This paper investigates how English learners appropriately select a vocabulary builder through analyzing several English-based builders and some books written in Japanese for those who seek upper-advanced vocabulary as research on this topic is limited. The analysis shows that some English-based books and Japanese books have similar difficult words for Eiken 1, and those to prepare for GRE collect more advanced words. In addition, since various types of books regarding the target vocabulary are available both in Japanese and English, learners can choose books most suited to their learning style. This may help advisers when consulting students who are studying for the SAT, GRE and Eiken Level 1.
This article explores the potential benefits and drawbacks of incorporating ChatGPT, an AI language model, into language learning and instruction. The author discusses the current debates surrounding ChatGPT's implementation in education, drawing on existing literature in the field of Computer-Assisted Language Learning (CALL). The article presents case studies examining the applicability of ChatGPT in enhancing language learners' performance in multiple-choice tests, writing, and mathematics queries for standardized tests. The author concludes that while ChatGPT has immense potential in advancing language acquisition, it is important for users to exercise critical discernment and for educators to continually update their understanding of information technology to ensure effective implementation.
This study aims to investigate ChatGPT's ability to comprehend input from non-native speakers, specifically those learning English as a second language, with Japanese speakers serving as the model population. The experiment examines how ChatGPT evaluates the difficulty levels of the Test of English for International Communication (TOEIC), which is widely taken by non-native English speakers of varying proficiency levels. This study also measures ChatGPA’s response to discourses produced by non-native speakers - one containing grammatical errors and the other incorporating sociolinguistic or strategic competence expressions. The findings indicate that ChatGPT demonstrates proficiency in lexical and grammatical features and can comprehend non-perfect grammatical discourses produced by non-native speakers. However, ChatGPT does not accurately perceive the varying degrees of difficulty experienced by non-native speakers. Moreover, while ChatGPT can comprehend sociolinguistic expressions when the context is clear, its understanding of other communication strategies employed by non-native speakers is relatively limited.
The objective of this paper is to visualize the world of statistics, particularly for those in fields that do not specialize in mathematics, “The map of statistics”. By providing an overview and understanding of the terminology used in various research studies, the author aim to serve as a guide for the practical use and acquisition of theoretical knowledge in statistics. The field of statistics is divided into five levels according to users: 1) those who use general statistics; 2) those who analyze statistical tests using software; 3) those with a basic understanding of elementary mathematics and probability theory who engage in practical applications; 4) those who have mastered mathematical statistics using advanced mathematics such as calculus and linear algebra and apply statistical theory; and 5) those who research statistics itself using measure theory. By visualizing each level of statistical theory, users can gain an understanding of the essentials of statistics tailored to their purpose, and see how certain concepts are deeply intertwined with mathematical logic as needed.
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