Author(s)

Fang Zhang ¹

Affiliation(s)

¹ School of English Language and Culture, Xi'an Fanyi University, Xi'an, Shaanxi Province, China

Corresponding Author

Fang Zhang

ABSTRACT

English teaching evaluation is based on the objectives of English courses. In the context of China's economic development, English teaching evaluation is also constantly undergoing reform and innovation. To make the evaluation method of English teaching develop better, advanced evaluation techniques must be used in English teaching evaluation to ensure its effectiveness. The article suggested a novel approach to evaluate English teaching, which was based on computer multimodal artificial. The naive Bayesian model built in this study was based on the evaluation of English teaching and was designed in accordance with the features of artificial intelligence. An intelligent English teaching assessment model has been created by fusing the pertinent theories of English classroom teaching evaluation with the application of instances. Through the correlation analysis of Cronbach α coefficient and credibility, it was found that Cronbach α coefficient was above 0.95. It showed that the evaluation was highly reliable, which had certain reference value for the evaluation and analysis of current English classroom teaching.

KEYWORDS

English Teaching Index Evaluation; Artificial Intelligence Technology; Computer Multimodality; College English Teaching Evaluation

CITE THIS PAPER

Fang Zhang, Research on Evaluation Algorithm of English Teaching Index Based on Computer Multimodal Artificial Intelligence Technology. Journal of Artificial Intelligence Practice (2025) Vol. 8: 15-27. DOI: http://dx.doi.org/10.23977/jaip.2025.080203.

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