Research on the construction of O2O teaching system of cross-cultural knowledge in College English based on MOOC

2021 ◽  
pp. 1-10
Author(s):  
Yanli Huang ◽  
Qiang Mai
Keyword(s):  
Adaptive Learning ◽  
Question Answering ◽  
Learning Algorithm ◽  
Cultural Knowledge ◽  
Cross Cultural ◽  
Teaching System ◽  
College English ◽  
Interest Model ◽  
Deep Learning Network ◽  
Realization Process

In order to improve the teaching effect of college English cross-cultural knowledge, with the support of recommendation algorithms, this paper builds a O2O teaching system of cross-cultural knowledge in college English based on MOOC, and provides service methods such as material resource learning, “smart grab-order” question answering, resource recommendation, LBS appointment teaching and offline teaching. Moreover, this paper constructs a learner and teacher interest model, introduces a suspicious degree update model into the interest model, uses a deep learning network algorithm to recommend composition resources, and uses a deep network adaptive learning algorithm to enhance the accuracy of composition resource recommendation. In addition, this paper constructs a system framework structure based on actual needs, and studies the realization process of each of its functional modules. Finally, this paper designs an experiment to evaluate the practical effect of O2O teaching system of cross-cultural knowledge in college English based on MOOC. The research results show that the system constructed in this paper meets the expected requirements.

A study on the construction of O2O teaching system of college English cross-cultural knowledge based on MOOC artificial intelligence

2021 ◽  
pp. 1-6
Author(s):  
Min Li ◽  
He Lv
Keyword(s):  
Online Education ◽  
Cultural Difference ◽  
Fitness Function ◽  
Cultural Knowledge ◽  
Cross Cultural ◽  
Learning Ability ◽  
English Learning ◽  
Teaching System ◽  
College English ◽  
English Teaching

In this paper, MOOC-based O2O Teaching System for college English cross - cultural knowledge is introduced to improve the 3P model of traditional English teaching through data analysis of the combined and optimized fitness function and social evolution operator. First, through analyzing and summarizing a large number of domestic and foreign literatures and research results, the construction scheme of MOOC-based O2O Teaching System for college English cross-cultural knowledge was established. Moreover, this paper studies the construction mode of MOOC-based O2O Teaching System for college English cross-cultural knowledge and finally establishes the teaching system, and concludes that colleges and universities should pay attention to the cultural difference in English learning, and emphasis on the cultivation of college student cross-cultural knowledge. The specific path is online education combined with offline education for common development, thereby enhancing college students’ English learning ability and practical ability. To sum up, in college English teaching, we should pay attention to the education of English cross-cultural knowledge, O2O mode for cross-cultural knowledge can be used to combine 3P teaching mode and online education mode in MOOC environment, promoting innovation and development of educational methods under the guidance of the constructivism, so as to improve students’ English proficiency.

scholarly journals College English Teaching Design and Practice Based on Cross-cultural Theory

2016 ◽  
Vol 11 (08) ◽  
pp. 65 ◽  
Author(s):  
Xin Zhao ◽  
Shuang Gu ◽  
Shanshan Yu ◽  
Mingli Gao
Keyword(s):  
Teaching Strategies ◽  
Teaching Practice ◽  
Language Education ◽  
Cultural Knowledge ◽  
Cross Cultural ◽  
College English ◽  
English Teaching ◽  
Teaching Content ◽  
Education Theory ◽  
Culture Teaching

The theoretical bases for the thesis are cross-cultural foreign language education theory, systemic education theory and multimedia-assisted English teaching theory. At first, the thesis summarizes and analyzes every unit involving cultural knowledge in College English textbook Oxford English used in Shanghai at present, demonstrating the feasibility of culture teaching in the elementary stage of College English. Then based on systemic teaching theories, the thesis analyzes teaching aim, teaching demand, teaching environment, teaching content, teaching strategies, evaluative strategies and implementation of culture teaching. Next, the thesis designs specific courses to match daily teaching activities by way of collecting culture teaching materials, designing culture teaching content and relevant teaching strategies. When designing specific courses, I take advice from experts and teachers on the front, develop three teaching cases and use courseware for teaching practice.

scholarly journals Research on the Teaching Reform of College English Translation Under the Background of Curriculum Ideology and Politics

2021 ◽  
Vol 5 (12) ◽  
pp. 76-81
Author(s):  
Fanting Meng
Keyword(s):  
English Translation ◽  
Cultural Knowledge ◽  
Cross Cultural ◽  
Ideological And Political Education ◽  
College English ◽  
New Era ◽  
Cross Cultural Communication ◽  
Teaching Reform ◽  
Teaching Concept ◽  
The Status

“Curriculum ideology” is a new teaching concept that combines professional courses with ideological and political courses. At present, the teaching reform of ideological and political education has been launched in colleges and universities across the country. It is a major innovation in the field of education in the new era. With the continuous improvement of China’s opening to the outside world, there is also a strong demand for applied foreign language talents. As a course with elements of cross-cultural knowledge and foreign cultural system, college English translation must adapt to the macro requirements of the ideological and political concepts of college English courses as well as reform its teaching contents and methods. On this basis, this article analyzes the status quo of college English translation under the background of “curriculum ideology” and proposes ways to reform the teaching of college English translation, in order to break the limitations of traditional college English teaching, improve students’ learning efficiency, and further deepen the reform of translation teaching, and cultivate modern applied cross-cultural communication talents with high professional skills and political literacy.

Simulation of Chinese online teaching invocational colleges based on complex evolution and improved neural network

2020 ◽  
pp. 1-13
Author(s):  
Yang Mei
Keyword(s):  
Neural Network ◽  
Online Teaching ◽  
Social Research ◽  
Teaching Process ◽  
Network Algorithms ◽  
Teaching System ◽  
Transmission Problems ◽  
Vocational Colleges ◽  
Function Module ◽  
Realization Process

Because the teaching methods of Chinese teaching in higher vocational colleges are improper and the problems in the teaching process cannot be found in time, the teaching effect is not good and there are many difficulties in the teaching process of teachers. According to actual needs, based on complex evolution and improved neural network algorithms, this paper builds a Chinese online teaching system in high vocational colleges. After communication with users and social research, the model function module is determined, and the system performance is improved through the mapping optimization model to eliminate data transmission problems in the system operation, and the realization process of the system function module is shown in the form of a diagram. In addition, this paper designs a control experiment to verify the performance of the model and uses the traditional algorithm model as a control to start the test teaching and uses statistical methods to compare the teaching effects. The research results show that the teaching system constructed in this paper has certain advantages over the traditional model.

Adaptive Learning Algorithm for Cerebellar Model Articulation Controller: Neural Network Based Hybrid-Type Controller—Part I

2000 ◽  
Author(s):  
Magdy Mohamed Abdelhameed ◽  
Sabri Cetinkunt
Keyword(s):  
Neural Network ◽  
Control System ◽  
Adaptive Learning ◽  
Learning Algorithm ◽  
Cerebellar Model Articulation Controller ◽  
Neural Network Learning ◽  
Network Learning ◽  
Hybrid Type ◽  
Cmac Neural Network ◽  
Learning Technique

Abstract Cerebellar model articulation controller (CMAC) is a useful neural network learning technique. It was developed two decades ago but yet lacks an adequate learning algorithm, especially when it is used in a hybrid- type controller. This work is intended to introduce a simulation study for examining the performance of a hybrid-type control system based on the conventional learning algorithm of CMAC neural network. This study showed that the control system is unstable. Then a new adaptive learning algorithm of a CMAC based hybrid- type controller is proposed. The main features of the proposed learning algorithm, as well as the effects of the newly introduced parameters of this algorithm have been studied extensively via simulation case studies. The simulation results showed that the proposed learning algorithm is a robust in stabilizing the control system. Also, this proposed learning algorithm preserved all the known advantages of the CMAC neural network. Part II of this work is dedicated to validate the effectiveness of the proposed CMAC learning algorithm experimentally.

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