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Journal articles on the topic 'Computer'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

AKL, SELIM G. "THREE COUNTEREXAMPLES TO DISPEL THE MYTH OF THE UNIVERSAL COMPUTER." Parallel Processing Letters 16, no. 03 (September 2006): 381–403. http://dx.doi.org/10.1142/s012962640600271x.

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It is shown that the concept of a Universal Computer cannot be realized. Specifically, instances of a computable function [Formula: see text] are exhibited that cannot be computed on any machine [Formula: see text] that is capable of only a finite and fixed number of operations per step. This remains true even if the machine [Formula: see text] is endowed with an infinite memory and the ability to communicate with the outside world while it is attempting to compute [Formula: see text]. It also remains true if, in addition, [Formula: see text] is given an indefinite amount of time to compute [Formula: see text]. This result applies not only to idealized models of computation, such as the Turing Machine and the like, but also to all known general-purpose computers, including existing conventional computers (both sequential and parallel), as well as contemplated unconventional ones such as biological and quantum computers. Even accelerating machines (that is, machines that increase their speed at every step) cannot be universal.

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2

Zheng, Lei, Ying Huang, Dong Liu, and Wei Yan Xing. "A Reliability Simulation Method for On-Board Computer." Applied Mechanics and Materials 380-384 (August 2013): 3350–53. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3350.

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As high reliable equipment, on-board computer often has difficulties to evaluate its reliability. The paper put forward a simulation method to compute on-board computers reliability. The method uses a forced transition (FT) based reliability simulation model to deal with the on-board computers that have complex structure and diversiform characteristic parameters. The model is particularly suitable for the on-board computers which are composed of the components whose failure processes obey tub life curve. As an example, a prototype on-board computer was put forward and simulated using the model. The presented reliability simulation model can be adopted for the on-board computer probability risk assessment where analytic methods or exact solutions cannot be easily reached.

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3

Vannier, Michael W. "Computers in Computer Axial Tomography." Computers in Physics 2, no. 5 (1988): 39. http://dx.doi.org/10.1063/1.4822775.

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4

Proctor, Romina M., and Paul C. Burnett. "Computer Attitude and Classroom Computers." Computers in the Schools 12, no. 3 (November 22, 1996): 33–41. http://dx.doi.org/10.1300/j025v12n03_05.

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5

SEA, C. "Computer ignorance or ignorant computers?" Annals of Emergency Medicine 15, no. 10 (October 1986): 1238–39. http://dx.doi.org/10.1016/s0196-0644(86)80877-0.

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6

Kirkland, Will. "Computers and Translation: Computer Dictionaries." Translation Review 42-43, no. 1 (September 1993): 61–63. http://dx.doi.org/10.1080/07374836.1993.10523611.

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7

Marcoulides, George A. "The Relationship between Computer Anxiety and Computer Achievement." Journal of Educational Computing Research 4, no. 2 (May 1988): 151–58. http://dx.doi.org/10.2190/j5n4-24hk-567v-at6e.

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Computers are rapidly being introduced into virtually every work setting. The ability to use computers, therefore, has become a crucial component in the educational process. Computer anxiety, however, may influence student abilities to master computer skills and consequently affect the degree to which computers can effectively be utilized. This study investigates the possible effects of computer anxiety on student achievement in computer skills. The results suggest that computer anxiety is an important predictor of computer achievement. Educational systems that seek to prepare students in the field of computer applications must, therefore, become particularly concerned with creating less stressful environments.

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8

Rachappa, Halkar. "Studying the Concept of Quantum Computing and Analysis of Its Components, Benefits and Challenges." International Journal on Recent and Innovation Trends in Computing and Communication 8, no. 11 (November 30, 2020): 17–22. http://dx.doi.org/10.17762/ijritcc.v8i11.5517.

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This paper will discuss about the use of quantum computing in the computer engineering field to make computers reliable and fast to perform various typical computations. It is the process of using concept of quantum theory in computing algorithms and other computations and calculations along with the use of computer systems. The computer system always understands the binary language of bits and bytes or in other words we can say that everything which is computed using computers should be first converted into stream of 0’s and 1’s so that computer can understand and then perform the calculations. This will restrict the scope of certain calculations for the computers. Scientists and engineers have come together to implement the quantum computing along with computers and due to this they are able to make calculations which were not possible before its introduction. The quantum theory uses bits and qubits of quantum theory and allows them to be available in more than one state and make possible various typical calculations easy and fast. The paper will explain various types of quantum computing techniques and how they are useful for the organisations. The benefits and challenges of the quantum computing in the field of computer systems will also be discussed.

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9

Nykodym, Nick, Jack L. Simonetti, and Joseph C. Christen. "Compustress: The Fear Of Computer Usage Among College Of Business Administration Students." Journal of Applied Business Research (JABR) 4, no. 4 (October 26, 2011): 84. http://dx.doi.org/10.19030/jabr.v4i4.6397.

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This study explores the area of computer apprehension among College of Business Administration students at a Midwestern university. The fear of computer usage has been termed Cyberphobia, Computer Apprehension, Computerphobia, Computer Anxiety, Computer Vertigo and Terminal Anxiety The authors have coined the word: Compustress. A review of the literature revealed that little has been published on this subject A variety of anecdotal data are provided by a number of authors. These brief data are explored. It was noted that business students may experience terminal shock when they are appraised of the widespread use of computers in their field. Data were collected from College of Business Administration majors on level of computer apprehension, number of hours of computer usage and number of hours of computer training. Results indicate that the higher the number of hours of computer usage and training, the lower the compute apprehension.

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10

Indusi, Joan. "Creating a Purchase Order: Using Spreadsheets." Mathematics Teaching in the Middle School 2, no. 6 (May 1997): 404–7. http://dx.doi.org/10.5951/mtms.2.6.0404.

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Computers have become such important and useful tools in our lives that we sometimes take them for granted. They can handle large amounts of data quickly and accurately, provide easy retrieval of information, compute the results of complex formulas and equations, allow fast and easy editing-and on and on. Young people today are growing up in a world that is becoming more dependent on computers. A familiarity with computer use, an ability to be an independent learner on the computer, and a recognition of the strengths and limitations of computers will be increasingly necessary for students as they enter college and the workplace. How can we as teachers apply this resource in our classrooms?

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11

Chen, Sifei. "Application of Computer Science Technology in Computer Education." Journal of Education and Culture Studies 8, no. 1 (February 19, 2024): p65. http://dx.doi.org/10.22158/jecs.v8n1p65.

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The arrival of the era of big data, making the computer in all walks of life are widely used in the teaching process is also inseparable from the application of computers, some of the traditional teaching methods have also been replaced by computer technology, computer teaching has become the mainstream of the times, and has become a very effective means of teaching as well as teaching tools. The application and popularization of computers has brought great convenience to people's daily life, and has a great effect on the improvement of teaching quality. In the process of computer popularization, it is widely used in real life. And the computer as an education and learning tools, for computer education itself has great significance. In assisting teachers in the management of teaching and practical work at the same time, but also to provide students with richer learning resources and learning efficiency, so that the teaching and learning process is more concise and easy. The arrival of the era of big data, making the computer in all walks of life are widely used in the teaching process is also inseparable from the application of computers, some of the traditional teaching methods have also been replaced by computer technology, computerized teaching has become the mainstream of the times, and has become a very effective means of teaching as well as the teaching tools of the times. The application and popularization of computers has brought great convenience to people's daily life, and has a great effect on the improvement of teaching quality. Especially in the cultivation of talents in colleges and universities, the application of computers can have a great role in promoting the cultivation of innovation ability of college students. This article briefly analyzes the application of computer science and technology in computer education, starting from computer science and technology.

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12

Ferres-López, Enrique, Eugenio Roanes-Lozano, Angélica Martínez-Zarzuelo, and Fernando Sánchez. "One-sided differentiability: a challenge for computer algebra systems." Electronic Research Archive 31, no. 3 (2023): 1737–68. http://dx.doi.org/10.3934/era.2023090.

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<abstract><p>Computer Algebra Systems (CASs) are extremely powerful and widely used digital tools. Focusing on differentiation, CASs include a command that computes the derivative of functions in one variable (and also the partial derivative of functions in several variables). We will focus in this article on real-valued functions of one real variable. Since CASs usually compute the derivative of real-valued functions as a whole, the value of the computed derivative at points where the left derivative and the right derivative are different (that we will call conflicting points) should be something like "undefined", although this isn't always the case: the output could strongly differ depending on the chosen CAS. We have analysed and compared in this article how some well-known CASs behave when addressing differentiation at the conflicting points of five different functions chosen by the authors. Finally, the ability for calculating one-sided limits of CASs allows to directly compute the result in these cumbersome cases using the formal definition of one-sided derivative, which we have also analysed and compared for the selected CASs. Regarding teaching, this is an important issue, as it is a topic of Secondary Education and nowadays the use of CASs as an auxiliary digital tool for teaching mathematics is very common.</p></abstract>

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13

Chakraborty, Pinaki. "Computer, Computer Science, and Computational Thinking: Relationship between the Three Concepts." Human Behavior and Emerging Technologies 2024 (March 28, 2024): 1–6. http://dx.doi.org/10.1155/2024/5044787.

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Digital computers were invented in the 1940s. They are sophisticated and versatile machines whose functioning is grounded in elaborate theory. Advances in theory and the availability of computers helped computer science to develop as an academic discipline, and university departments for the same started coming up in the 1960s. Computer science covers all phenomenon related to computers and consists primarily of man-made laws governing building, programming, and using computers. Computational thinking is a way of thinking influenced by computers and computer science. There are two schools of thought on computational thinking. The first school sees computational thinking as the use of computers to explore the world, while the other sees computational thinking as the application of concepts from computer science to solve real-world problems. Scholars typically agree that computational thinking has four essential components, viz., abstraction, decomposition, algorithm design, and generalization. Computational thinking is often feted by computer scientists as a useful skill that can be used by anybody anywhere. However, it is necessary to find out ways for successfully using computational thinking in domains other than computer science before it can be declared a universal skill.

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14

Yagou, Artemis. "Grafică făra Computer (Graphics without Computers)." Design Journal 18, no. 4 (October 2, 2015): 613–20. http://dx.doi.org/10.1080/14606925.2015.1109213.

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15

Sacks, Colin H., Yolanda Bellisimo, and John Mergendoller. "Attitudes Toward Computers and Computer Use." Journal of Research on Computing in Education 26, no. 2 (December 1993): 256–69. http://dx.doi.org/10.1080/08886504.1993.10782090.

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16

Bulling, Andreas, and Kai Kunze. "Eyewear computers for human-computer interaction." Interactions 23, no. 3 (April 26, 2016): 70–73. http://dx.doi.org/10.1145/2912886.

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17

Ekis, J. W. "Personal computer based computed tomography system." NDT & E International 27, no. 2 (April 1994): 101. http://dx.doi.org/10.1016/0963-8695(94)90322-0.

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Ekis, J. W. "Personal computer based computed tomography system." NDT & E International 27, no. 2 (April 1994): 103. http://dx.doi.org/10.1016/0963-8695(94)90336-0.

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19

Hyman, William A. "Medical Devices, Computers, and Computer Networks." Biomedical Safety & Standards 39, no. 1 (January 2009): 1–4. http://dx.doi.org/10.1097/01.bmsas.0000342710.32111.54.

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20

Dorfman, Raul. "Computers and computer education in Argentina." ACM SIGCUE Outlook 20, no. 2 (June 1989): 15–17. http://dx.doi.org/10.1145/382145.382958.

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21

Chen, Xiangxi, Jacob Huang, and Eddie Loh. "Computer generated holograms using personal computers." Optics and Lasers in Engineering 7, no. 2 (January 1986): 83–90. http://dx.doi.org/10.1016/0143-8166(86)90008-4.

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22

Dyck, Jennifer L., and Janan Al-Awar Smither. "Age Differences in Computer Anxiety: The Role of Computer Experience, Gender and Education." Journal of Educational Computing Research 10, no. 3 (April 1994): 239–48. http://dx.doi.org/10.2190/e79u-vcrc-el4e-hryv.

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Research in the area of computer anxiety has traditionally concentrated on the younger adult. In this study older adults (55 years and over) were compared to younger adults (30 years and under) on levels of computer anxiety and computer experience. Subjects completed a demographic and computer experience questionnaire, a computer anxiety scale, and a computer attitude scale. Findings indicated that older adults were less computer anxious (as measured by both scales), had more positive attitudes toward computers, and had more liking for computers than younger adults. Older adults also had less computer experience than younger adults. In contrast, however, older subjects indicated less computer confidence than younger subjects. Additionally, for both younger and older adults, higher levels of computer experience were associated with lower levels of computer anxiety, and a more positive attitude toward computers. No gender differences were found for computer anxiety or computer attitudes when computer experience was controlled.

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23

Dugdale, Sharon, Elyon Dekoven, and Mi-Kyung Ju. "Computer Course Enrollment, Home Computer Access, and Gender: Relationships to High School Students' Success with Computer Spreadsheet Use for Problem Solving in Pre-Algebra." Journal of Educational Computing Research 18, no. 1 (January 1998): 49–62. http://dx.doi.org/10.2190/6uak-j8h1-5d49-jpac.

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The increasing use of computer technology in schools has brought with it concerns about equity of access to this new resource. Research has documented gender, social class, and racial inequalities in access to computers, and has linked computer access and experience to success in computer-related courses. This study examined the effects of home computer access and computer course enrollment on mathematically weak high school students' success in applying computers as a learning resource in a pre-algebra course. The course featured regular use of teacher-designed spreadsheet activities that engaged students in mathematical investigation and problem solving. Enrollment in a computer course was a significant predictor of success during students' early experiences in applying computers for mathematical problem solving. Home computer access was related to initial success for females, and the advantage of enrollment in a computer course was greater for females who had access to home computers than for those who did not. These initial advantages diminished with continued use of computers in the curricular context.

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24

Ballance, Collin T., and Vickie V. Ballance. "Psychology of Computer Use: XXVI. Computer-Related Stress and In-Class Computer Usage." Psychological Reports 71, no. 1 (August 1992): 172–74. http://dx.doi.org/10.2466/pr0.1992.71.1.172.

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Two-year college students receiving three different levels of class-based computer experiences were surveyed using Hudiburg's Computer Technology Hassles Scale. Although their academic work involved widely different types of work with computers, all groups ( ns = 23, 32, and 24) appeared to perceive the same interactions with computers as unpleasant. The students selected unpleasant interactions in the same numbers and with the same intensity.

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25

Levin, Tamar, and Claire Gordon. "Effect of Gender and Computer Experience on Attitudes toward Computers." Journal of Educational Computing Research 5, no. 1 (February 1989): 69–88. http://dx.doi.org/10.2190/vepg-500c-2awm-1k15.

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The purpose of this study was to determine the extent to which gender and prior computer exposure (has a computer at home; participated in a computer course; knows how to work with computers) affect students' attitudes toward computers prior to computer instruction in school. An attitude questionnaire including cognitive and affective attitude scales was administered to 222 Israeli pupils in grades 8 through 10 who study in schools where computers have not yet been introduced. The results showed that prior computer exposure (in particular, having a computer at home), had a stronger effect on attitudes toward computers than sex. Pupils owning computers were more motivated to become familiar with computers; felt a stronger need for computers in their lives and had more positive affective attitudes toward computers than pupils who don't have computers at home. Sex differences in affective and cognitive attitudes were also observed where boys had significantly more positive affective attitudes toward computers than girls. They perceived computers as being more “enjoyable,” “special,” “important,” “friendly,” and “cheaper” than girls. Furthermore, boys tended to hold more stereotyped attitudes about who is capable of using computers and had more positive attitudes toward the computer as a medium of instruction than girls.

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PREVE, NIKOLAOS P., and EMMANUEL N. PROTONOTARIOS. "MONTE CARLO SIMULATION ON COMPUTATIONAL FINANCE FOR GRID COMPUTING." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 03 (May 17, 2012): 1250010. http://dx.doi.org/10.1142/s1793962312500109.

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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating complex systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is infeasible or impossible to compute an exact result with a deterministic algorithm. In finance, Monte Carlo simulation method is used to calculate the value of companies, to evaluate economic investments and financial derivatives. On the other hand, Grid Computing applies heterogeneous computer resources of many geographically disperse computers in a network in order to solve a single problem that requires a great number of computer processing cycles or access to large amounts of data. In this paper, we have developed a simulation based on Monte Carlo method which is applied on grid computing in order to predict through complex calculations the future trends in stock prices.

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27

Jones, Paul E., and Robert E. Wall. "Components of Computer Anxiety." Journal of Educational Technology Systems 18, no. 2 (December 1989): 161–68. http://dx.doi.org/10.2190/g96k-jgjt-1f30-w6wb.

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This descriptive study employed a multi-group, pre-post design. Analyses were employed to answer the following questions: 1) As a result of the course, “Computers in Society,” are there reductions in students' computer anxiety scores? 2) Is course performance, as indicated by course grades, related to pre and post anxiety scores? 3) Does the amount of experience with computers relate to computer anxiety scores? 4) Are age and/or sex related to computer anxiety scores? Results indicated that computer experience, as indicated by the number of computer courses, is associated with reductions in computer anxiety. Age was significantly related to computer anxiety but a significant relationship between gender and computer anxiety was not found. Also, no significant relationship was found between anxiety and students' academic achievement in the computer course as measured by their course grades.

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28

Zhang, Yixin, and Sue Espinoza. "Affiliations of Computer Self-Efficacy and Attitudes with Need for Learning Computer Skills." Journal of Educational Computing Research 17, no. 4 (December 1997): 371–83. http://dx.doi.org/10.2190/3gny-apr6-51q8-402n.

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This study investigated relationships concerning computer efficacy, attitudes toward computers, and need for learning computer skills. A total of 296 undergraduate students from a regional state university participated in this study in 1996. Three research questions were measured by Attitudes toward Computer Technologies and Confidence and Desired Knowledge with Computer Technologies. Statistical analyses consisted of simultaneous multiple regression, ANOVA and Tukey's HSD. ANOVA revealed that students from computer classes had more need for learning computing skills than students from a non-computer class. Multiple regression revealed that attitudes toward computers, and computer self-efficacy, were significant predictors of the need for learning computing skills between two groups of students, although students from computer classes demanded a higher level of computing skills than those from a non-computer class.

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29

Wahidah. "COMPUTER LITERACY AMONG IAIN LHOKSEUMAWE STUDENTS." JL3T ( Journal of Linguistics Literature and Language Teaching) 4, no. 1 (December 31, 2018): 28–42. http://dx.doi.org/10.32505/jl3t.v4i1.749.

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Having certain level in computer literacy is very important to educational setting for students. They should have skill and positive attitudes toward computer to achieve effective teaching and learning process. This study aimedto measure the computing skills, knowledge of IAIN Malikussaleh students about computers, also their attitude toward computers. It is also to determine whether students’ characteristics such as field of study, duration of students’ exposure to computers have significant influence on their computer literacy. From the computation it can be seen that the level of IAIN Malikussaleh students’’ computer skills applied was 4.306 of mean from the highest score of 5 with standard deviation 0.82624 in general. This number indicated that IAIN Malikussaleh students’’ level of computer skill is above average. English and Arabic department students possess quite similar ability or skill in term of computer literacy.The most notable result of this result is the respondents’ attitude toward computer. The respondents who possess good computer skills should have positive attitude toward computer. However, the IAIN Malikussaleh students’ attitude toward computer is average.

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30

Abbate, Janet. ""People and Computers" at the Computer Museum." Technology and Culture 34, no. 3 (July 1993): 665. http://dx.doi.org/10.2307/3106716.

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31

Sibbald, K. E. "Computer-aided design/drafting on personal computers." Proceedings of the IEEE 73, no. 12 (1985): 1807–16. http://dx.doi.org/10.1109/proc.1985.13372.

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32

Scown, Philip J. A., and Barbara McManus. "Educating computer people about people & computers." ACM SIGCHI Bulletin 28, no. 2 (April 1996): 28–31. http://dx.doi.org/10.1145/226650.226661.

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33

Matsukata, J. "Computer networking for large computers in Universities." ACM SIGCOMM Computer Communication Review 17, no. 5 (October 1987): 78–87. http://dx.doi.org/10.1145/55483.55492.

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34

Barron, D. W. "Two cultures: computer science and personal computers." Endeavour 13, no. 1 (January 1989): 25–28. http://dx.doi.org/10.1016/0160-9327(89)90047-1.

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35

GOTO, Eiji. "Using Computers and Computer Networks in U.S.A." Journal of Agricultural Meteorology 50, no. 2 (1994): 135–39. http://dx.doi.org/10.2480/agrmet.50.135.

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36

van Ginneken, B. "Computer-Aided Diagnosis in Thoracic Computed Tomography." Imaging Decisions MRI 12, no. 3 (September 2008): 11–22. http://dx.doi.org/10.1111/j.1617-0830.2009.00129.x.

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37

Xu Duan-Zheng and Shi Jun. "Computers: Computer analysis of the sequential trial." Trends in Pharmacological Sciences 7 (January 1986): 258–59. http://dx.doi.org/10.1016/0165-6147(86)90343-3.

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38

Albert Friedman, B. "Computers III: Selecting a museum computer system." Museum Management and Curatorship 7, no. 3 (September 1988): 293–97. http://dx.doi.org/10.1016/0260-4779(88)90039-8.

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39

Abbate, Janet. "“People and Computers” at the Computer Museum." Technology and Culture 34, no. 3 (July 1993): 665–69. http://dx.doi.org/10.1353/tech.1993.0057.

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40

Qin, Peng. "Analysis of a Model for Computer Virus Transmission." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/720696.

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Computer viruses remain a significant threat to computer networks. In this paper, the incorporation of new computers to the network and the removing of old computers from the network are considered. Meanwhile, the computers are equipped with antivirus software on the computer network. The computer virus model is established. Through the analysis of the model, disease-free and endemic equilibrium points are calculated. The stability conditions of the equilibria are derived. To illustrate our theoretical analysis, some numerical simulations are also included. The results provide a theoretical basis to control the spread of computer virus.

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41

Arici, Ismet. "The Relationship Between the Music Teacher Candidates’ Computer-Assisted Teaching Attitudes and Exam Anxiety in Computer Literacy." Journal of Education and Training Studies 6, no. 11 (October 17, 2018): 215. http://dx.doi.org/10.11114/jets.v6i11.3696.

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Today, improving instructional technologies have increased at a significant pace particularly with the introduction of computers in education. Computers have contributed greatly to every field of education. Computers have supported the preparation of powerful audio-visual materials with multiple-media features and have also empowered the education sector with the software options intended for different fields. Consequently; computer-assisted education (CAE) has come into its own.As the use of computers has become widespread and computers have found an important place in education, attitudes about computer-assisted education have become important, as well. Particularly the empowerment of the attitudes of teacher candidates, as the educators of the future, toward computer-assisted education, is a significant gain for education.Computer literacy lessons provided for in education faculties are significant in that they may help teacher candidates to prepare computer-assisted education materials and to use computers effectively in education process.Finding out whether the attitudes toward computer-assisted education have positive impact on exam anxiety in computer lessons, analysing the factors which determine the attitudes, and understanding the reasons for anxiety will be useful in carrying out new researchers in order to make significant contributions to education processes.This research included 46 teacher candidates studying Computer-Assisted Music Teaching in the Department of Music Teaching Education at Marmara University. The students completed the exam anxiety inventory and CAE attitude scale prior to administration of the computer-assisted music education exam. The results of the research indicated a significant negative relationship between the students’ CAE attitude levels and their anxiety levels. Findings of the scales showed that, CAE attitudes were high and anxiety levels were low. Findings of the study indicated that the computer education they received contributed positively to their computer experiences and their attitudes towards CAE.

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Finch, Emma, and Anne J. Hill. "Computer use by People with Aphasia: A Survey Investigation." Brain Impairment 15, no. 2 (September 2014): 107–19. http://dx.doi.org/10.1017/brimp.2014.17.

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Computers are encountered increasingly in the clinical setting, including during aphasia rehabilitation. However, currently we do not know what people with aphasia think about using computers in therapy and daily life, or to what extent people with aphasia use computers in their everyday life. The present study explored: (1) the use of computers by people with aphasia; and (2) the perceptions of people with aphasia towards computers and computer-based therapy. Thirty-four people with aphasia completed an aphasia-friendly paper-based survey about their use of computers before and after the onset of their aphasia, and their attitudes towards computer-based aphasia therapy. There was a high level of computer usage by people with aphasia both before and after the onset of their aphasia. However, the nature of the computer use changed following aphasia onset, with a move away from work-based usage. The majority of the cohort used computers for aphasia therapy and liked using computer-based aphasia therapy, provided that the programs were perceived as appropriate for their individual needs. The results highlight the importance of exposing people with aphasia to computer-based aphasia therapy in a supported clinical environment, and the need to ensure that computer-based therapy is individualised for each client. It should be noted, however, that while the majority of participants reported positive experiences with using computers, this does not mean that the computer-based therapy software used was necessarily an effective treatment for aphasia.

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43

Dyck, Jennifer L., and Janan Al-Awar Smither. "Computer Anxiety and the Older Adult: Relationships with Computer Experience, Gender, Education and Age." Proceedings of the Human Factors Society Annual Meeting 36, no. 2 (October 1992): 185–89. http://dx.doi.org/10.1177/154193129203600210.

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Research in the area of computer anxiety has traditionally concentrated on the younger adult. In this study older adults (55 years and over) were compared to younger adults (30 years and under) on levels of computer anxiety and computer experience. Subjects in the study completed a demographic and computer experience questionnaire, and two computer anxiety scales. Previous research findings indicating a negative relationship between computer anxiety and computer experience was replicated for both young and older adults. Additional findings indicated that older adults were less computer anxious and had less computer experience than younger adults. Furthermore, older subjects indicated more liking for computers than younger subjects. However, while young males liked computers more than young females, no differences between older males and older females were found on the computer liking subscale. Some discrepancies between the two computer anxiety scales suggest further research is needed to validate computer anxiety scales for use with older adults.

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Rochman, Mawa Faqu, and Z. I. Rahmat. "Android Based Online Computer Technician Application." International Journal of Research and Applied Technology 3, no. 1 (June 1, 2023): 41–50. http://dx.doi.org/10.34010/injuratech.v3i1.9873.

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This study aims to analyze the role of the Android-based Online Computer Technician. This study uses a quantitative description. An online Computer Technician application is to make it easier for customer actors to seek online computer technician services to repair damaged computers and provide convenience for users. The results of the study previously showed that computer users repairing computers by approaching technicians directly to offline stores and transforming into technicians approaching computer users' homes became a good solution. Using an Online Computer Technician Application can make it easier for computer users and not waste time, so they can optimize time properly and correctly.

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Ballance, Collin T., and Vickie V. Ballance. "Psychology of Computer Use: XXXVII. Computer-Related Stress and Amount of Computer Experience." Psychological Reports 78, no. 3 (June 1996): 968–70. http://dx.doi.org/10.2466/pr0.1996.78.3.968.

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57 college students were surveyed using Hudiburg's revised Computer Technology Hassles Scale. From additional information, groups with various amounts of experience were formed. Comparison suggests that computer-related stress is not simply a by-product of increased interaction with computers.

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Lu, Jingcheng, Ziwen Sun, and Xiaole Yu. "Analysis of Differences Across Types of Interior Parts of Computer and Computer Price." Highlights in Business, Economics and Management 15 (June 28, 2023): 225–32. http://dx.doi.org/10.54097/hbem.v15i.9398.

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The enhancement of digital computers takes an active part in promoting the development of different aspects of the world. In the meantime, interior parts of computers are also rapidly enhanced and refined. Various combinations of inner parts of a computer would play a decisive factor in the cost so the aim of this article would discuss the relationship between the performance parameters of computers and the prices. This article divides the performance parameters of computers into nine aspects, such as speed, RAM size, etc., With an emphasis on the connection between the price of the computer and its performance parameters. This article employs a multiple linear regression and a logistic regression model to estimate the pricing using computer configuration parameters. The MSE, AIC and other parameters are established to measure the goodness of fit for models. In order to forecast prices for computers with certain performance specifications, an optimal model is finally developed.

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Kumar, Sanjeev, R. Bansal, A. Khare, KPS Malik, VK Malik, K. Jain, and C. Jain. "Conjunctival impression cytology in computer users." Nepalese Journal of Ophthalmology 5, no. 1 (March 25, 2013): 33–37. http://dx.doi.org/10.3126/nepjoph.v5i1.7819.

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Introduction:It is known that the computer users develop the features of dry eye. Objective: To study the cytological changes in the conjunctiva using conjunctival impression cytology in computer users and a control group. Materials and methods: Fifteen eyes of computer users who had used computers for more than one year and ten eyes of an age-and-sex matched control group (those who had not used computers) were studied by conjunctival impression cytology. Results: Conjunctival impression cytology (CIC) results in the control group were of stage 0 and stage I while the computer user group showed CIC results between stages II to stage IV. Among the computer users, the majority ( > 90 %) showed stage III and stage IV changes. Conclusion: We found that those who used computers daily for long hours developed more CIC changes than those who worked at the computer for a shorter daily duration. Nepal J Ophthalmol 2013; 5(9):33-37 DOI: http://dx.doi.org/10.3126/nepjoph.v5i1.7819

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Teo, Timothy. "Perceived Importance, Enjoyment, and Anxiety as Correlates of Computer Attitudes." Psychological Reports 100, no. 1 (February 2007): 127–35. http://dx.doi.org/10.2466/pr0.100.1.127-135.

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A sample of 138 students was assessed for their computer attitudes using a Likert-type questionnaire with three subscales: Computer Importance, Computer Enjoyment, and Computer Anxiety. An overall positive attitude towards computers was found. Multivariate analysis of variance revealed no significant differences in computer attitudes by gender although male students reported more positive attitudes towards computers than female students. Implications for educators include managing the perceptions of students that the computers are useful for learning purposes, in addition to using them for leisure and entertainment.

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Sullivan, Patricia. "What Computer Experience to Expect of Technical Writing Students Entering a Computer Classroom: The Case of Purdue Students." Journal of Technical Writing and Communication 19, no. 1 (January 1989): 53–68. http://dx.doi.org/10.2190/fexh-hpl3-p8tk-18gw.

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Computers in technical writing classes are growing in popularity because professionals increasingly use computers for writing reports and because the computer can aid in producing more visually sophisticated documents. Yet, we do not know what computer experience students bring with them to the computer classroom, a lack of knowledge that makes the task of integrating the computers into the classroom more cumbersome. This article presents the results of a survey of Purdue University students' knowledge of, use of, and attitudes toward computers as they enter the technical writing class. It contrasts the technical students with upper division humanities students and draws conclusions about the documentation requirements and the appropriate computer use goals for the Purdue students surveyed. Finally, suggestions are made about how to use a survey of this type.

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Okebukola, Peter Akinsola, Willem Sumampouw, and Olugbemiro J. Jegede. "The Experience Factor in Computer Anxiety and Interest." Journal of Educational Technology Systems 20, no. 3 (March 1992): 221–29. http://dx.doi.org/10.2190/hvkf-hwh2-9239-hb4j.

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The shift towards a computerized society is stimulating active research in students' expressed computer anxiety and computer interest. This study examined how experience in computer usage influences the manifestation of computer anxiety and computer interest in high school students. Data collected from 426 students in Western Australia showed a clear gradation in the decline of anxiety level with increase in the number of years of experience. The results further showed that irrespective of experience, the subjects had high scores favoring the items “I think a computer can be very interesting” and “If my family had a home computer, I would probably use it more than any one else.” There was a significant difference in the views of the students on such items as “A computer can be a boring companion,” “People managed before without computers, so computers are not really necessary now,” and “People who like computers are not often sociable.” The educational implications of these and other interesting findings of the study are drawn.

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