complex security concepts more…
Descriptors: Computer Security, Information Security, Computer Science Education, Models
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
Ragonis, Noa; Shmallo, Ronit – Informatics in Education, 2022
Object-oriented programming distinguishes between instance attributes and methods and class attributes and methods, annotated by the "static" modifier. Novices encounter difficulty understanding the means and implications of "static" attributes and methods. The paper has two outcomes: (a) a detailed classification of aspects of…
Descriptors: Programming, Computer Science Education, Concept Formation, Thinking Skills
Nongkhai, Lalita Na; Wang, Jingyun; Mendori, Takahiko – International Association for Development of the Information Society, 2022
This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…
Descriptors: Programming Languages, Computer Science Education, Intelligent Tutoring Systems, Thinking Skills
Menon, Pratibha – Information Systems Education Journal, 2023
Instruction in an introductory programming course is typically designed to introduce new concepts and to review and integrate the more recent concepts with what was previously learned in the course. Therefore, most exam questions in an introductory programming course require students to write lines of code that contain syntactic elements…
Descriptors: Introductory Courses, Programming Languages, Computer Science Education, Correlation
Sand, Odd Petter; Lockwood, Elise; Caballero, Marcos D.; Mørken, Knut – Digital Experiences in Mathematics Education, 2022
We present here the lessons learned by iteratively designing a tutorial for first-year university students using computer programming to work with mathematical models. Alternating between design and implementation, we used video-taped task interviews and classroom observations to ensure that the design promoted student understanding. The final…
Descriptors: College Freshmen, Mathematical Models, Video Technology, Computer Science Education
Nijenhuis-Voogt, Jacqueline; Bayram-Jacobs, Durdane; Meijer, Paulien C.; Barendsen, Erik – Informatics in Education, 2022
Teaching algorithmic thinking enables students to use their knowledge in various contexts to reuse existing solutions to algorithmic problems. The aim of this study is to examine how students recognize which algorithmic concepts can be used in a new situation. We developed a card sorting task and investigated the ways in which secondary school…
Descriptors: Algorithms, Concept Formation, Problem Solving, Thinking Skills
Lavy, Ilana – Informatics in Education, 2023
This paper describes a pilot study that explores students learning how to program via a multi-disciplinary approach. The study participants were eleven 6th grade students who learned programming fundamentals via music activities in a Scratch 3.0 environment. These activities included the programming of familiar melodies and the development of…
Descriptors: Computer Science Education, Programming, Grade 6, Music