Digitizing Cultural Complexity

2020 ◽  
pp. 546-572
Author(s):  
Georgina Nugent-Folan ◽  
Jennifer Edmond
Keyword(s):  
Big Data ◽  
Small Scale ◽  
Complex Data ◽  
Ict Integration ◽  
Cultural Complexity ◽  
Information And Communication ◽  
Data Environment ◽  
Key Terms ◽  
The Impact ◽  
Implicit Definitions

One of the major terminological forces driving information and communication technology (ICT) integration in research today is “big data.” The characteristics of big data make big data sound inclusive and integrative. However, in practice such approaches are highly selective, excluding input that cannot be effectively structured, represented, or digitized; in other words, excluding complex data. Yet complex data are precisely the kind that human activity tends to produce, but the technological imperative to enhance signal through the reduction of noise does not accommodate this richness. The objective of this chapter is to explore the impact of bias in digital approaches to knowledge creation by investigating the delimiting effect digital mediation and datafication can have on rich, complex cultural data. If rich or complex data prove difficult to fully represent on a small-scale level, in the transition to a big data environment, we run the risk of losing much of what makes this material useful or interesting in the first place. We will begin by reviewing some of the existing implicit definitions of data that underlie ICT-driven research. In doing so will draw attention to the heterogeneity of definitions of data, to identify the key terms associated with data demarcation and data use, and to then expand on the implications of this heterogeneity.

scholarly journals Information and Communication Technologies in A Postgraduate TESOL Program: A Human Capital Investment

2021 ◽  
Author(s):  
Manal AlMarwani
Keyword(s):  
Higher Education ◽  
Information And Communication Technologies ◽  
Capital Investment ◽  
Faculty Members ◽  
Ict Integration ◽  
Postgraduate Students ◽  
National Education ◽  
National Education System ◽  
Information And Communication ◽  
The Impact

With the global advancements in Information and Communication Technology (ICT) and the national and international demand for well-developed ICT skills and competencies, academic programs at higher education institutions need to make necessary adjustments to content and processes. This study reports on the current ICT integration practices in a TESOL postgraduate program at a Saudi Arabian university, addressing viewpoints at administrative, faculty, and postgraduate student levels. Three different questionnaires were used to answer the following questions: What are the TESOL postgraduate students’ practices of ICT integration, and how do they perceive their professors’ practices? What ICT integration practices do faculty members use, and how do they perceive the merit and desirability of their practices? And ‘How is ICT integration tackled at the administrative level with respect to policy and procedures, infrastructure, training, and technical support? The findings indicate that ICT integration practices in this program are lagging expectations. This is not a matter of attitude, potential, and challenges in the current situation, but is related to understanding the national ICT policy and developing sustainable strategies at an institutional level to guide and support faculty members’ practices. Since the impact of such changes will go beyond higher education to the broader national education system, much more attention needs to be dedicated to teacher education and professional development programs, including TESOL postgraduate programs.

scholarly journals Big Data and the Ethical Implications of Data Privacy in Higher Education Research

2020 ◽  
Vol 12 (20) ◽  
pp. 8744
Author(s):  
Diana Florea ◽  
Silvia Florea
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Education Research ◽  
Private Information ◽  
Data Privacy ◽  
Complex Nature ◽  
Complex Data ◽  
Higher Education Research ◽  
Ethical Implications ◽  
The Impact

Despite the claimed worth and huge interest regarding the increasing volumes of complex data sets and the rewarding promise to improve research, there is, however, a growing concern regarding data privacy that affects both qualitative and quantitative higher education research. Within the contemporary debates on the impact of Big Data on the nature of higher education research and the effective ways to harmonize Big Data practice with privacy restrictions and regulations, this study sets out to qualitatively examine current issues regarding data privacy, anonymity, informed consent and confidentiality in data-centric higher education research, with a focus on the data collector, data subject and data user. We argue that within current regulations, data protection of research subjects concerns more data collection and disclosure and insufficiently describes use, having procedural implications for both the complex nature of higher education (HE) research and the type of research data being collected. We work our argument through an examination of several factors that call for a reconsideration of data privacy and access to private information in HE research. The conclusions indicate that Big Data-centric HE research is increasingly becoming a mainstream research paradigm which needs to address critical data privacy issues before being widely embraced.

scholarly journals Microlearning for improved student outcomes in higher education: A scoping review

2020 ◽  
Author(s):  
Adrian B. R. Shatte ◽  
Samantha Teague
Keyword(s):  
Higher Education ◽  
Information Technology ◽  
Scoping Review ◽  
Interdisciplinary Research ◽  
Student Outcomes ◽  
Teaching And Learning ◽  
Small Scale ◽  
Motivation To Learn ◽  
Key Terms ◽  
The Impact

This paper aims to synthesise the literature on technology-based microlearning in higher education. Six education, information technology, and interdisciplinary research databases were searched using key terms relating to technology-based microlearning in higher education. Articles were assessed by two reviewers, and data were extracted on the article’s microlearning features, supporting technologies, educational discipline, and outcomes for teaching and learning . Articles were then synthesised via narrative review. Forty papers focusing on the application of technology-based microlearning to higher education were identified. Three keys themes emerged, including: (i) methods for microlearning design and delivery; (ii) the impact of microlearning on objective student outcomes (e.g. academic performance and participation); and (iii) the impact of microlearning on subjective student outcomes (e.g. motivation to learn and user experience of using microlearning technologies). Overall, the application of microlearning to higher education has demonstrated a range of benefits for both objective and subjective student outcomes. With the majority of studies reporting on small-scale studies conducted across various disciplines, it is evident that there is significant room for further research on the application of technology-based microlearning to further understand the nuances of its application in higher education. Combined, the results of the current study collate the existing evidence on the benefits and limitations of microlearning in higher education, and can thus assist educational practitioners in incorporating microlearning content into their own teaching materials.

scholarly journals The influence of Big data concept on future tendencies in payment systems

2020 ◽  
Vol 17 (3) ◽  
pp. 115-130
Author(s):  
Nenad Tomić ◽  
Violeta Todorović
Keyword(s):  
Big Data ◽  
New Wave ◽  
Payment Systems ◽  
Business Decision ◽  
Key Stakeholders ◽  
Information And Communication ◽  
Technology Transformation ◽  
The Impact ◽  
Transactional Data ◽  
Information Basis

The new wave of information and communication technology transformation relies on the concepts of the Internet of Things, Big Data and machine learning. These concepts will enable the connection and independent communication of a large number of devices, the processing of data that arises as a result of these processes and learning based on the refined information. Payment system is a sector that will experience major impacts by the coming changes. A large number of transactions create an information basis, whose analysis can provide precise inputs for business decision making. The subject of paper is the impact of managing a large amount of transactional data on key stakeholders in the payment process. The aim of the paper is to identify the key advantages and dangers that the Big Data concept will bring to the payment industry. The general conclusion is that the use of Big Data tools can facilitate the timely distribution of payment services and increase the security of transactions, but the price in the form of a loss of privacy is extremely high.

scholarly journals Development and Use of Information and Digital Technologies at Ukrainian Enterprises

2021 ◽  
Vol 100 ◽  
pp. 01010
Author(s):  
Marta Shkvaryliuk ◽  
Liliana Horal ◽  
Inesa Khvostina ◽  
Alla Maksymova ◽  
Vira Shyiko
Keyword(s):  
Big Data ◽  
Information And Communication Technologies ◽  
Information Technologies ◽  
Digital Technologies ◽  
Communication Technologies ◽  
Modern World ◽  
The Internet ◽  
Electronic Trade ◽  
Information And Communication ◽  
The Impact

The paper considers the problems consider the problems of enterprises digitalization. Based on the research of the scientific literature, it is established that enterprises in the modern world need the active introduction of information and digital technologies to ensure the competitiveness of production and active development in the future. The analysis and assessment of the use and development of communication and information technologies by domestic enterprises is carried out. According to its results, it is established that the main areas of information and communication technologies implementation in domestic enterprises are cloud computing services, sources of "big data" for the analysis of "big data", 3D printing, external links to the Internet, own websites and electronic trade via the Internet, etc. It is determined that due to the rather intensive growth of the number of enterprises in the information and communication industry, the use of their developments in production is rather insignificant. Only 5% of enterprises during the study period used all the above information technologies in their activities. Based on the analysis, the problem areas of the process of implementation and development of communication and information technologies at domestic enterprises are identified and recommendations for improving the efficiency of information and communication technologies are provided. The MatLab Statistic Toolbox built into MatLab is used to determine the trends of the impact of digital innovations and the number of information and communication enterprises on GDP.

Forming connections in the digital era: Tinder, a new tool in young Australian intimate life

2017 ◽  
Vol 54 (3) ◽  
pp. 346-361 ◽  
Author(s):  
Lyndsay Newett ◽  
Brendan Churchill ◽  
Brady Robards
Keyword(s):  
Smartphone Application ◽  
Small Scale ◽  
Sociological Research ◽  
Additional Tool ◽  
Digital Era ◽  
Information And Communication ◽  
Survey Results ◽  
Perceived Impact ◽  
Intimate Life ◽  
The Impact

Tinder is a location-based smartphone application used by young adults. Advertised as a popular and unique way to forge connections, Tinder’s introduction into intimate life is indicative of increased information and communication technology (ICT) usage within this sphere. While the impact of ICT use within intimate life has been debated, little sociological research has investigated Tinder within this context. This article draws on data from a small scale exploratory study, including surveys (n = 203) and interviews (n = 10), examining the use of Tinder by young Australians (aged 18 to 30) and how use contributes to intimate outcomes. While survey results provide insight regarding engagement with Tinder and its use in intimate life, two key themes – (1) Tinder’s use as an additional tool in intimate life and (2) its perceived impact on ‘connection quality’ – demonstrate Tinder’s role in intimate outcomes. Findings support Jurgenson’s depiction of today’s societies as ones characterised by augmented reality rather than digital dualism.

scholarly journals Big Data and Data Analytics in Agricultural Space: Towards Sustainable and Intelligent Agro Sector Development

2020 ◽  
pp. 95-120
Author(s):  
P. K. Paul ◽  
◽  
Anil Bhuimali ◽  
R.R. Sinha ◽  
K.S. Tiwary ◽  
...  
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Complex Data ◽  
Agricultural Systems ◽  
Daily Lives ◽  
Leading Role ◽  
Rapid Changes ◽  
It Applications ◽  
Nano Science ◽  
The Impact

Agriculture has become important for each and everyone for its importance in the daily lives. Cultivation and farming is most important and valuable in our life as it is needed for all of us. Furthermore it is essential to have better healthy agricultural systems and in this context Agricultural Informatics play a leading role. Here proper mechanism is very important in healthy and modern agricultural systems and development and for this various initiatives and methods are useful and enhancing. There are rapid changes and growth in respect of the support of various technologies which help in modernizing agricultural production and systems like genetic engineering and technologies, computing and information technology, nano-science and technology, Management Science etc. The combination of Information Technology and Agricultural Sciences has led to the developed the Agricultural Informatics. Agricultural Informatics is simply IT applications in Agriculture and allied areas with its various components. Though in recent past more emerging technologies of IT are enhancing the traditional growth of the Agricultural Informatics and among the technologies important are Big Data and Analytics, AI & Robotics, Cloud Computing & Virtualization, Internet of Things etc. And among these, Big Data and Analytics is emerging and changing the entire arena of the Agricultural Informatics with its periphery and functioning. As the data is changing and rapidly growing therefore, Big Data and Analytics is the solution for managing data effectively with large amount and also the complex data. This paper is theoretical and various aspects of Agricultural Informatics are mentioned such as features, applications and specially the impact of Big Data and Analytics. The Paper is also focused on possibilities of Big Data and Analytics in Agricultural Informatics with challenges, issues etc.

The Impact of Big Data Research on Practice, Policy, and Cancer Care

2019 ◽  
pp. e167-e175 ◽  
Author(s):  
David A. Chambers ◽  
Eitan Amir ◽  
Ramy R. Saleh ◽  
Danielle Rodin ◽  
Nancy L. Keating ◽  
...  
Keyword(s):  
Big Data ◽  
Policy Research ◽  
Clinical Trial Data ◽  
Policy Decision ◽  
Data Sources ◽  
Complex Data ◽  
Multiple Sources ◽  
Data Types ◽  
Biomedical Knowledge ◽  
The Impact

The concept of “big data” research—the aggregation and analysis of biologic, clinical, administrative, and other data sources to drive new advances in biomedical knowledge—has been embraced by the cancer research enterprise. Although much of the conversation has concentrated on the amalgamation of basic biologic data (e.g., genomics, metabolomics, tumor tissue), new opportunities to extend potential contributions of big data to clinical practice and policy abound. This article examines these opportunities through discussion of three major data sources: aggregated clinical trial data, administrative data (including insurance claims data), and data from electronic health records. We will discuss the benefits of data use to answer key oncology practice and policy research questions, along with limitations inherent in these complex data sources. Finally, the article will discuss overarching themes across data types and offer next steps for the research, practice, and policy communities. The use of multiple sources of big data has the promise of improving knowledge and providing more accurate data for clinicians and policy decision makers. In the future, optimization of machine learning may allow for current limitations of big data analyses to be attenuated, thereby resulting in improved patient care and outcomes.

Sign in / Sign up

Export Citation Format

Share Document