Academic literature on the topic 'Expanding Knowledhe in the Information and Computing Sciences'

In Fog Computing, fog colonies are formed by nodes cooperating to provide services to end-users. To enable efficient operation and seamless scalability of fog colonies, decentralized control over participating nodes should be promoted. In such cases, autonomous Fog Nodes operate independently, sharing the context in which all colony members provide their services. In the paper, we explore different techniques of context diffusion and knowledge sharing between autonomous Fog Nodes within a fog colony, using ECTORAS, a publish/subscribe protocol. With ECTORAS, nodes become actively aware of their operating context, share contextual information and exchange operational policies to achieve self-configuration, self-adaptation and context awareness in an intelligent manner. Two different ECTORAS implementations are studied, one offering centralized control with the existence of a message broker, to manage colony participants and available topics, and one fully decentralized, catering to the erratic topology that Fog Computing may produce. The two schemes are tested as the Fog Colony size is expanding in terms of performance and energy consumption, in a prototype implementation based on Raspberry Pi nodes for smart building management.

Purpose The purpose of the study was to investigate factors promoting innovation and application of internet of things in academic and research information organizations. Design/methodology/approach Quantitative research design involved survey of selected academic and research information organizations in public and private chartered institutions. Information professionals, digital content managers, information systems and technologists that normally consume big data and technological resources were involved in the process of data collection using structured questionnaire and content analysis. Information organizations and information practitioners were selected from public and private academic and research institutions. Findings Innovation of internet of things has increasingly transformed and changed academic and research information organizations as the source of knowledge in addition to expanding access to education, data, information and communication anywhere anytime through hyperconnectivity and networking. Internet of things technologies such as mobile of things, web of things, digital information systems and personal devices are widely applied by digital natives in academic and research information organizations. Mobilization platform and devices is the single biggest provider of data, information and knowledge in academic and research organizations. Modern trends in education and knowledge practices in academic institutions and information organizations depends upon internet of things, digital repositories, electronic books and journals, social media interfaces, multimedia applications, information portal hubs and interactive websites, although challenges regarding inadequate information communication technology infrastructure and social computing facilities still persist. Research limitations/implications Information organizations in public and private chartered academic and research institutions were adopted in the study. Respondents handling and supporting information management, planning and decision-making provided the necessary data. Information professionals, digital content managers, information systems and technologists are proactively involved in data and information analytics. Practical implications Academic and research information organizations are powerhouses that provide knowledge to support research, teaching and learning for sustainable development and the betterment of humanity and society. Innovation of internet of things and associated technologies provides practical aspects of attaining sustainable information development practices in the contemporary knowledge society. Internet of things technologies, principles of economies of scale and investment and customer needs entail that information organizations and practitioners should provide appropriate and smart systems and solutions. Social implications Modern academic and research information organizations have the social corporate responsibility to offer technological innovations to heighten access to knowledge and learning in academic and research institutions. Economically, innovation and application of internet of things provide unlimited access to big data and information in organizations all the time anywhere anytime. Originality/value Data management is a growing phenomenon that information practitioners need to fully understand in the digital economies. Information professionals need to embrace and appreciate innovation and application of internet of things technologies whose role in sustainable development practices is critical in academic and research organizations.

The end-user computing satisfaction model (EUCS) has been widely used in previous studies, and Enterprise Resource Planning. Therefore, Enterprise Resource Planning (ERP) System, need to be developed in accordance with cloud computing that dominate current information technology devices. This study was carried out to test the expansion of the EUCS model in a cloud-based ERP system. Therefore, the purpose of this research is to re-examine the validity and reliability of the computer application satisfaction model and its relationship with user performance in cloud-based ERP system. The overall satisfaction variable is added as a mediation between the satisfaction model and user performance. Data was collected through snowball sampling with a questionnaire distributed to the cloud-based ERP users. Additionally, data processing was conducted using the Second-order concept in structural equation modeling with the Partial Least Square approach. Since data processing using WarpPLS confirmed the validity and reliability of the model and all relationships between variables, this research contributes theoretically to the study of end-user satisfaction from information technology applications. Its final section describes the limitations and opportunities for future research.

Digital sociology is a computational social science that uses modern information systems and technologies, has already formed. But the conflict with traditional sociology and its research methods has not yet been resolved. This conflict can be overcome if we remember that there is a common goal – the knowledge of the phenomena and processes of social life, which is primary in relation to the methods to be agreed upon. Digital transformation of sociology is essential, since 1) traditional sociological methods do not solve the problem of providing voluminous, reliable empirical data qualitatively and in a short time; 2) the transition from contact research methods to unobtrusive ones is in demand. The adaptation of four modern information technologies-cloud computing, big data, the Internet of things and artificial intelligence – for the purposes of sociology provides a qualitative transition in the methodology of knowledge of the digital society. Cloud computing provide researchers with tools, big data – research materials, Internet of things technology aimed at collecting indicators (receiving signals) in large volume, in real time, as direct, not indirect evidence of human behavior. The development of “artificial intelligence” technology expands the possibility of receiving processed signals of the quality of the social system without building a preliminary hypothesis, in a short time and on a large volume of processed data. Digital transformation of sociology does not mean abandoning the use of traditional methods of sociological analysis, but it involves expanding the competence of a sociologist, which requires a revision of University curricula. At the same time, combining the functions of an expert on the subject (sociologist) and data analyst in one specialist is assessed as unpromising, it is proposed to combine their professional competencies in working on unified research projects.

The conference highlighted the increasing complexity of the role of IS personnel. On the one hand, the demands of increased competitiveness are forcing technical experts to gain better understanding of the commercial requirements of the end users they serve, and on the other hand, the opportunities offered by the End-User Computing phenomenon are placing increasing demands on the technical capabilities of the end users themselves. The emerging picture is one of a highly dynamic IS profession, with expanding boundaries, fewer barriers between itself and other professions and offering greater opportunities for those entering it and increased challenges for those already in it.

Computational Thinking (CT) is a set of logical-operational cognitive skills or processes of reasoning, based on Computer Science. Abstraction, pattern recognition, algorithmic reasoning, and decomposition are examples of some of these skills that form the four pillar of CT. Some researchers have considered these skills as useful, and even mandatory to to cognitive development of the schoolchildren. In this paper, we present practical aspects and the possible contributions of CT in the development of competence of reading and interpreting English texts. Didactic interventions were carried out in high school classes of a public school, supported by the Bring Your Own Device (BYOD) approach, in which the students used their own smartphones. During these interventions, the students developed concept maps and podcasts, performed online exercises and the traditional exam, all of that composed the set of evaluation instruments. It was possible to understand that the CT skills are intrinsically present and contributed to the development of the reading and writing skills in English. According to testimonials, we highlight that the BYOD approach provided new conceptions and perspectives on the use of electronic equipment in function of the students’ learning.ResumoO Raciocínio Computacional (RC) é um conjunto de habilidades ou processos cognitivos lógico-operacionais de raciocínio, fundamentadas na Ciência da Computação. Abstração, reconhecimento de padrões, raciocínio algorítmico e decomposição são exemplos de algumas dessas habilidades que formam os quatro pilares do RC. Alguns pesquisadores consideram essas habilidades úteis, e até mesmo fundamentais, para o desenvolvimento cognitivo dos estudantes. Nesse sentido, este relato de experiência tem por objetivo apresentar aspectos práticos e possíveis contribuições do RC no desenvolvimento da competência de leitura e interpretação de textos de diferentes naturezas na disciplina de língua inglesa. Para isso, realizaram-se intervenções didáticas em uma turma do ensino médio de uma escola pública, apoiadas na abordagem Bring Your Own Device ou, simplesmente, BYOD, em que os estudantes usaram seus próprios aparelhos celulares. Durante o desenvolvimento das intervenções, os estudantes construíram mapas conceituais e podcasts, realizarem exercício online e a tradicional prova, os quais compuseram o conjunto de instrumentos avaliativos do bimestre. Por meio dessas intervenções, foi possível identificar como as habilidades do RC estiveram intrinsecamente presentes e contribuíram para o desenvolvimento da competência de leitura e escrita em língua inglesa, elencada pelos Parâmetros Curriculares Nacionais. Conforme relatos, além da articulação didática com o RC, a abordagem BYOD proporcionou à professora e aos estudantes novas concepções e perspectivas sobre o uso de equipamentos eletrônicos em função da aprendizagem deles mesmos.Palavras-chave: Raciocínio computacional, Ensino de inglês, Mobile learning, Educação em computação.Keywords: Computational thinking, English teaching, Mobile learning, Computer science education.ReferencesALBERTA Education. School Technology Branch. Bring your own device: a guide for schools. 2012. Disponível em:http://education.alberta.ca/admin/technology/research.aspx. Acesso em: 01 fev. 2017.ALLAN, Walter; COULTER, Bob; DENNER, Jill; ERICKSON, Jeri; LEE, Irene; MALYN-SMITH, Joyce; MARTIN, Fred. Computational thinking for youth. White Paper for the ITEST Learning Resource Centre na EDC. Small Working Group on Computational Thinking (CT), 2010. Disponível em: http://stelar.edc.org/publications/computational-thinking-youth. Acesso em: dez 2017.ARAÚJO, Ana Liz; ANDRADE, Wilkerson; GERRERO, Dalton Serey. Pensamento Computacional sob a visão dos profissionais da computação: uma discussão sobre conceitos e habilidades. In: Anais dos Workshops do VI Congresso Brasileiro de Informática na Educação. v. 4, n 1, 2015. p. 1454-1563.ARMONI, Michal. Computing in schools: On teaching topics in computer science theory. ACM Inroads, v. 1, n. 1, p. 21-22. 2010. DOI=http://dx.doi.org/10.1145/1721933.1721941BARBOSA, Márcio Lobo; ALVES, Álvaro Santos; JESUS, José Carlos Oliveira; BURNHAM, Teresinha Fróes. Mapas conceituais na avaliação da aprendizagem significativa. In: Anais do XVI Simpósio Nacional de Ensino de Física, v. 14, 2005, p. 1-4.BELL, Tim; WITTEN, Ian; FELLOWS, Mike. Ensinando Ciência da Computação sem o uso do computador. Computer Science Unplugged, 2011.BOCCONI, Stefania; CHIOCCARIELLO, Augusto; DETTORI, Giuliana; FERRARI, Anusca; ENGELHARDT, Katja. Developing computational thinking in compulsory education Implications for policy and practice. European Commission, JRC Science for Policy Report. 2016.BRASIL, Ministério da Educação. Secretaria da Educação Básica. PCN+ ensino médio: Orientações educacionais complementares aos parâmetros curriculares nacionais, Brasília: MEC. 2002. Disponível em: http://portal.mec.gov.br/seb/arquivos/pdf/linguagens02.pdf. Acesso em: set 2017.BRASIL. Ministério da Educação (MEC). Base Nacional Comum Curricular. 2017. Disponível em: http://basenacionalcomum.mec.gov.br/. Acesso em: set 2017.BRITANNICA, Encyclopaedia. Phenol: Encyclopaedia Britannica Online Academic Edition. Encyclopædia Britannica Inc. 2012. Disponível em: https://www.britannica.com/. Acesso em: 01 fev. 2017.BROOKSHEAR, J-Glenn. Ciência da Computação: uma visão abrangente. Porto Alegre, Bookman Editora, 2005.CHARLTON, Patricia; LUCKIN, Rosemary. Computational thinking and computer science in schools. What The Research Says’ Briefing, v. 2. 2012. [s.p.]CHIOFI, Luiz Carlos; OLIVEIRA, Marta Regina Furlan de. O uso das tecnologias educacionais como ferramenta didática no processo de ensino e aprendizagem. In: Anais da III Jornada de Didática - Jornada de Didática: Desafios para a Docência e II Seminário de Pesquisa do CEMAD. Londrina, 2014. [s.p.]COMPUTER AT SCHOOL. Computational Thinking: a guide for teachers. Hodder Education - the educational division of Hachette UK Digital Schoolhouse, 2015. Disponível em: https://community.computingatschool.org.uk/resources/2324/single. Acesso em: 01 set 2017.CORREIA, Paulo Rogério Miranda; SILVA, Amanda Cristina; ROMANO JÚNIOR, Jerson Geraldo. Mapas conceituais como ferramenta de avaliação na sala de aula. Revista Brasileira de Ensino de Física, v. 32, n. 4, p. 4402-4408. 2010.COSTA, Giselda dos Santos. Mobile learning: explorando potencialidades com o uso do celular no ensino-aprendizagem de língua inglesa como língua estrangeira com alunos da escola pública. 2013. 201f. Tese (Doutorado em Letras). Faculdade de Letras. Universidade Federal de Pernambuco. Recife. 2013.CSIZMADIA, Andrew; SENTANCE, Sue. Teachers’ perspectives on successful strategies for teaching Computing in school. In: IFIP TCS. 2015. Disponível em: <http://community.computingatschool.org.uk/files/6769/original.pdf>. Acesso em março 2018.CSIZMADIA, Andrew; CURZON, Paul; DORLING, Mark; HUMPHREYS, Simon; NG, Thomas; SELBY, Cynthia; WOOLLARD, John. Computational thinking: A guide for teachers. Computing at Schools, 2015. Disponível em: https://community.computingatschool.org.uk/files/8550/original.pdf>. Acesso em: 26 out. 2017.DIAS, Reneildes; JUCÁ, Leina; FARIA, Raquel. High Up: ensino médio. Cotia, SP: Macmillan, 2013.GOOGLE FOR EDUCATION. What is Computational Thinking? Computational Thinking for Educators. 2015. Disponível em: <https://computationalthinkingcourse.withgoogle.com/unit?lesson=8&unit=1. Acesso em: set 2017.LEE, Irene; MARTIN, Fred; DENNER, Jill; COULTER, Bob; ALLAN, Walter; ERICKSON, Jeri; MALYN-SMITH, Joyce; WERNER, Linda. Computational thinking for youth in practice. ACM Inroads, v. 2, n. 1, 2011. p. 32-37.LIUKAS, Linda. Hello Ruby: adventures in coding. New York: Feiwel & Friends, 2015.LU, Zhao.; YING, Lu. Application of Podcast in Teaching and Learning Oral English for Non-English Majors. In: International Conference on Computational and Information Sciences, Shiyang, 2013. p. 1935-1938. doi: 10.1109/ICCIS.2013.506MANNILA, Linda; VALENTINA, Dagiene; DEMO, Barbara; GRGURINA, Natasa; MIROLO, Claudio; ROLANDSSON, Lennart; SETTLE, Amber. Computational thinking in K-9 education. In: Proceedings of the working group reports of the 2014 on innovation & technology in computer science education conference. ACM, 2014. p. 1-29.MOREIRA, Antonio Marco. 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Purpose Cloud computing technology is advancing and expanding at an explosive rate. These advancements have further extended the capabilities of the virtual learning environment (VLE) to provide accessibility anywhere, anytime where educational resources can be saved, modified, retrieved and shared on the cloud. The purpose of this paper is to examine the predictors of instructional effectiveness of cloud computing VLE by extending the Self Determination and Channel Expansion Theory with external constructs of VLE interactivity, content design, school support, trust in website, knowledge sharing attitude and demographic variables. Design/methodology/approach Random sampling data were collected in two waves of nation-wide survey and analyzed with artificial neural network approach. Findings SDT, CET, content design, interactivity, trust in website, school support and demographics significantly predict instructional effectiveness. Research limitations/implications The study has provided a new paradigm shift from investigating the behavioral intention and continuance intention to the effectiveness of an information system. It advocates that quality of research may be improved by adhering to the basic research methodology starting from rigorous instrument development and validation to future research direction. Practical implications The research provides implications to Ministry of Education, the VLE content and service providers, scholars and practitioners. Social implications The findings of the study may further improve the quality of living of the society when the instructional effectiveness of the cloud-based VLE is further enhanced. Originality/value Existing grid computing VLE studies have focussed on the acceptance of students and teachers and not its instructional effectiveness. Unlike existing studies that examined extrinsic motivational factors (e.g. TAM, UTAUT), this study uses intrinsic motivational factors (e.g. relatedness, competence and autonomy) as well as perceived media richness. Malaysia is the first nation to implement the VLE at a national scale and the findings from this study will provide a new insight on the determinants of instructional effectiveness of the VLE system.

The attention of this article is focused on the impact that expanding of the usage of information and communication technologies (ICT) has on the economic development of Russian regions. As shown by various authors, the use of ICT ultimately leads to an increase in the factor productivity. Here, we assess to what extent the use of ICT contributes to the growth of economic development efficiency at the regional level, which is interpreted here as labor productivity in certain economic sectors, and measured as output per worker. Panel data analysis for Russian regions covers 2015–2018. The analysis shows that the spread of ICT has a positive effect on labor productivity in both mining and manufacturing, with dividing regions into two groups – ‘resource’ and ‘non-resource’ depending on role of the extractive industry in regional economy – when considering labor productivity in mining. It was found that there is a relationship between ICT development indicators and labor productivity, with significant factors being industry and regionally specific. The widespread adoption of ICT has a positive effect on the economic development effectiveness, with a stronger link in the manufacturing, while for the mining the discovered relation was not so clear. Among the factors affecting labor productivity in the mining in ‘resource’ regions are access to the Internet, the use of ‘cloud’ services, as well as involvement in research and development; for ‘non-resource’ regions significant factors are the use of local computer networks, regional ICT subsidies, and the purchase of computing equipment. For the manufacturing, the key factors are access to the Internet, the share of high-tech businesses in the regional economy, the purchase of computing equipment, and the use of the services of third-party organizations and ICT specialists

Aim/Purpose: This study aims to propose and empirically validate a model and investigates the factors influencing acceptance and use of Software as a Services cloud computing services (SaaS) from individuals’ perspectives utilizing an integrative model of Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) with modifications to suit the objective of the study. Background: Even though SaaS cloud computing services has gained the acceptance in its educational and technical aspects, it is still expanding constantly with emerging cloud technologies. Moreover, the individual as an end-user of this technology has not been given the ample attention pertaining to SaaS acceptance and adoption (AUSaaS). Additionally, the higher education sector needs to be probed regarding AUSaaS perception, not only from a managerial stance, but also the individual. Hence, further investigation in all aspects, including the human factor, deserves deeper inspection. Methodology: A quantitative approach with probability multi-stage sampling procedure conducted utilizing survey instrument distributed among students from three public Malaysian universities. The valid collected responses were 289 Bachelor’s degree students. The survey included the demographic part as well as the items to measure the constructs relationships hypothesized. Contribution: The empirical results disclosed the appropriateness of the integrated model in explaining the individual’s attitude (R2 = 57%), the behavior intention (R2 = 64%), and AUSaaS at the university settings (R2 = 50%). Also, the study offers valuable findings and examines new relationships that considered a theoretical contribution with proven empirical results. That is, the subjective norms effect on attitude and AUSaaS is adding empirical evidence of the model hypothesized. Knowing the significance of social effect is important in utilizing it to promote university products and SaaS applications – developed inside the university – through social media networks. Also, the direct effect of perceived usefulness on AUSaaS is another important theoretical contribution the SaaS service providers/higher education institutes should consider in promoting the usefulness of their products/services developed or offered to students/end-users. Additionally, the research contributes to the knowledge of the literature and is considered one of the leading studies on accepting SaaS services and applications as proliferation of studies focus on the general and broad concept of cloud computing. Furthermore, by integrating two theories (i.e., TPB and TAM), the study employed different factors in studying the perceptions towards the acceptance of SaaS services and applications: social factors (i.e., subjective norms), personal capabilities and capacities (i.e., perceived behavioral control), technological factors (i.e., perceived usefulness and perceived ease of use), and attitudinal factors. These factors are the strength of both theories and utilizing them is articulated to unveil the salient factors affecting the acceptance of SaaS services and applications. Findings: A statistically positive significant influence of the main TPB constructs with AUSaaS was revealed. Furthermore, subjective norms (SN) and perceived usefulness (PU) demonstrated prediction ability on AUSaaS. Also, SN proved a statically significant effect on attitude (ATT). Specifically, the main contributors of intention are PU, perceived ease of use, ATT, and perceived behavioral control. Also, the proposed framework is validated empirically and statistically. Recommendation for Researchers: The proposed model is highly recommended to be tested in different settings and cultures. Also, recruiting different respondents with different roles, occupations, and cultures would likely draw more insights of the results obtained in the current research and its generalizability Future Research: Participants from private universities or other educational institutes suggested in future work as the sample here focused only on public sector universities. The model included limited number of variables suggesting that it can be extended in future works with other constructs such as trialability, compatibility, security, risk, privacy, and self-efficacy. Comparison of different ethnic groups, ages, genders, or fields of study in future research would be invaluable to enhance the findings or reveal new insights. Replication of the study in different settings is encouraged.

This project revolves around Small Histories, an online web-based software system for the uploading and sharing of life stories: http://www.smallhistories.com. I created Small Histories to explore the ways in which the internet can facilitate the urge to tell, share and compare one’s personal history and, by doing so, generate an online network of interlinked personal narratives connected to historical times, events and places. The project originated with a personal event: the tracing of my biological Israeli father in 1997 and my subsequent explorations of my Israeli and German family histories. The stories I encountered in these explorations differed, depending on who was telling them. The Small Histories system was a response to the potential of the burgeoning internet to represent such differing viewpoints, and to generate new forms of encounters with the past. Since then the system has developed in tandem with the internet, especially the explosive growth over recent years of what has been called social software. Conceptually, this project explores the fast-evolving social internet as a setting for auto/biographical narrative practice and how this overlaps with and changes accepted notions of performance, community formation, identity construction and acts of memory. As a framework for these investigations, I propose that the internet is a catalyst without precedent for the production of performances of reconstruction, where fragments of the past are dug up, collected, assembled and presented as an imaginative reconstruction of ‘what used to be’, in an attempt to re-establish a lost sense of roots, identity and belonging; a coherent narrative of identity in an era of fragmentation.

In this chapter, Big Data provide large-volume, complex structure, heterogeneous and irregular growing data sets include multiple and autonomous different resources. In this chapter, With the growing improvement of networking sites, image information storing capacity become big issue too, Big Data concept are most growing expanding in all technical area and knowledge engineering domains, including physical, medical and paramedical sciences. Here a data-driven method consist demand-driven aggregation of information and knowledge mining and analysis, user interest prototyping, security and privacy aspects has been presented.