Relevant bibliographies by topics / Computer influence

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computer influence'

Author: Grafiati
Published: 10 September 2021
Last updated: 17 July 2025

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Journal articles on the topic "Computer influence"

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Shashaani, Lily. "Gender-Differences in Computer Experience and its Influence on Computer Attitudes." Journal of Educational Computing Research 11, no. 4 (1994): 347–67. http://dx.doi.org/10.2190/64md-htkw-pdxv-rd62.

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This study of 902 boys and 828 girls in secondary school shows that gender-differences in computer experience has a direct relationship to computer attitudes. The data analysis supports the hypothesis that male students have more computer experience than female students. This experience is measured by the number of computer classes attended, the amount of computer usage, and having access to a home computer. Boys showed more positive attitudes toward computers than girls. The number of classes students attended, and the amount of computer usage was positively related to computer interest, computer confidence (for boys), and perceived computer utility. Home computer ownership was not related to computer attitudes. The association between computer attitudes and computer experience was stronger for males than females.
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Marcoulides, George A. "The Relationship between Computer Anxiety and Computer Achievement." Journal of Educational Computing Research 4, no. 2 (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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Rahmah, Lailatur, and Rochmawati Rochmawati. "Pengaruh Fasilitas Laboratorium Akuntansi, Pengantar Akuntansi, dan Computer Knowledge Terhadap Hasil Belajar Komputer Akuntansi Dengan Intensitas Belajar Sebagai Variabel Moderasi." Progress: Jurnal Pendidikan, Akuntansi dan Keuangan 6, no. 2 (2023): 105–21. http://dx.doi.org/10.47080/progress.v6i2.2619.

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This study aimed to analyze learning intensity can moderate the influence of accounting laboratory facilities, introductory understanding of accounting, and computer knowledge on learning outcomes of accounting computers for class XI AKL AKL SMKN 2 Buduran. This type of research is including quantitative research. The samples used were 108 students of class XI AKL SMKN 2 Buduran using saturated sampling. Data collection techniques using questionnaires, interviews, and documentation. The data analysis technique used Structural Equation Model Partial Least Square (SEM PLS) with SmartPLS 3.0 software. The results of the study show that: (1) There is a significant influence of accounting laboratory facilities on the learning outcomes of accounting computers. (2) There is a significant influence of the introductory understanding of accounting on the learning outcomes of accounting computers. (3) There is no significant influence of computer knowledge on the learning outcomes of accounting computers. (4) Learning intensity strengthens the influence of accounting laboratory facilities on the learning outcomes of accounting computers. (5) Learning intensity strengthens the influence of an introductory understanding of accounting on the learning outcomes of accounting computers. (6) Learning intensity weakens the influence of computer knowledge on the learning outcomes of accounting computers.
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Gillan, Douglas J., Bruce S. Fogas, Suzanne Aberasturi, and Shannon Richards. "Cognitive Ability and Computing Experience Influence Interpretation of Computer Metaphors." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 4 (1995): 243–47. http://dx.doi.org/10.1177/154193129503900405.

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Metaphors play a central role in human-computer interaction. Research on general metaphor interpretation has shown that different types of people interpret metaphors differently. The present experiment examined the effects of cognitive ability and computer experience on the interpretation of computer-related metaphors. Subjects completed five cognitive tests, filled out a questionnaire concerning their experience with computers, and interpreted computer metaphor terms. Identification of a term as a metaphor was related to their frequency of computer use and nonverbal cognitive ability. Concreteness of metaphor interpretations decreased with increased knowledge of programming. Abstractness of interpretations increased with frequency of computer use. The discussion focuses on metaphors in the design of user interfaces for novices and experienced users.
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in, Amirudd, Grace T. Pontoh, and Endang Sriningsih. "Determinants of Attitudes of Computer Users: an Approach to the Technology Acceptance Model and Social Cognitive Theory." Webology 18, SI03 (2021): 92–111. http://dx.doi.org/10.14704/web/v18si03/web18022.

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This work desires to observe and analyze (1) the computer anxiety consequence, self-adequacy of technology, perceived playfulness and understood ease of use the approach of using computers; (2) the consequence of computer anxiety, computer self-adequacy, and perceived playfulness, on the attitude of using computers mediated by. This study is a significant research and uses survey methods with data collection techniques using questionnaires and data analyzed using AMOS statistical software. The outcomes demonstrated that (1) computer self-adequacy, perceived playfulness and had a serious influence on the mentality of utilizing computers; (2) computer anxiety doesn’t have a straight influence on the attitude of using a computer; and (3) computer self-efficacy, computer anxiety and perceived playfulness have a serious influence on the potential of using computers across whole variable anticipated usability. This research can give to the development of science and technology with the Technology Acceptance Model and Social Cognitive Theory which theoretically can provide evidence and support for the progress of research in the scope of behavioral accounting, can form a positive attitude of students in the learning process so as to produce outstanding graduates who are able to accept technological developments.
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Keitel, S., C. Ahrens, and H. Moll. "Computer-based technologies and their influence on welding education." Paton Welding Journal 2014, no. 10 (2014): 51–55. http://dx.doi.org/10.15407/tpwj2014.10.10.

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Pritchard, Patricia M., and R. Peter Fynn. "695 (PS 5) INFLUENCE OF COMPUTER-CONTROLLED ENVIRONMENTAL MANAGEMENT ON OHIO GREENHOUSE PRODUCTION." HortScience 28, no. 5 (1993): 551d—551. http://dx.doi.org/10.21273/hortsci.28.5.551d.

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In July 1992 a mail survey was conducted of Ohio greenhouse growers who were using computers to assist them in the management of their greenhouses. The respondents represented 122.5 acres of Ohio's total 530 acres of greenhouse production. Computers had been operational in these greenhouses from 4 to 78 months. Functions delegated to computer control were: temperature, humidity, CO2, DIF, fertilizer, irrigation, shade cloth, and light control. Sixty five percent of the respondents experienced a reduction in labor expenses; 92% expressed satisfaction with their computer system's ability to adapt to a variety of situations; and 100% believed the computer system gave them better control over the greenhouse environment. Additionally, 84% expressed concern about the reduction in registered pesticides for ornamentals. Since installing a computer system, 45% of the respondents experienced a reduction in pesticide useage. As evidenced by the survey results, approximately one quarter of the greenhouse production area in Ohio is being successfully controlled by computers.
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Marmulla, Rüdiger, and Joachim Mühling. "The Influence of Computed Tomography Motion Artifacts on Computer-Assisted Surgery." Journal of Oral and Maxillofacial Surgery 64, no. 3 (2006): 466–70. http://dx.doi.org/10.1016/j.joms.2005.11.019.

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Jay, G. M., and S. L. Willis. "Influence of Direct Computer Experience on Older Adults' Attitudes Toward Computers." Journal of Gerontology 47, no. 4 (1992): P250—P257. http://dx.doi.org/10.1093/geronj/47.4.p250.

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Adewoye, Segun Emmanuel, and Abayomi Oladele Olaseni. "A Systematic Review of Factors that Influences the Efficacy of Computer Based Learning." JETL (Journal of Education, Teaching and Learning) 7, no. 2 (2022): 166. http://dx.doi.org/10.26737/jetl.v7i2.3067.

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Despite emerging evidence from research studies showing positive influence of computer based learning on quality of education and academic achievement of learners, there is very limited research studies that synthesises factors that influence or contributes to the success or effectiveness of computer based learning methods. The purpose of this systematic review was to synthesise factors that influences the efficacy of computer based learning. We followed the protocol from preferred reporting items for systematic reviews and meta-analyses (PRISMA). Major electronic educational databases were searched. In total, 20 studies that met inclusion criteria were reviewed in this study. After completing thematic analysis of the included studies, findings revealed that students’ characteristics factor such as attitudes, self-discipline, prior knowledge of computer use and motivation, also infrastructure factor such as easy access to computer and availability of technology influenced the efficacy of Computer Based Learning. Recommendations from the research reports are discussed.
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Dissertations / Theses on the topic "Computer influence"

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Teasley, Unice H. "Factors that influence competent, computer-using teachers' decisions about computer integration." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1260649028.

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Milutinovic, Goran. "A Comparison of Computer Tools for Influence Diagram Evaluation." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-20641.

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In this study three commonly used computer programs for influence diagram evaluation are compared: Netica, Hugin Expert and PrecisionTree. The programs are analysed with respect to three main issues: how they comply with semantic rules for influence diagrams, how the issue of asymmetric decision problems is handled in each tool, and if and in what way they implement the arc reversal functionality. The results show that i) none of the tools fully complies with the semantic rules for influence diagrams, ii) the tools based on Bayesian nets (Netica, Hugin Expert) handle asymmetric decision problems in a similar way, whereas PrecisionTree implements a unique, efficient way of handling the issue, and iii) two of the three tools, Netica and Hugin Expert,support arc reversal.
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Chan, Cheng Cheng. "The influence of computer-mediated communication on English learning motivation." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2456361.

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Zakharchenko, V. "The influence of computer games development on the people's creativity." Thesis, Видавництво СумДУ, 2012. http://essuir.sumdu.edu.ua/handle/123456789/26074.

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Creativity is regarded as one of the most important skills. It is essential in building a well-rounded personality and tolerant view of the world. Previous researchers and authors denied creativity as a static trait and convincingly acknowledged it as having vast opportunities to be improved. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/26074
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Lautzenheiser, Daniel E. "Measuring the Influence of a User on Twitter." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384426103.

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Temple, Tristan Leigh. "Optical properties of metal nanoparticles and their influence on silicon solar cells." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/66674/.

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The optical properties of metal nanoparticles have been investigated by simulation and experimental techniques. The aim of this investigation was to identify how to use metal nanoparticles to improve light-trapping in silicon solar cells. To do this we require nanoparticles that exhibit a high scattering efficiency and low absorption (i.e. high radiative efficiency) at near-infrared wavelengths. The simulation results identified Ag, Au, Cu and Al as potential candidates for use with silicon solar cells. The optical properties of Ag, Au and Cu nanoparticles are very similar above 700 nm. Below this wavelength Ag was found to be the preferred choice due to a decreased effect from interband transitions in comparison with Au and Cu. Al nanoparticles were found to exhibit markedly different optical properties to identical noble metal nanoparticles, with broader, weaker resonances that can be excited further into the UV. However, Al nanoparticles were found to exhibit higher absorption than noble metals in the NIR due to a weak interband region centred at around 825 nm. Tuning of the resonance position into the NIR was demonstrated by many methods, and extinction peaks exceeding 1200 nm can be achieved by all of the metals studied. However, it is important that the method used to red-shift the extinction peak does not also decrease the radiative efficiency. Core-shell nanoparticles, triangular nanoparticles and platelet-type nanoparticles were found to be unsuitable for silicon solar cells applications due their low radiative efficiencies. Instead, we propose the use of large (> 150 nm) Ag spheroids with moderate aspect ratios. A maximum radiative efficiency of 0.98 was found for noble metal nanospheres when the diameter exceeded 150 nm. The optical properties of Au and Al nanoparticles fabricated by electron-beam lithography were found to be in good agreement with simulations, provided that the substrate and local dielectric environment were accounted for by inclusion of an effective medium in the model. Cr adhesion layers were found to substantially weaken the extinction peaks of Au nanoparticles, and also result in a strong decrease of radiative efficiency. Adhesion layers were not required for Al nanoparticles. The morphological and optical properties of Ag island films were found to be highly dependent on the layer thickness, deposition speed and anneal temperature. Dense arrays containing average particle sizes ranging from 25 nm to 250 nm were achieved using anneal temperatures lower than 200oC. The largest nanoparticles were found to exhibit high extinction from 400 nm to 800 nm. Depositing Ag nanoparticles onto a-Si:H solar cells was found two have two effects on the spectral response. At short wavelengths the QE was decreased due to absorption by small particles or back-scattering by larger particles. At longer wavelengths large maxima and minima are present in the QE spectra. This latter effect is not due to excitation of surface plasmons, but is instead related to modification of interference effects in the thin-film layer stack.
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Rahman, Abdur. "The influence of social identity when digitally sharing location." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/32491/.

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By enabling users to self-report their whereabouts and share it with a vast and diverse audience, location sharing systems can be useful means of projecting the self and expressing one’s social identity (an individual’s personal self-conception). Through three research studies, this thesis investigates how social identity influences the digital sharing of location. It does so by first exploring how people socially interact offline and then investigates how facets of this behaviour are enacted in location sharing systems. Thus, it offers insights into how offline social behaviour extends to digital spaces and how it impacts social interaction in the digital realm. This thesis finds that social identity not only influences digital location sharing, but in systems that enable social networking, is the very driving force behind the phenomenon. Users actively exhibit their identity through their location, using it as a means of communicating moods, emotions, activities, and experiences. Social identity impacts the places likely to be shared and those places, in turn, reflect one’s identity by revealing much about an individual’s personality and lifestyle. This research also discovers that aspects of offline social behaviour have not been replicated particularly well in the online world. Conventional location sharing systems often require users to broadcast their content to one homogenous ‘friends’ list. This model overlooks some of the key components of offline social behaviour such as multi-faceted identities, context-specific behaviour and the heterogeneity of human relationships. This can result in challenges when attempting to manage different facets of identity and can heighten anxieties about sharing as a whole. Recommendations are made on how such issues can be mitigated in future platforms. This thesis has implications for the design of future location sharing systems. By studying human interaction in digital environments, it also contributes to the Human Factors and HCI disciplines.
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Foot, T. "The influence of peer interaction in micro-computer based problem-solving." Thesis, University of Southampton, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374863.

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Bordianu, Gheorghita. "Learning influence probabilities in social networks." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114597.

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Social network analysis is an important cross-disciplinary area of research, with applications in fields such as biology, epidemiology, marketing and even politics. Influence maximization is the problem of finding the set of seed nodes in an information diffusion process that guarantees maximum spread of influence in a social network, given its structure. Most approaches to this problem make two assumptions. First, the global structure of the network is known. Second, influence probabilities between any two nodes are known beforehand, which is rarely the case in practical settings. In this thesis we propose a different approach to the problem of learning those influence probabilities from past data, using only the local structure of the social network. The method is grounded in unsupervised machine learning techniques and is based on a form of hierarchical clustering, allowing us to distinguish between influential and the influenceable nodes. Finally, we provide empirical results using real data extracted from Facebook.<br>L'analyse des réseaux sociaux est un domaine d'études interdisciplinaires qui comprend des applications en biologie, épidémiologie, marketing et même politique. La maximisation de l'influence représente un problème où l'on doit trouver l'ensemble des noeuds de semence dans un processus de diffusion de l'information qui en même temps garantit le maximum de propagation de son influence dans un réseau social avec une structure connue. La plupart des approches à ce genre de problème font appel à deux hypothèses. Premièrement, la structure générale du réseau social est connue. Deuxièmement, les probabilités des influences entre deux noeuds sont connues à l'avance, fait qui n'est d'ailleurs pas valide dans des circonstances pratiques. Dans cette thèse, on propose un procédé différent visant la problème de l'apprentissage de ces probabilités d'influence à partir des données passées, en utilisant seulement la structure locale du réseau social. Le procédé se base sur l'apprentissage automatique sans surveillance et il est relié à une forme de regroupement hiérarchique, ce qui nous permet de faire la distinction entre les noeuds influenceurs et les noeuds influencés. Finalement, on fournit des résultats empiriques en utilisant des données réelles extraites du réseau social Facebook.
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Widlak, Magdalena. "Influence of word sense disambiguation on text classification." Thesis, University of Ottawa (Canada), 2004. http://hdl.handle.net/10393/26808.

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Word sense ambiguity is a pervasive characteristic of natural language. The discrimination of word senses, word sense disambiguation, is considered to be of prime importance for many areas involving computerized language analysis, from machine translation to information retrieval. Text classification, as a growing subfield of information retrieval, is also believed to suffer from the effects of word sense ambiguity. The purpose of this thesis was to evaluate how word sense disambiguation affects text classification. The intuitive hypothesis is that word sense disambiguation aids the task of text classification. In order to evaluate the influence of word sense disambiguation on text classification three different corpora of text documents were disambiguated manually. Classification of both original and corresponding disambiguated data was performed using four different classification systems employing four different learning approaches: decision trees (C5.0), decision rules induction (Ripper), Naive Bayes (Rainbow) and support vector machines (LibSVM). Results obtained from the classification were compared using various evaluation methods. The results do not support the stated hypothesis very strongly. In some cases word sense disambiguation improved the results of text classification, in other cases there was no improvement or the results were worse. The difference in classification results obtained on original and disambiguated data are in most cases insignificant, that is, even though there is a slight difference in average errors, we cannot conclude that this difference is statistically significant. Some general tendencies can be observed when it comes to performance of specific classification systems. We can also infer which of the corpora were "easier" to classify than other.
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Books on the topic "Computer influence"

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Smith, Gary Micheal. The influence of computer graphics within our society. Derbyshire College of Higher Education, 1987.

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Blankensee-Colloquium (2007 : Berlin, Germany), ed. From science to computational sciences: Studies in the history of computing and its influence on today's sciences. Diaphanes, 2011.

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Alex, Jürgen. Zur Entstehung des Computers: Von Alfred Tarski zu Konrad Zuse : zum Einfluss elementarer Sätze der mathematischen Logik bei Alfred Tarski auf die Entstehung der drei Computerkonzepte des Konrad Zuse : tertium non datur. VDI Verlag, 2007.

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Jon, Rokne, Wagner Gerhard, Reuser Arno H. P, and SpringerLink (Online service), eds. The Influence of Technology on Social Network Analysis and Mining. Springer Vienna, 2013.

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Dechow, Douglas R. Intertwingled: The Work and Influence of Ted Nelson. Springer Nature, 2015.

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Wojciech, Penczek, Rozenberg Grzegorz, and Mazurkiewicz Antoni, eds. Half a century of inspirational research: Honoring the scientific influence of Antoni Mazurkiewicz. IOS Press, 2007.

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F, Churchhouse R., and International Commission on Mathematical Instruction., eds. The Influence of computers and informatics on mathematics and its teaching. Cambridge University Press, 1986.

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Michel, Paysant, and Musée d'Unterlinden (Colmar France), eds. Michel Paysant: Revoir Grünewald. Éditions Yellow Now, 2020.

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F, Jesson Alan, Cignoni Mario, and Italy. Ufficio centrale per i beni librari, le istituzioni culturali e l'editoria., eds. La parola che cambia il mondo: La Bibbia dalla stampa al computer (1450-2000). Alleanza biblica universale, 2000.

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F, Jesson Alan, Cignoni Mario, Italy. Ufficio centrale per i beni librari, le istituzioni culturali e l'editoria., and Teatro dei Dioscuri (Rome, Italy), eds. The impact of the word on the world: The Bible from print to computer (1450-2000). United Bible Societies, 2000.

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Book chapters on the topic "Computer influence"

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Raj P. M., Krishna, Ankith Mohan, and K. G. Srinivasa. "Influence Maximisation." In Computer Communications and Networks. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96746-2_9.

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Kidner, Michael. "The Computer: An Intrusive Influence." In Explorations in Art and Technology. Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0197-0_22.

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Kidner, Michael. "The Computer: An Intrusive Influence." In Springer Series on Cultural Computing. Springer London, 2018. http://dx.doi.org/10.1007/978-1-4471-7367-0_8.

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Feferman, Solomon. "Tarski’s Influence on Computer Science." In Studies in Universal Logic. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65430-0_29.

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Madsen, Anders L., and Frank Jensen. "Mixed Influence Diagrams." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45062-7_17.

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Geng, Yihan, Kunyu Wang, Ziqi Liu, Michael Yu, and Jeffrey Xu Yu. "Influence Maximization Revisited." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47843-7_25.

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Francalanci, Chiara, and Ajaz Hussain. "Social Influence and Influencers Analysis: A Visual Perspective." In Communications in Computer and Information Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25936-9_6.

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Lei, WeiHua, Qun Yang, and Huanhuan Wang. "Positive Influence Maximization Algorithm Based on Three Degrees of Influence." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46257-8_54.

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Nielsen, Thomas D. "Decomposition of Influence Diagrams." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44652-4_14.

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Peleg, D. "Immunity against Local Influence." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45321-2_8.

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Conference papers on the topic "Computer influence"

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Symbiosis, Aditi Rajput, and Aradhana Gandhi. "Finfluencer: Exploring the Untapped Influence of Financial Influencers." In 2024 14th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2024. http://dx.doi.org/10.1109/acit62333.2024.10712618.

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Mulia, Melvin Verdinan, Hans Dominic Tirta, Said Achmad, and Rhio Sutoyo. "The Influence of Computer Vision on Road Traffic." In 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). IEEE, 2024. https://doi.org/10.1109/icimcis63449.2024.10957360.

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Ko, Myeongseob, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, and Ruoxi Jia. "The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.02483.

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Zaitseva, L. A., and V. V. Zaitsev. "Computer Estimation of the EM Influence of Railroad AC Traction Networks." In 1992 International Symposium on Electromagnetic Compatibility. IEEE, 1992. https://doi.org/10.1109/isemc.2002.10792210.

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Zaitseva, L. A., and V. V. Zaitsev. "Computer Estimation of the EM Influence of Railroad AC Traction Networks." In 2002_EMC-Europe_Sorrento. IEEE, 2002. https://doi.org/10.23919/emc.2002.10880052.

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Sylka, Ye О. "Artificial intelligence and computer technologies in the art of stained glass." In TRANSFORMATION OF CULTURE AND ART UNDER THE INFLUENCE OF ARTIFICIAL INTELLIGENCE. Baltija Publishing, 2024. http://dx.doi.org/10.30525/978-9934-26-488-7-26.

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PALMER, D. "Influence of computer aids on engineering productivity." In Aircraft Design Systems and Operations Meeting. American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-3099.

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"HOW GENDER ISSUES CAN INFLUENCE STUDYING COMPUTER SCIENCE." In International Conference on Computer Supported Education. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001972502220227.

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Holbl, Marko, Tatjana Welzer, and Lili Nemec Zlatolas. "Students' Background Knowledge Influence on Learning Computer Programming." In 2021 30th Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE). IEEE, 2021. http://dx.doi.org/10.1109/eaeeie50507.2021.9530882.

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Yang, Song. "Influence of Color Perception on Computer Identifying Images." In 2013 Fourth International Conference on Digital Manufacturing & Automation (ICDMA). IEEE, 2013. http://dx.doi.org/10.1109/icdma.2013.164.

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Reports on the topic "Computer influence"

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Kondratenko, Larysa O., Hanna T. Samoylenko, Arnold E. Kiv, et al. Computer simulation of processes that influence adolescent learning motivation. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4452.

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In order for the learning process to always retain personal value for the learner, it is necessary that his or her motivation be maintained through an awareness of his or her purpose and goals. This article presents a local model (at the individual object level) of enhancing external motivation, which give to determine students’ efforts to get rewards. The concept of this model based on describing the behavior of agents (in our case students). The characteristics of the phenomenon in the motivation of learning at different stages of adolescent development are analyzed. The problem of computer modeling of educational processes with the help of agent modeling on the example of studying student motivation is considered. Internal and external factors that may strengthen or weaken the adolescent’s motivation to study have been studied. The expediency of using information technologies of agent modeling to study the dynamics of strengthening or weakening student motivation is substantiated. Using the AnyLogic Cloud computing environment the change of dynamics of strengthening of motivation of teenagers on an example of model of strengthening of external motivation is defined.
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2

Sayre, Carol. Using a Computer Program to Influence the Expectations Senior Adults have Regarding Hearing Aids. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6928.

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3

Orvis, Karin A., Kara L. Orvis, James Belanich, and Laura N. Mullin. The Influence of Trainee Gaming Experience and Computer Self-Efficacy on Learner Outcomes of Videogame-Based Learning Environments. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada437016.

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4

Nehring, Natalia, and Simon Dacey. Formative vs Summative Quizzes as Regular Feedback on Moodle in Computer Science Courses: Which do Students Prefer? Unitec ePress, 2021. http://dx.doi.org/10.34074/ocds.090.

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Deferred feedback on summative assessments can demotivate students and affect their overall learning performance, and it can change their study routines. The aim of this study is to compare and analyse students’ perceptions about summative and formative regular feedback: whether they are better motivated by being given marks, or by regular feedback without any marks. All participants were students from a Bachelor of Computer Science (BCS) degree at a New Zealand tertiary institute. Three courses were selected across three different levels of the BCS, and the sample group included 272 students from five different semesters. Summative (with marks) and formative (with feedback only) weekly quizzes were introduced in 2017, with the aim of providing early, regular feedback to students. Participants in the study were divided into two groups: students who were doing formative, and those who were doing summative quizzes. In each group, the majority of students indicated that they were happy and positive about getting regular feedback in the form of quizzes, and they appreciated the quiz questions and time spent as a way to adjust and enhance their learning. There was no real difference in students’ subjective evaluations and individual perceptions between those who had summative and those who had formative quizzes. The existence of quizzes, and the results, were important for students as weekly feedback and it didn’t matter whether marks were attached to these weekly feedback activities or not. More studies are needed to determine what type of questions could better influence students’ learning outcomes.
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Webster, D. G. Chesapeake Governance Study: Report of 2021 Decision Maker Interview Results. Dartmouth Digital Commons, 2022. http://dx.doi.org/10.1349/zylh8682.

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This report describes the aggregate results from a series of interviews conducted with decision makers involved in governance of the Chesapeake Watershed. Interviews began in June and ended in December of 2021. Information collected will be combined with other data to create and then test a computer model to predict likely policy changes under a range of future scenarios. It is part of a larger project funded by the National Science Foundation called Modeling the Dynamics of Human and Estuarine Systems with Regulatory Feedbacks (Award #2009248). Using the Chesapeake Bay as an example, this project will combine the policy model that we are designing with biophysical models to predict how social, economic and policy changes impact water quality, and how changes in water quality influence human behavior and decision-making.
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Ступнік, М. І., В. С. Моркун, and З. П. Бакум. Information and Communication Technologies in the Process of Mining Engineer Training. Криворізький державний педагогічний університет, 2013. http://dx.doi.org/10.31812/0564/405.

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Based on scientific analysis the authors of the article argued the necessity of solving priority tasks – the development of new educational technologies aimed at supporting the training of engineers in terms of the mining engineering as high-tech industry. The features of mining computer technologies are determined. There was worked out the project of the adaptive system of a mining engineer individual training "Electronic manual" aimed at the development of future professionals. The essence of individual preparation of future mining engineer ICT is defined. It is proved that the efficiency of the designing and planning of mining operations through the introduction of ICT at present is the real way to influence the quality of mining products that will promote individual learning orientation. For the first time pedagogical foundations for introducing adaptive training of mining engineers are clarified.
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Ray, Jason, James Kinnebrew, Ramsay Bell, and Martin Schultz. Sensitivity of simulated flaw-height estimates to phased array scan parameters. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47403.

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Phased array ultrasonic testing (PAUT) is a nondestructive testing (NDT) technique for detecting and sizing flaws in welds. Estimates of flaw size are sensitive to a variety of PAUT scan parameters. In this study, estimates of flaw height are simulated using computer software. The sensitivity of these estimates to selected PAUT scan parameters is analyzed to identify those that have the greatest influence on estimates of flaw height. Understanding how varying different parameters within a phased array instrument affects the accuracy of flaw-height estimates helps to validate PAUT scan procedures and improve flaw-height estimates. For this research, a series of permutations on selected flaws were performed to see how certain parameters affect the accuracy in sizing flaw height. In addition, an analysis on how beam spread leads to flaw sizing inaccuracies was also conducted as part of this work.
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8

Kramarenko, T. H., O. S. Pylypenko, and O. Yu Serdiuk. Digital technologies in specialized mathematics education: application of GeoGebra in Stereometry teaching. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4534.

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The purpose of the paper is to improve methodology of teaching Mathematics via the use of digital technologies. The task of the paper is to identify the issues that require a theoretical and experimental solution. The objective of the paper is the educational process in the higher education institution, the subject of the paper is modern ICT. The result of the study is the learning tools of pedagogically considered and adequate bending of conventional and modern learning environment implemented into the educational process. The possibilities of using cloud technologies and Dynamic Mathematics system GeoGebra in the educational process through Stereometry specialized training have been revealed. The use of GeoGebra Dynamic Mathematics in Stereometry teaching will favourably influence the formation of students’ STEM competencies. In order to encourage Mathematics and Computer Science teachers to implement effectively the elements of STEM education, it is suggested that cloud-based learning tools such as GeoGebra be used in the teaching process.
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9

Pylypenko, Olha S., Tetiana H. Kramarenko, and Ivan O. Muzyka. Application of GeoGebra in Stereometry teaching. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3898.

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The purpose of the paper is to improve methodology of teaching Mathematics via the use of cloud technology. The task of the paper is to identify the issues that require a theoretical and experimental solution. The objective of the paper is the educational process in the higher education institution, the subject of the paper is modern ICT. The result of the study is the learning tools of pedagogically considered and adequate bending of conventional and modern learning environment implemented into the educational process. The possibilities of using cloud technologies and Dynamic Mathematics system GeoGebra in the educational process through Stereometry specialized training have been revealed. The use of GeoGebra Dynamic Mathematics in Stereometry teaching will favourably influence the formation of students’ STEM competencies. In order to encourage Mathematics and Computer Science teachers to implement effectively the elements of STEM education, it is suggested that cloud-based learning tools such as GeoGebra be used in the teaching process.
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10

Johnson, Mark, John Wachen, and Steven McGee. Entrepreneurship, Federalism, and Chicago: Setting the Computer Science Agenda at the Local and National Levels. The Learning Partnership, 2020. http://dx.doi.org/10.51420/conf.2020.1.

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From 2012-13 to 2018-19, the number of Chicago Public Schools (CPS) high school students taking an introductory computer science course rose from three thousand per year to twelve thousand per year. Our analysis examines the policy entrepreneurship that helped drive the rapid expansion of computer science education in CPS, within the broader context of the development of computer science at the national level. We describe how actions at the national level (e.g., federal policy action and advocacy work by national organizations) created opportunities in Chicago and, likewise, how actions at the local level (e.g., district policy action and advocacy by local educators and stakeholders) influenced agenda setting at the national level. Data from interviews with prominent computer science advocates are used to document and explain the multidirectional (vertical and horizontal) flow of advocacy efforts and how these efforts influenced policy decisions in the area of computer science. These interviews with subsystem actors––which include district leaders, National Science Foundation program officers, academic researchers, and leaders from advocacy organizations––provide an insider’s perspective on the unfolding of events and highlight how advocates from various organizations worked to achieve their policy objectives.
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