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6 results on '"Peng, Nianfan"'

2. Model-based learning towards environment in cross-cultural communication: a mediating role of technology innovation acceptance in culture congruence and English language teaching for environmental education

Author

Peng, Nianfan, Chen, Xixi, Peng, Nianfan, and Chen, Xixi

Abstract

The effectiveness of English language teaching is a significant issue, especially in countries where English is the second language, like China, and this aspect needs researchers’ emphasis. Hence, this study deems to analyze the model-based learning toward a green environment and how it can impact green culture congruence and effective green culture adoption. It also examines the green culture congruence, and innovation technology acceptance role in the English language teaching for the environment, in the institutions of China. The study also examines the mediating impact of green culture congruence and effective green culture adoption among model-based learning towards the environment and English language teaching for environmental education. Also, it checks the mediating impact of innovation technology acceptance among green culture congruence and English language teaching for the environment in China. This article has used the primary data collected from students of English language institutions using survey questionnaires. The study has also employed the SPSS-AMOS to analyze the linkage among the variables. All hypotheses were significant to the designed framework. Further, this study will help guide the policymakers while making the policies related to improving English language teaching using model-based learning towards environment and technology innovation acceptance.

Published
2023

4. Performance evaluation of English learning through computer mode using neural network and AI techniques

Author

Peng Nianfan

Subjects
Statistics and Probability, Artificial neural network, business.industry, Computer science, 05 social sciences, General Engineering, 050301 education, 02 engineering and technology, Mode (computer interface), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, 0503 education
Abstract

Learning performance evaluation is an important part of computer English teaching. Through evaluation, students can understand whether they have reached the learning goals of a lesson, and what are their shortcomings, so that they can continuously improve and improve themselves against these shortcomings. Combining actual needs, based on neural network and artificial intelligence technology, this paper constructs a computer English learning performance evaluation model based on machine learning. The computer English learning performance evaluation system in this paper is constructed on the basis of auditory characteristics and introduces a wavelet entropy feature based on the best tree wavelet packet decomposition, and it is applied to the establishment of an adaptive model. Moreover, this paper uses controlled experiments to analyze the model performance and combines mathematical statistics to visually display the model effect. From the research results, it can be seen that the performance of the model constructed in this paper basically meets the expected requirements and actual needs.

Published
2021

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