A Study of Chinese Undergraduate Students’ Attitudes toward Learning an Online English Course through MOOC at a Private University in Beijing

Zhang, Ruimeng; Tananuraksakul, Noparat

doi:10.48048/asi.2023.254160

Cited by 2 publications

(2 citation statements)

References 20 publications

(39 reference statements)

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“…This demonstrates that the internet has a crucial effect on the development of communicative competence in the context of the English language. For this reason, students need to take the lead in their own English language education by actively engaging with a variety of learning materials (Lekawael, 2017;Zhang and Tananuraksakul, 2023). Thus, we hypothesized as: H1: There is a significant effect of the internet on English Language Learning.…”

Section: Impact Of the Internet On English Language Learningmentioning

confidence: 99%

Impact of the internet on English language learning among university students: mediating role of academic self-efficacy

Wang,

Yasmin,

Akbar

2023

Front. Psychol.

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The internet is a valuable resource in a technologically evolved society. The extant literature suggests that their scientific and educational usages are still limited. The current study asserts that the internet can provide new learning environments and opportunities for Chinese university students, hence increasing their motivation to learn. Particularly, the current study considers this to be the case for learning a foreign language (English), which leads to more efficient and effective language learning experiences, as well as more positive attitudes toward the efficiency of the internet for educational purposes. Purposive and convenience sampling techniques were employed to gather data from 15 public and private Chinese universities (406 students), those who are currently enrolled in English language courses. The analysis was performed using partial least squares-structural equation modeling (PLS-SEM) on smart PLS 4 software. Results revealed that student’s attitude toward the use of internet positively and significantly influence English language learning. Moreover, the mediating variable academic self-efficacy positively and significantly mediates the relationship between students’ attitude toward use of internet and English language learning. The current study recommends that students’ academic self-efficacy in learning a new language can be enhanced by giving them opportunities to learn internet skills. Further, students’ confidence in their academic abilities can be boosted using student-centered teaching strategies.

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Section: Impact Of the Internet On English Language Learningmentioning

confidence: 99%

Impact of the internet on English language learning among university students: mediating role of academic self-efficacy

Wang,

Yasmin,

Akbar

2023

Front. Psychol.

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“…The paper contributes to educational reform by leveraging the capabilities of Internet technology to address the unique characteristics of students in intercultural communication classes [15,16]. A notable feature is the growth of enormous open online course system specifically tailored for English-inter-cultural communicationclasses, incorporating neural-networks to enhance the learning experience [17,18].…”

Section: Introductionmentioning

confidence: 99%

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

Deyi Li

2024

jes

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Numerous researchers are now concentrating on the English course on intercultural communication. Notwithstanding, these courses encounter several obstacles, including student variations in traditional English for cross-cultural instruction, developing students' cross-cultural communication skills, and improving the quality of instruction. To overcome these problems, in this manuscript, a Hamiltonian deep neural network (NN) approach is proposed for improving the teaching quality of massive open online course (MOOCs) based English course. Initially, data is given from English-language massive open online courses (MOOCs) teaching adult basic life support (ABLS) dataset. Afterward the data is fed to Switching Hierarchical Gaussian Filter. The pre-processing output is provided to the Hamiltonian Deep Neural Network (HDNN) used to improve the teaching quality of MOOC English course. The learnable of the optimized is using Coati Optimization Algorithm (COA). The proposed technique is executed in Python and the effectiveness of the proposed MOOCEC-HDNN method is improved by using various performances evaluating metrics like, teaching Efficiency, Robustness Gain, teaching quality and system Efficiency are analysed. The proposed MOOCEC-HDNN method is shows the higher teaching efficiency of 78%, Robustness Gain of 28dB and teaching quality 68% while comparing other existing methods such as massive open online course (MOOCs) based English course based on Gannet algorithm and Neural Network (MOOCEC-GA-NN), MOOCs based English course based on K-modes algorithm and Neural Network (MOOCEC-KMA-NN) and MOOCs based English course based on Conventional Neural Network (MOOCEC-CNN), respectively.

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A Study of Chinese Undergraduate Students’ Attitudes toward Learning an Online English Course through MOOC at a Private University in Beijing

Cited by 2 publications

References 20 publications

Impact of the internet on English language learning among university students: mediating role of academic self-efficacy

Impact of the internet on English language learning among university students: mediating role of academic self-efficacy

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

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