Optimization of University English Teachers’ Career Development Path in the Era of Big Data

2021 ◽  
Author(s):  
Fei Liu
2021 ◽  
Vol 10 (2) ◽  
pp. 122-140
Author(s):  
Elena Kovacikova ◽  
Tomas Pechociak

The paper sheds light on the university preparation of future English teachers in Slovakia. Since the requirements for becoming an English teacher differ around the world, the first part of the paper describes and explains the requirements and career development of English teachers in Slovakia. Twelve Slovak faculties provide university preparation of future English teachers, and this research analyses their curricular offer. The courses offered to future English teachers are firstly categorized into linguistic, intercultural, methodological, and literary groups. As teaching practice becomes an essential part of the teacher preparation, the hours devoted to the teaching practice were counted at each institution. The tables and graphs show the sums of the courses and allocated hours. Thus, this paper brings an overview, comparison, and differences in the university preparation of future English teachers in Slovakia. Even though this survey shows only a quantitative point, this research results can be considered as one of the quality indicators in the university preparation of future English teachers in Slovakia


2021 ◽  
Vol 275 ◽  
pp. 03050
Author(s):  
Yixin He

With the continuous update of technical means, it is possible to store and process a large amount of data in news dissemination. This research mainly discusses the development of the news industry in the context of big data. Entering the era of big data, with the update of data collection and analysis and processing technology, audience feedback in news dissemination can directly through the in-depth mining of audience data and full sample analysis, fully and timely present the audience’s needs, preferences and behavior patterns. The value of audience feedback. Big data analysis of users can not only be applied to the overall analysis of users, but also can be refined to individual analysis. Through big data-based charts, the originally singular information presents different expressions, which greatly enhances the readability of news information. The main factors that affect users’ use of mobile news clients are the speed of news updates and the professionalism and comprehensiveness of news content, which account for 30% and 20% respectively. This research helps to propose a feasible development path for the future development of traditional news production.


2015 ◽  
Vol 29 (2) ◽  
pp. 381-396 ◽  
Author(s):  
Miklos A. Vasarhelyi ◽  
Alexander Kogan ◽  
Brad M. Tuttle

SYNOPSIS This paper discusses an overall framework of Big Data in accounting, setting the stage for the ensuing collection of essays that presents the ongoing evolution of corporate data into Big Data, ranging from the structured data contained in modern ERPs to loosely connected unstructured and semi-structured information from the environment. These essays focus on the sources, uses, and challenges of Big Data in accounting (measurement) and auditing (assurance). They consider the changing nature of accounting records and the incorporation of nontraditional sources of data into the accounting and auditing domains, as well as the need for changes in the accounting and auditing standards, and the new opportunities for audit analytics enabled by Big Data. Additionally, the papers discuss the interaction of Big Data and traditional sources of data, as well as Big Data's impact on audit judgment and behavioral research. Both accounting academics and accounting practitioners will benefit from learning about the significant potential benefits of Big Data and the inevitable challenges and obstacles in the way of its utilization. Advanced accounting students would also benefit from exposure to these emerging issues to enhance their future career development.


2021 ◽  
Vol 7 (5) ◽  
pp. 2881-2892
Author(s):  
Ning An ◽  
Jing Chuo

Objectives: At present, China’s rural development has entered a new era, and rural sports development is in its infancy. In order to achieve further development in rural sports, it is necessary to clarify the overall environment for the development of rural sports, understand the current stage of rural sports development, and supplement sufficient talents. Methods: Based on this paper, the SWOT-PEST model of rural sports development path transformation in the new era is analyzed, mainly from the perspective of talent big data. Results: A talent big data recommendation system is constructed based on collaborative filtering, the current rural sports development analyzed. Conclusion: The development environment and advantages and disadvantages of the module of talents are in order to facilitate the industry to adopt corresponding strategies.


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