scholarly journals Research on the Innovative Strategy of Blended Teaching in Network Marketing in the Era of Big Data

2021 ◽  
Vol 5 (11) ◽  
pp. 83-88
Author(s):  
Lei Liang ◽  
Zhiyong Fan
Keyword(s):  
Big Data ◽  
Independent Learning ◽  
Teaching Model ◽  
Network Marketing ◽  
Innovative Strategy ◽  
Model Combining ◽  
Hybrid Teaching ◽  
Core Literacy ◽  
Big Data Technology ◽  
Blended Teaching

Network Marketing is a practical professional compulsory course. With the advent of big data technology, a hybrid teaching model combining online and offline has emerged. Based on the analysis of the advantages of using a hybrid teaching model in Internet Marketing, this article comprehensively considers a variety of factors and put forward the innovative strategy of blended teaching in Network Marketing in the era of big data. This may provide new paths and methods for enhancing teaching effects, cultivating students’ independent learning, and improving core literacy.

scholarly journals Application of Big Data Technology in Blended Teaching of College Students: A Case Study on Rain Classroom

2020 ◽  
Vol 15 (11) ◽  
pp. 4
Author(s):  
Cuibi Yang ◽  
Shuliang Huan ◽  
Yong Yang
Keyword(s):  
College Students ◽  
Big Data ◽  
Engineering Students ◽  
College Education ◽  
Teaching Process ◽  
Class B ◽  
Questionnaire Surveys ◽  
Set Up ◽  
Big Data Technology ◽  
Blended Teaching

Rain classroom is a big data tool that effectively connects the teacher with students throughout the teaching process. This paper mainly applies rain classroom in blended teaching of college students, and evaluates the application effect. Firstly, the authors set up a model of rain classroom, covering all three phases of the teaching process: before-class (B), in-class (I) and after-class (A). Next, the BIA model was applied to the course Film and Television Appreciation, and the key issues in each phase were explained. To evaluate the effect of the BIA model, two questionnaire surveys were carried out among engineering students in Chongqing Three Gorges University. The results show that rain classroom can greatly improve the learning effect of the target course in various aspects: the teacher could arouse the students’ learning interest by sending red packets, make students more attentive through limited-time quiz, and reduce the absence through random roll call; the students were actively involved in group activities and confident in presenting their findings; however, many students most students switched to other apps in the class. The research results provide new insights to the application of big data technology in college education.

scholarly journals An Empirical Study on Innovation of College Blended Teaching under Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Qianqian Xie ◽  
Sang-Bing Tsai
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Learning Experience ◽  
Information Age ◽  
Big Data Analysis ◽  
Teaching Model ◽  
Application Technology ◽  
Teaching Mode ◽  
Teaching Content ◽  
Blended Teaching

With the advent of the information age, the way people obtain information has changed profoundly. The wave of informationization in higher education has also come with it, and the teaching mode, teaching content, and teaching form are constantly innovated. How to organically integrate information technology into education teaching in order to care for learners’ learning experience and promote the cultivation of new talents is an issue that current educational technology researchers need to pay great attention to. This paper first builds a complete blended teaching model of public English for higher education, but its application effect needs to be further examined. This paper is an investigation in the background of the current era to build a blended teaching model. Based on the continuous development of the era, the ideology and application technology of this field will keep upgrading, so the teaching model also needs to be changed and updated according to the characteristics of the development of the era. The investigation of mixed teaching modes is not permanent. The investigation of the mixed teaching mode is not permanent. At present, only a few courses apply the blended teaching mode. On the basis of the continuous updating of teaching concepts and the latest technologies, it is foreseen that the focus of subsequent investigations will be on the individualized development of the blended teaching mode.

A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

2019 ◽  
pp. 561-573
Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Experiment Data ◽  
Big Data Technology
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