"VocabGenius: Machine Learning-Driven Vocabulary Learning System" (KEY IJP************711)

• Dr V V Subba Rao,Dr K Pavan Kumar

Abstract

The vocabulary of a language is the collection of words used in that language. Vocabulary learning in the English language plays a crucial role in mastering the language. The expansion of learnersvocabulary is linked to both their own efforts and the tools used to facilitate learning. Better English vocabulary learning software can increase learners passion for studying as well as their learning efficiency. Therefore, this paper aims to explore an adaptive learning system for English vocabulary based on machine learning.Initially, it explains the primary modules of the English vocabulary adaptive learning system, as well as the systems general design and database analysis. Subsequently, the paper examines the AdaBoost algorithm, where the key parameter is conditional probability, primarily used to measure learners cognitive adaptation to English learning content. The fitness level will be updated once learners finish the selection of English vocabulary learning content, which is known as training. This fitness level will gradually change through training to push relevant English vocabulary learning material, thus completing the adaptive learning system for English vocabulary based on machine learning. Experimental results show that the proposed learning system outperforms previous approaches in terms of learning efficiency, scientific rigor, and reliability.