scholarly journals Research on the Role of Big Data Technology in the Reform of English Teaching in Universities

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaoge Jia

This paper provides an in-depth understanding and analysis of the reform of English teaching in colleges and universities by analyzing the role of big data technology for the reform through in-depth research and analysis. Based on the background of the era of education informatization, this study explores the transformative value of the integration of information technology and teaching activities and elaborates the relevant significance at the theoretical and practical levels. Based on this, the research method of this study is established. The realm of integration of information technology and teaching activities and its transformative value is taken as the focus of the study. The integration of information technology and teaching activities means that it is not only a simple superposition between information technology and teaching but also a process to explore the role and influence of information technology into teaching activities by deeply exploring the inner connection between the two, to complete the integration of information technology and teaching activities, and finally to realize the comprehensive development of student’s personality.

2018 ◽  
Vol 1 (2) ◽  
pp. 157-171
Author(s):  
Dian Ekawati

The progress of the banking system cannot be separated from the role of information technology. In addition to facilitating the company's internal operations, technology tools also aim to facilitate service to bank customers. One side of Information Technology provides not a few benefits to improving services both public services and internal services. On the other hand Information Technology is used by people who are not responsible by committing acts that are against the law, which attacks various legal interests of the people, society, and the state. This study aims to get information about banking crimes that use the skimming method and about legal protection for customers who are victims of skimming crime. The research method is juridical normative, namely obtaining and combining and analyzing data obtained from books, articles and journals and related legislation. The results obtained are that crime skimming is an old mode of customer money burglary which is done by stealing customer data at the customer's ATM with skimmer techniques. Legal protection against customers who are harmed due to the crime of skimming can be carried out by criminal means, namely reporting to the police and the police's duty to arrest the perpetrators. Legal protection through civil law by way of the bank replacing the customer's money after clarifying the transaction against the customer's account


2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Yichu Wang

In the Internet age, computer technology and data analysis technology have been applied to the daily lives and work of the people. Big data technology has brought great influence to public management, providing efficient and convenient public services and improving the ability to cope with public opinion crises [1]. However, in the actual public management process, there are widespread problems such as single practice and poor data openness. Based on this, the article expounds the relevant content of big data, introduces the role of big data in public management, and studies the public management innovation in the age of big data.


2017 ◽  
Vol 2 (6) ◽  
pp. 570
Author(s):  
Cungki Kusdarjito

The advancement of big data analytics is paving the way for knowledge creation based on very huge and unstructured data. Currently, information is scattered and growth tremendously, containing many information but difficult to be interpreted. Consequently, traditional approaches are no longer suitable for unstructured data but very rich in information. This situation is different from the role of previous information technology in which information is based on structured data, stored in the local storage, and in more advanced form, information can be retrieved through internet. Meanwhile, in Indonesia data are collected by many institutions with different measurement standard. The nature of the data collection is top-down, carried out by survey which is expensive yet unreliable and stored exclusively by respective institution. SIDeKa (Sistem Informasi Desa dan Kawasan/Village and Regional Information System), which are connected nationally, is proposed as a system of data collection in the village level and prepared by local people. Using SIDeKa, data reliability and readiness can be improved at the local level. The goals of the SIDeKa is not only local people have information in their hand such as poverty level, production, commodity price, the area of cultivated land, and the outbreak of diseases in their village, but also they have information from the neighboring villages or event at the national level. For government, data reliability will improve the policy effectiveness. This paper discusses the implementation and role of SIDeKa for knowledge creation in the village level, especially for the agricultural activities which has been initiated in 2015.Keywords: big data analytics; SIDeKa;  unstructured data.


2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Yingli Lu

Embracing the challenge and mission of the new era, colleges and universities, as an important battle filed for cultivation of talents, should be guided by the educational concept of "Three-all Education", to train and transport outstanding talents for the country. Based on the concept of "Three-all Education" and centering on the innovative ability of college library service personnel training, this paper utilizes big data technology and means to realize the idea of "all-process education, all-staff education and all-round education", and explores the cultivation strategies for college library service personnel, which not only meets the urgent needs of college reform and development. It is also of great practical significance to cultivate young talents in the new era.


Sign in / Sign up

Export Citation Format

Share Document