Development and Application of MOOC System for English Intercultural Communication Courses Using Neural Network

Abstract

Presently, many researchers are focusing on the English intercultural communication course. However, these courses face serious challenges, such as individual student variances in conventional English cross-cultural teaching, fostering students’ cross-cultural communication abilities, and enhancing teaching quality. These problems need to be solved; therefore, this paper aims to explore the development and application of the Massive open online courses (MOOCs) system in the English cross-cultural communication course based on neural networks. Firstly, the overall function modules of the MOOC system for the English intercultural communication courses are described, with emphasis on the student function module, teacher function module, administrator function module, and system database design of the MOOC system. Second, the MOOC system’s teaching technique in an English intercultural communication course is based on a genetic algorithm, and the MOOC system’s teaching quality index in an English intercultural communication course is chosen using principal component analysis. We conducted several tests to demonstrate that the MOOC system of the English intercultural communication course using the neural network suggested in this work is resilient and may successfully increase teaching quality. The experiment proves that the MOOC system of the English intercultural communication course based on the neural network developed in this paper has efficient results as compared to existing studies. In addition, it can effectively improve the teaching quality and can train students’ intercultural communication skills and their ability to adapt to intercultural communication.

Massive Open Online Course (MOOCs) English Courses Based On Hamiltonian Deep Neural Network

“…The experimental result of proposed MOOCEC-HDNN method is discussed in this section.. Then, proposed technique is simulated utilizing Python under several performance metrics. The obtained outcomes of proposed MOOCEC-HDNN are compared with existing MOOCEC-CNN [21], MOOCEC-GA-NN [22] and MOOCEC-KMA-NN [23] models.…”

“…Jiang and Hou [21] have suggested to discover the application and growth of the neural network-based MOOCs system for the English course on cross-cultural communication. First, the general function components of the MOOC system were explained; with a focus on the system database design, student function module, administrator function module, and teacher functional module, for EICC.…”

“…Figure 2 to 7 depicts simulation outcomes of proposed MOOCEC-HDNN technique. Then, the MOOCEC-HDNN is compared with three existing MOOCEC-GA-NN [21], K-12-ML-PTL-UA [22] and FNN-PTL-UA [23] models respectively. Initially, the efficiency of the proposed method is starts with 60% then they increases to 78% at 0 to 35 sec.…”

Assessment Model Construction of International Students’ Intercultural Adaptation Based on Dual Attention Graph Convolutional Network

“…Many studies were proposed in the literature concerning the international students intercultural adaptation; this review covers a few current works, Jiang and Hou [21] have suggested that creation and implementation of a neural network-based vast system of open online courses for English-language intercultural communication courses. to investigate the enlargement and implementation of the MOOCs platform in the English neural network course-based cross-cultural communication.…”

A Data Mining-Based Approach to Managing Intercultural Teaching Activities in Online Classrooms

“…The intercultural teaching activities in online classrooms open up a window for students to know about the world, so that they can view and treat different cultures and ideas with an open mind [11,12]. The intercultural exchanges can not only drive the personal growth of students, but also build a bridge for international educational cooperation and cultural exchange [13][14][15]. Systematically researching the intercultural teaching activities using scientific methods such as data mining can provide data evidences for educational administrators and decision makers, so that more accurate and efficient teaching activities can be designed and implemented [16,17].…”