scholarly journals Smart University: A University In the Technological Age

TEM Journal ◽  
2021 ◽  
pp. 13-17
Author(s):  
Anne Bakupa Mbombo ◽  
Nadire Cavus
Keyword(s):  
Big Data ◽  
Technological Innovation ◽  
Global Education ◽  
Education Reforms ◽  
Technological Advances ◽  
Educational Institute ◽  
E Learning ◽  
Technological Age ◽  
The Way

All universities have changed their visions because of developments in the advancement of education and other disciplines which are generally legitimately linked to global education reforms. The learning arena is gradually influenced by technological advances such as e-learning, IoT etc. which are rapidly and absolutely changing the way educators provide instruction and teach students. A Smart University is a university that uses technological innovation within its organization to accomplish its mission. This research focuses on the concept of a Smart University that incorporates within it the concept of big data and elearning, while showing its impact on teachers, learners and the educational institute in general.

An Empirical Study of a Corporate E-Learning Portal

2011 ◽  
pp. 321-326
Author(s):  
Meliha Handzic ◽  
Joon Ho Hur
Keyword(s):  
Growth Rate ◽  
Empirical Study ◽  
Global Education ◽  
Driving Forces ◽  
Annual Growth Rate ◽  
Electronic Learning ◽  
Technological Advances ◽  
Education Market ◽  
E Learning ◽  
Changing Demographics

Technological advances, globalisation, changing demographics and privatisation are the main driving forces behind the current transformation of education. Market research firms estimate that electronic learning or e-learning is the fastest growing sector of the global education market with an annual growth rate of 10-15% (Hezel Associates, 2005)

scholarly journals Anachronistic Progress? User Notions of Lie Detection in the Juridical Field

2020 ◽  
Vol 6 ◽  
pp. 328
Author(s):  
Bettina Paul ◽  
Larissa Fischer ◽  
Torsten H. Voigt
Keyword(s):  
Procedural Justice ◽  
Brain Imaging ◽  
Technological Innovation ◽  
Empirical Investigation ◽  
Lie Detection ◽  
Judicial System ◽  
Technological Advances ◽  
The Way

In recent years, progress in the field of lie detection has been linked to technological advances from classic polygraphs to neuroscientific brain imaging. In our empirical investigation, however, we found different notions of progress that do not comply with the popular understanding of progress as technological innovation. We follow the users of lie detection procedures in Germany in order to discern how they embrace seemingly old technologies and frame them in terms of novelty and improvement. We identify two notions of progress: one view of the polygraph in the juridical field as an instrument for procedural justice, and another view in which the device functions as a symbol of openness to improvements in the judicial system. These insights complement contemporary scholarship on lie detection by shining a critical light on the rhetoric of progress in relation to the promises of brain-based lie detection procedures. When analyzing the way polygraph tests are seen as progress, it becomes clear that the promises and hopes that are linked to this technology are of more relevance for its appraisal than its placement in time.

scholarly journals TECHNOLOGICAL INNOVATION IN INTEGRATION AND INTERCONNECTION OF SCIENCE IN ISLAMIC HIGHER EDUCATION

2020 ◽  
Vol 4 (2) ◽  
pp. 1-20
Author(s):  
Muh Syauqi Malik
Keyword(s):  
Higher Education ◽  
Technological Innovation ◽  
Learning Process ◽  
Digital Learning ◽  
Journal Articles ◽  
Religious Knowledge ◽  
Technological Advances ◽  
Study Results ◽  
E Learning ◽  
Digital Learning Resources

Technological progress cannot be hindered because today, education is entering the industrial era 4.0 characterized by education that uses digital technology in the learning process. With the use of this technology, the learning process is not limited to space and time. The terms religious knowledge and general science should not exist. Science is one unit because its source is from the Koran. This study aims to explain technological innovation in the integration and interconnection of science in Islamic higher education. This research is a research library. Therefore, what is done is exploring several data by examining in-depth reference sources from national and international journal articles and reading books relevant to the research. The data collection method that researchers use is by collecting books, articles, journals, and opinions which reveal and study the Interconnection Integration. The study results indicate that the integration and interconnection of knowledge can be achieved if learning refers to the principles of integration between Hadarah an-Nash, Hadarah al-Ilm, and Hadarah al-Falsafah. Technological advances can be used to achieve these goals, such as e-learning, digital learning resources, and teleconferencing.

The Rise of Big Data: How It’s Changing the Way We Think

CFA Digest ◽  
2013 ◽  
Vol 43 (4) ◽  
Author(s):  
Santosh Pokharel
Keyword(s):  
Big Data ◽  
The Way

Artistic Challenges within Control Societies: Big Data and Democratic Resistance

MedienJournal ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 50-61 ◽  
Author(s):  
Jan Jagodzinski
Keyword(s):  
Big Data ◽  
Gilles Deleuze ◽  
Data Archive ◽  
Current State ◽  
The Future ◽  
The Way

This paper will first briefly map out the shift from disciplinary to control societies (what I call designer capitalism, the idea of control comes from Gilles Deleuze) in relation to surveillance and mediation of life through screen cultures. The paper then shifts to the issues of digitalization in relation to big data that have the danger of continuing to close off life as zoë, that is life that is creative rather than captured via attention technologies through marketing techniques and surveillance. The last part of this paper then develops the way artists are able to resist the big data archive by turning the data in on itself to offer viewers and participants a glimpse of the current state of manipulating desire and maintaining copy right in order to keep the future closed rather than being potentially open.

Rediseñando las Organizaciones del Futuro. El impacto de la transformación digital en el mundo del trabajo

2019 ◽  
Vol 1 (1) ◽  
pp. 199-226
Author(s):  
Ricardo M. Piñeyro Prins ◽  
Guadalupe E. Estrada Narvaez
Keyword(s):  
Industrial Revolution ◽  
New Technologies ◽  
Third Sector ◽  
Digital Transformation ◽  
Digital Culture ◽  
Exploratory Research ◽  
The People ◽  
Technological Advances ◽  
Current Scenario ◽  
The Way

We are witnessing how new technologies are radically changing the design of organizations, the way in which they produce and manage both their objectives and their strategies, and -above all- how digital transformation impacts the people who are part of it. Even today in our country, many organizations think that digitalizing is having a presence on social networks, a web page or venturing into cases of success in corporate social intranet. Others begin to invest a large part of their budget in training their teams and adapting them to the digital age. But given this current scenario, do we know exactly what the digital transformation of organizations means? It is necessary? Implying? Is there a roadmap to follow that leads to the success of this process? How are organizations that have been born 100% digital from their business conception to the way of producing services through the use of platforms? What role does the organizational culture play in this scenario? The challenge of the digital transformation of businesses and organizations, which is part of the paradigm of the industrial revolution 4.0, is happening here and now in all types of organizations, whether are they private, public or third sector. The challenge to take into account in this process is to identify the digital competences that each worker must face in order to accompany these changes and not be left out of it. In this sense, the present work seeks to analyze the main characteristics of the current technological advances that make up the digital transformation of organizations and how they must be accompanied by a digital culture and skills that allow their successful development. In order to approach this project, we will carry out an exploratory research, collecting data from the sector of new actors in the world of work such as employment platforms in its various areas (gastronomy, delivery, transportation, recreation, domestic service, etc) and an analysis of the main technological changes that impact on the digital transformation of organizations in Argentina.

Using Big Data Technology For Prediction Of Quiz Difficulty Level In E-learning Systems

2018 ◽  
pp. 176
Author(s):  
Hiba A. Abu Alsaad ◽  
Rana Riad K. Al Taie
Keyword(s):  
Big Data ◽  
Learning Systems ◽  
Difficulty Level ◽  
E Learning ◽  
Big Data Technology

scholarly journals Teaching Mathematics at Distance: A Challenge for Universities

2020 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Rosalinda Cassibba ◽  
Daniela Ferrarello ◽  
Maria Flavia Mammana ◽  
Pasquale Musso ◽  
Mario Pennisi ◽  
...  
Keyword(s):  
Teaching Mathematics ◽  
State University ◽  
Distance Teaching ◽  
Face To Face ◽  
University Mathematics ◽  
Learning Platform ◽  
E Learning ◽  
University Level ◽  
Teaching Modality ◽  
The Way

The focus of this research is how Sicilian state university mathematics professors faced the challenge of teaching via distance education during the first wave of the COVID-19 pandemic. Since the pandemic entered our lives suddenly, the professors found themselves having to lecture using an e-learning platform that they had never used before, and for which they could not receive training due to the health emergency. In addition to the emotional aspects related to the particular situation of the pandemic, there are two aspects to consider when teaching mathematics at a distance. The first is related to the fact that at university level, lecturers generally teach mathematics in a formal way, using many symbols and formulas that they are used to writing. The second aspect is that the way mathematics is taught is also related to the students to whom the teaching is addressed. In fact, not only online, but also in face-to-face modality, the teaching of mathematics to students on the mathematics degree course involves a different approach to lessons (as well as to the choice of topics to explain) than teaching mathematics in another degree course. In order to investigate how the Sicilian State university mathematics professors taught mathematics at distance, a questionnaire was prepared and administered one month after the beginning of the lockdown in Italy. Both quantitative and qualitative analyses were made, which allowed us to observe the way that university professors have adapted to the new teaching modality: they started to appropriate new artifacts (writing tablets, mathematical software, e-learning platform) to replicate their face-to-face teaching modality, mostly maintaining their blackboard teacher status. Their answers also reveal their beliefs related to teaching mathematics at university level, noting what has been an advantageous or disadvantageous for them in distance teaching.

scholarly journals CoPart: a context-based partitioning technique for big data

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sara Migliorini ◽  
Alberto Belussi ◽  
Elisa Quintarelli ◽  
Damiano Carra
Keyword(s):  
Big Data ◽  
Quality Criteria ◽  
Query Execution ◽  
Data Correlation ◽  
Huge Amount ◽  
Programming Paradigm ◽  
Computation Node ◽  
Contextual Dimension ◽  
Partitioning Technique ◽  
The Way

AbstractThe MapReduce programming paradigm is frequently used in order to process and analyse a huge amount of data. This paradigm relies on the ability to apply the same operation in parallel on independent chunks of data. The consequence is that the overall performances greatly depend on the way data are partitioned among the various computation nodes. The default partitioning technique, provided by systems like Hadoop or Spark, basically performs a random subdivision of the input records, without considering the nature and correlation between them. Even if such approach can be appropriate in the simplest case where all the input records have to be always analyzed, it becomes a limit for sophisticated analyses, in which correlations between records can be exploited to preliminarily prune unnecessary computations. In this paper we design a context-based multi-dimensional partitioning technique, called CoPart, which takes care of data correlation in order to determine how records are subdivided between splits (i.e., units of work assigned to a computation node). More specifically, it considers not only the correlation of data w.r.t. contextual attributes, but also the distribution of each contextual dimension in the dataset. We experimentally compare our approach with existing ones, considering both quality criteria and the query execution times.

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