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Journal articles on the topic 'Computer programming'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Casey, Patrick J. "Computer Programming." Computers in the Schools 13, no. 1-2 (1997): 41–51. http://dx.doi.org/10.1300/j025v13n01_05.

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Huston, Robert K., Andrea M. Markell, Elizabeth A. McCulley, Matthew J. Marcus, and Howard S. Cohen. "Computer Programming." Nutrition in Clinical Practice 28, no. 4 (2013): 515–21. http://dx.doi.org/10.1177/0884533613490741.

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3

MALIK, MAREK. "Computer Programming." Pacing and Clinical Electrophysiology 15, no. 12 (1992): 2336–38. http://dx.doi.org/10.1111/j.1540-8159.1992.tb04175.x.

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Pinkan Indriani Daulay and Yahfizham Yahfizham. "Penerapan Algoritma Pemrograman dalam Pembelajaran Ilmu Komputer." Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika 1, no. 6 (2023): 91–103. http://dx.doi.org/10.61132/arjuna.v1i6.297.

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Algorithms are at the core of computer science and play an important role in computer programming. Programming aims to tell the computer to perform certain functions. Computer instructions provide a set of instructions written in a language that the computer can understand. Programming algorithms consist of various detailed sequential steps aimed at solving various computer programming problems. A computer is an electronic device capable of receiving, processing, storing and creating information. In general, a computer is a machine that is used to perform various tasks, such as data processing

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5

MacGregor, S. Kim. "Computer Programming Instruction." Journal of Research on Computing in Education 21, no. 2 (1988): 155–64. http://dx.doi.org/10.1080/08886504.1988.10781868.

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6

Cuypers, L. "Computer music programming." Microprocessing and Microprogramming 25, no. 1-5 (1989): 65–69. http://dx.doi.org/10.1016/0165-6074(89)90175-0.

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Gong, Weiwei. "Database Programming Technology Based on Computer Software Engineering." Journal of Physics: Conference Series 2173, no. 1 (2022): 012073. http://dx.doi.org/10.1088/1742-6596/2173/1/012073.

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Abstract Based on practical application, this paper further discusses the database programming technology in computer software engineering. Computer technology has developed to a certain extent and is still active in various fields. However, because the demand for computers in various industries and the requirements for technical performance are different, software engineers are required to develop software systems suitable for enterprises according to their own production characteristics. Because the efficiency and quality of computer software can not reach at present, the programming technol

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Da Rosa, Evandro Chagas Ribeiro, and Rafael De Santiago. "Ket Quantum Programming." ACM Journal on Emerging Technologies in Computing Systems 18, no. 1 (2022): 1–25. http://dx.doi.org/10.1145/3474224.

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Quantum programming languages (QPL) fill the gap between quantum mechanics and classical programming constructions, simplifying the development of quantum applications. However, most QPL addresses the inherent quantum programming problem, neglecting quantum computer implementation constraints. We present a runtime architecture for classical-quantum execution that mitigates the limitation of interaction between classical and quantum computers originated from the cloud-based model of quantum computation provided by several vendors, which implies a quantum computer processing in batch. In the pro

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Bezvoda, Václav. "Geography and Teaching of Programming." Geografie 94, no. 1 (1989): 47–53. http://dx.doi.org/10.37040/geografie1989094010047.

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The urgent need of computers in natural and social sciences will strongly influence the modification of the curricula at our universities and colleges. On the basis of an analysis of the history of application of computers at the Faculty of Natural Sciences of the Charles University, Prague and the situation in teaching mathematical programming and computer art, the paper formulates one of the most probable variants of teaching the above-mentioned subjects in geographical sciences. A special attention is paid to the role of microcomputers as the basic yet still problematic device in the comput

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Moole, Madhav, and Flavia Gonsalves. "Exploring the Application of Sanskrit in Computer Programming." International Journal of Science and Research (IJSR) 13, no. 6 (2024): 594–98. http://dx.doi.org/10.21275/sr24608114347.

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Herwijnen, Eric Van. "New Books: Computer Programming." Physics Essays 11, no. 4 (1998): 613. http://dx.doi.org/10.4006/1.3025349.

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Robertson, David, and Fausto Giunchiglia. "Programming the social computer." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, no. 1987 (2013): 20120379. http://dx.doi.org/10.1098/rsta.2012.0379.

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The aim of ‘programming the global computer’ was identified by Milner and others as one of the grand challenges of computing research. At the time this phrase was coined, it was natural to assume that this objective might be achieved primarily through extending programming and specification languages. The Internet, however, has brought with it a different style of computation that (although harnessing variants of traditional programming languages) operates in a style different to those with which we are familiar. The ‘computer’ on which we are running these computations is a social computer in

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CHALMERS, A. "COMPUTER PROGRAMMING FOR GEOGRAPHERS." New Zealand Geographer 46, no. 1 (1990): 56. http://dx.doi.org/10.1111/j.1745-7939.1990.tb01956.x.

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14

Hayes, Brian. "Programming Your Quantum Computer." American Scientist 102, no. 1 (2014): 22. http://dx.doi.org/10.1511/2014.106.22.

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15

Sauter, Vicki L. "Predicting computer programming skill." Computers & Education 10, no. 2 (1986): 299–302. http://dx.doi.org/10.1016/0360-1315(86)90031-x.

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16

Norman, Victor T. "Beauty and computer programming." ACM Inroads 3, no. 1 (2012): 46–48. http://dx.doi.org/10.1145/2077808.2077824.

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17

Roy, Debdulal Dutta. "Computer Programming Job Analysis." Management and Labour Studies 27, no. 4 (2002): 255–62. http://dx.doi.org/10.1177/0258042x0202700403.

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This study investigated relative uses of computer programming job characteristics across different organizations and effects of different demographic variables on job analysis ratings. Data were collected from 201 computer programers of 6 different organizations through checklist. Principal component analysis noted four mostly used job characteristics as program writing and testing, human relations, data analysis and user satisfaction. Of them only data analysis differed among different organizations significantly. No significant main and interaction effects of the demographic variables on job

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Ynostroza, Adeli, Sylvia Celedón-Pattichis, Marios Pattichis, Irán Tovar, and Melissa Ibarra. "Translanguaging in Computer Programming." International Journal of Multicultural Education 27, no. 1 (2025): 190–218. https://doi.org/10.18251/ijme.v27i1.4847.

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Although there have been efforts to broaden the participation of underrepresented students in Science, Technology, Engineering, and Mathematics (STEM), few studies have focused on how Latine bilingual students in rural contexts can access computer programming. The purpose of this case study is to examine how translanguaging facilitates understanding among emergent bilingual students. The findings showed how translanguaging is more than translation, how students used their linguistic repertoire to negotiate meaning, and the use of language brokering as a pedagogical tool. Implications for trans

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19

Toulouse. "Automatic Quantum Computer Programming: A Genetic Programming Approach." Genetic Programming and Evolvable Machines 7, no. 1 (2006): 125. http://dx.doi.org/10.1007/s10710-005-4866-8.

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Toulouse, Michel. "Automatic Quantum Computer Programming: A Genetic Programming Approach." Genetic Programming and Evolvable Machines 7, no. 1 (2006): 125–26. http://dx.doi.org/10.1007/s10710-006-4866-3.

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21

Saka, Owodunni Adewale. "Learning to Write Programs using Think-Pair-Share Programming Strategy: What are the Students’ Perceptions and Experiences?" Journal of Educational Sciences 4, no. 4 (2020): 705. http://dx.doi.org/10.31258/jes.4.4.p.705-717.

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The need to learn programming to solve many complex problems facing humankind necessitated this study. The purpose of the study was to collect information about students’ perceptions and experiences after exposure to the think-pair-share programming strategy. The sample consisted of 12 senior secondary school two students offering computer studies in Ijebu zone, Ogun State, Nigeria purposively selected from the two experimental groups. The data were collected through one-on-one in-depth interviews of the respondents using a Student Interview Guide (SIG). The data analysis was through thematic

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Laskov, Lasko M. "Introduction to Computer Programming Through a System of Tasks." Mathematics and Informatics LXIV, no. 6 (2021): 634–49. http://dx.doi.org/10.53656/math2021-6-7-int.

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Computer programming is a fundamental discipline in many academic programs, especially in the fields of informatics, applied mathematics, physics, and engineering. Despite its popularity, computer programming courses does not possess a widely-accepted methodology for its structure, and because of this reason, even introductory courses highly differ in their curriculum, approach, complexity, and even technical background. In this paper we propose a methodology for introductory computer programming course structure definition that is based on the concept of notion formation through a system of t

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Chen, Chen, Stuart Jeckel, Gerhard Sonnert, and Philip M. Sadler. "“Cowboy” and “Cowgirl” Programming: The Effects of Precollege Programming Experiences on Success in College Computer Science." International Journal of Computer Science Education in Schools 2, no. 4 (2019): 22–40. http://dx.doi.org/10.21585/ijcses.v2i4.34.

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This study examines the relationship between students' pre-college experience with computers and their later success in introductory computer science classes in college. Data were drawn from a nationally representative sample of 10,197 students enrolled in computer science at 118 colleges and universities in the United States. We found that students taking introductory college computer science classes who had programmed on their own prior to college had a more positive attitude toward computer science, lower odds of dropping out, and earned higher grades, compared with students who had learned

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Clement, Catherine A., D. Midian Kurland, Ronald Mawby, and Roy D. Pea. "Analogical Reasoning and Computer Programming." Journal of Educational Computing Research 2, no. 4 (1986): 473–86. http://dx.doi.org/10.2190/dfh5-e0pg-1ml4-m34j.

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Investigations of the cognitive demands of programming can inform teaching and validate claims that important cognitive skills are inherent in programming. Given reports of experts' use of analogical problem solving in programming, the study reported here related analogical reasoning to Logo programming mastery among high school students. Correlational analyses related pretests of analogical reasoning to posttests of programming mastery. As predicted, a significant correlation was found between analogical reasoning and the ability to write subprocedures which can be reused for several differen

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MR., SHARDUL P. GAVANDE, and ZAHIR MULANI PROF. "VOICE OVER PROGRAMMING." JournalNX - A Multidisciplinary Peer Reviewed Journal 3, no. 4 (2017): 139–41. https://doi.org/10.5281/zenodo.1453788.

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Programmers who are passionate about their work suffer from back pain and carpel tunnel syndrome. Why It is because they are addicted to their computers and keep coding or typing for long hours. Also for physically handicapped and blind people it is difficult for them to code. So is there any solution for it Well, there isnt any but being a programmer we can build such a tool which is completely voice based. This technology is all about simply talking to your computer to create software. https://journalnx.com/journal-article/20150296

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Olusola, Ogunlade Bamidele, Benedict Samaila Bahago, and Aderemi Sunday Ogunmodede. "Strengthen First-Computer-Based Computer-Based Student Programming Skills." European Journal of Education and Pedagogy 2, no. 6 (2021): 68–74. http://dx.doi.org/10.24018/ejedu.2021.2.6.207.

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    Programming is a difficult task that requires the creation of new ideas, thinking, and creative skills. The study, therefore, aimed to strengthen BASIC's programming skills to guide and mentor students at Veritas University Abuja, Nigeria. The researchers assessed students' interest in computer usage and gender differences. The study adopted the group that controls most, the experimental structure. 100 and 200 level undergraduate students are selected on a well-equipped computer and existing Computer lecturers are deliberately chosen at the University. Two non-stati

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27

Bradbury, Amanda, Eric Wiebe, Jessica Vandenberg, Jennifer Tsan, Collin Lynch, and Kristy Boyer. "The Interface Design of a Collaborative Computer Science Learning Environment for Elementary Aged Students." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 493–97. http://dx.doi.org/10.1177/1071181319631155.

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There is a currently a shortage of computer science professionals and this shortage is projected to continue into the foreseeable future as not enough students are selecting computer science majors. Researchers and policy-makers agree that development of this career pipeline starts in elementary school. Our study examined which collaborative programming setup, pair programming (two students collaborate on one computer) or side-by-side programming (two students collaborate on the same program from two computers), fifth-grade students preferred. We also sought to understand why students preferre

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Shalini, Mittal. "AMALGAM OF BIOTECHNOLOGY & COMPUTER PROGRAMMING." International Research Journal of Computer Science VII, no. VI (2020): 167–70. https://doi.org/10.26562/irjcs.2020.v0706.004.

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Many times it has been seen that the students of Biotechnology field resist in learning the computer programming. But with the growing needs, it is required to combine Biotechnology and Computer Programming field for smooth working of Biotechnology field in future. The purpose of this paper is to explore how Computer Programming can be used in Biotechnology field and why it is important for Biotechnology student to study Computer Programming. This is recommended for all Universities to include Computer Programming in Biotechnology field and most importantly to aware them why Computer Science P

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29

Petosa, Rita L. "The Benefits of Computer Programming in Developing Algorithmic Thinking." Mathematics Teacher 78, no. 2 (1985): 128–30. http://dx.doi.org/10.5951/mt.78.2.0128.

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Our school has not adopted a computer literacy course. Instead, we have opted to direct students’ interest in computers toward the study of mathematics. That is, we have infused an ongoing component of instruction in computer programming into our mathematics curriculum with interesting results.

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Chen, Milton. "Gender and Computers: The Beneficial Effects of Experience on Attitudes." Journal of Educational Computing Research 2, no. 3 (1986): 265–82. http://dx.doi.org/10.2190/wdry-9k0f-vcp6-jccd.

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This study examines gender differences in computer attitudes and experiences of adolescents. A sample of students from five Bay Area high schools was surveyed for their uses of computers before and during their high school years, in both formal instruction and informal settings. Adolescent males had greater total exposure to computers, based primarily on higher enrollments in computer programming classes and participation in voluntary experiences, such as home computer use. Fewer gender differences were found in enrollment in classes using computers for purposes other than programming. Overall

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Yuschenko, Yu O. "Invention of a computer "Kyiv" architecture using a concept of Addressed Programming Language." PROBLEMS IN PROGRAMMING, no. 4 (December 2021): 103–18. http://dx.doi.org/10.15407/pp2021.04.103.

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The article is devoted to the history of the origin of high-level programming in Ukraine. The transition from calculations by arithmometers and logarithmic rulers to solving problems on the computer "Kyiv" using pointers and tree-like formats (abstract data types are analogous) is described. The factors that contributed to this transition include: the experience of providing instructions for calculations by arithmometers, and the experience of programming on MESM. As a result a computer "Kyiv" has been developed with a hardware-implemented possibility of high-level programming, invention of th

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32

Tsai, Meng-Jung, Ching-Yeh Wang, and Po-Fen Hsu. "Developing the Computer Programming Self-Efficacy Scale for Computer Literacy Education." Journal of Educational Computing Research 56, no. 8 (2018): 1345–60. http://dx.doi.org/10.1177/0735633117746747.

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Computer programming has been gradually emphasized in recent computer literacy education and regarded as a requirement for all middle school students in some countries. To understand young students’ perceptions about their own learning in computer programming, this study aimed to develop an instrument, Computer Programming Self-Efficacy Scale (CPSES), for all students above middle school levels. Based on Berland and Lee’s computational thinking framework, this study developed the CPSES items at a literacy level and finally the instrument included the five subscales: Logical Thinking, Algorithm

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33

Pavlenko, Maksym, and Tetiana Varava. "Information tools for teaching the basics of programming in high school." Ukrainian Journal of Educational Studies and Information Technology 5, no. 3 (2017): 58–72. http://dx.doi.org/10.32919/uesit.2017.03.06.

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The article focuses on the problem of finding methodological approaches to the use of information programming tools in the course of computer science high school. The definition of information tools for teaching as electronic means of storage, processing and transfer of educational information through computers is set out. The authors, based on the analysis of four existing training programs in computer science 5-9 classes, identified the topics for studying students of the middle classes of programming: "Algorithms and Programs", "Algorithms and their Implementers", "Algorithmization and Prog

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Zhang, Hongxin. "Optimization Strategies for Mathematical Algorithms in Computer Programming." Journal of Big Data and Computing 1, no. 1 (2023): 16–19. http://dx.doi.org/10.62517/jbdc.202301104.

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Computer programming is an important part of computing information technology, mathematical operation is one of the main modules of computer programming, through the optimization of mathematical operation to simple computer programming algorithm, can improve the efficiency of computer software. Therefore, in order to improve the efficiency of computer operation, it is particularly important to optimize the mathematical algorithms. Based on this, this paper studies the optimization strategy of mathematical algorithm in computer programming. Firstly, a brief overview of mathematical algorithm an

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35

Chen, Woei-Kae, and Yu Chin Cheng. "Teaching Object-Oriented Programming Laboratory With Computer Game Programming." IEEE Transactions on Education 50, no. 3 (2007): 197–203. http://dx.doi.org/10.1109/te.2007.900026.

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36

Harada, Yasunori. "Computer Programming Education Using the Visual Programming Language Viscuit." NTT Technical Review 8, no. 11 (2010): 34–38. http://dx.doi.org/10.53829/ntr201011sf6.

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37

Yao, Neng. "The Computer-aided Programming System - A Friendly Programming Environment." IEEE Micro 5, no. 2 (1985): 9–19. http://dx.doi.org/10.1109/mm.1985.304451.

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38

Kaszab, Péter, and Máté Cserép. "Detecting Programming Flaws in Student Submissions with Static Source Code Analysis." Studia Universitatis Babeș-Bolyai Informatica 68, no. 1 (2023): 37–54. http://dx.doi.org/10.24193/subbi.2023.1.03.

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"Static code analyzer tools can detect several programming mistakes, that would lead to run-time errors. Such tools can also detect violations of the conventions and guidelines of the given programming language. Thus, the feedback provided by these tools can be valuable for both students and instructors in computer science education. In our paper, we evaluated over 5000 student submissions from the last two years written in C++ and C# programming languages at Eotvos Lorand University Faculty of Informatics (Budapest, Hungary), by executing various static code analyzers on them. From the findin

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Bravo, Crescencio, Maria Marcelino, Anabela Gomes, Micaela Esteves, and Antonio Mendes. "Integrating Educational Tools for Collaborative Computer Programming Learning." JUCS - Journal of Universal Computer Science 11, no. (9) (2005): 1505–17. https://doi.org/10.3217/jucs-011-09-1505.

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Computer Programming learning is a difficult process. Experience has demonstrated that many students find it difficult to use programming languages to write programs that solve problems. In this paper we describe several educational computer tools used successfully to support Programming learning and we present a global environment which integrates them, allowing a broader approach to Programming teaching and learning. This environment uses program animation and the Computer-Supported Collaborative Learning (CSCL) paradigm.

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40

Shiau, Liejune. "Exploring Quasi-Concurrency in Introductory Computer Science." Journal of Educational Computing Research 15, no. 1 (1996): 53–66. http://dx.doi.org/10.2190/7ldf-va2r-vk66-qq8d.

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Most programming courses taught today are focused on managing batch-oriented problems. It is primarily because parallel computers are not commonly available, therefore problems with concurrent nature could not be explored. This consequence, at the same time, causes student's under preparation to meet the challenge of modern multi-process computation technologies. This article demonstrates an easy solution for implementing concurrent programming projects in computer labs. This solution does not require special hardware support or special programming languages. The goal is to facilitate a means

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O. Osho, Lauretta, Francisca Ogwueleka, and Oluwafemi Osho. "Axiomatic Basis for Computer Programming." Universal Journal of Computational Mathematics 1, no. 3 (2013): 67–72. http://dx.doi.org/10.13189/ujcmj.2013.010301.

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42

Novaes, Luiza, and João Bonelli. "Teaching Computer Programming for Designers." Design Principles and Practices: An International Journal—Annual Review 9, no. 1 (2016): 1–13. http://dx.doi.org/10.18848/1833-1874/cgp/1-13.

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Prichard, Mary Kim. "Mathematical Iteration through Computer Programming." Mathematics Teacher 86, no. 2 (1993): 150–56. http://dx.doi.org/10.5951/mt.86.2.0150.

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Mathematical iteration is a process for generating a sequence in which one or more initial terms are given and each subsequent term is determined from its predecessors in the same way. An equation that describes the relationship between a term and its predecessors is called a recurrence relation. Arithmetic and geometric sequences, common topics in high school algebra courses, are examples of iterative processes. Arithmetic sequences are generated iteratively from an initial term, a1, a common difference, d, and a recurrence relation, an+1, = an+ d. Geometric sequences are generated from an in

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Powell, Norman, David Moore, John Gray, Janet Finlay, and John Reaney. "Dyslexia and learning computer programming." ACM SIGCSE Bulletin 36, no. 3 (2004): 242. http://dx.doi.org/10.1145/1026487.1008072.

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Hillis, W. Daniel, and Joshua Barnes. "Programming a highly parallel computer." Nature 326, no. 6108 (1987): 27–30. http://dx.doi.org/10.1038/326027a0.

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Kaufman, J. "Technical writing and computer programming." IEEE Transactions on Professional Communication 31, no. 4 (1988): 171–74. http://dx.doi.org/10.1109/47.9219.

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Papatriantafyllou, Maria. "Computer programming with mammalian cells." Nature Reviews Molecular Cell Biology 13, no. 7 (2012): 408. http://dx.doi.org/10.1038/nrm3389.

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Mole, Richard. "Computer programming for management students." British Journal of Educational Technology 19, no. 3 (1988): 164–71. http://dx.doi.org/10.1111/j.1467-8535.1988.tb00010.x.

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Jansson, Lars C., Harvey D. Williams, and Robert J. Collens. "Computer Programming and Logical Reasoning." School Science and Mathematics 87, no. 5 (1987): 371–79. http://dx.doi.org/10.1111/j.1949-8594.1987.tb11722.x.

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Lockard, James. "Computer Programming in the Schools:." Computers in the Schools 2, no. 4 (1986): 105–14. http://dx.doi.org/10.1300/j025v02n04_14.

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