Using Artificial Intelligence (AI) in English Vocabulary Development for Higher Secondary School Students

Author:

Chingakham Dinachandra Singh1ORCID,Tamuk Kiran2

Affiliation:

1. Arunachal University of Studies

2. Govt. Higher Secondary School, Boleng. Siang District, Arunachal Pradesh

Abstract

Abstract

Artificial Intelligence (AI) has been popular in the industrial usage and information-technology field. The present study was about the application of AI in English vocabulary learning among high school grade 12 students. One hundred and twelve students took part in the empirical study. Six-week experimental classes were taught. A pre-test and post-test were given to collect English vocabulary proficiency scores. The data were analyzed using SPSS-26. The t-test of the post-test showed that there was a significant difference between the experimental group (AI users) and the control groups (learning in traditional method), with a p-value smaller than the threshold, p < .05, at a 95% Confidence Interval of the Difference. The finding concluded that AI could be used in English vocabulary learning. Schools and institutions could draw a strategic policy to integrate into school policy not to deride academic integrity.

Publisher

Research Square Platform LLC

Reference54 articles.

1. Ali Z (2020) Artificial intelligence (AI): A review of its uses in language teaching and learning. In IOP Conference Series: Materials Science and Engineering (Vol. 769, No. 1, p. 012043). IOP Publishing

2. Arora S (2022) Artificial Intelligence- A textbook of class X, Dhanpat Rai and Co. (P) Ltd (31 December 2022), 6–15, 28–34

3. Bengio S, Neven H, Yvon F (2005) Machine Learning for Multimodal Interaction: Second International Workshop, MLMI, Springer,(11–13 July 2005)

4. Beysolow T (2018) Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing, APress,(12 September 2018),(1),23–28

5. English teaching practice based on artificial intelligence technology;Bin Y;J Intell Fuzzy Syst,2019

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