Abstract
This paper elucidates how to teach English effectively to engineering students at a Japanese College of Technology under the influences of generative AI. More students, particularly those of a technological college tend to employ generative AI when they study English in their busy academic schedule. What seems considered important in this era of generative AI is time-efficiency for those students who would like to acquire comprehensive skills of English with limited amount of time. This study questions how much time can be saved when learning foreign languages, by explaining an approach taken in teaching basic English classes to 2nd
year students at National Institute of Technology, Gunma College in 2025-2026. This is not an approach to teach students a time-efficient way to learn English by using generative AI, but an effective way to do so by using ones’ abilities to analyze English sentences. Using their abilities to analyze English sentences and to perceive them precisely, they proceed the path to become fluent in English with their knowledge of it built and integrated inside them.
Both authors employed this approach in teaching English to 2nd year students there in 2025-2026 English courses. “English A,” instructed by Takeshi KUMAGAI, is usually focusing on developing English reading skills while “English B,” instructed by Yuriko KUMAGAI, is focusing on having students master the basic grammar of English. Twice a week throughout the year, those students analyzed many English sentences on texts closely, using this approach, thus gradually acquired some level of English comprehension skills to read English sentences correctly and to produce English sentences decently.
First, we describe the purpose and background of this study. The next chapter explains the English teaching approach using“sentence analysis using symbols to distinguish part-of-speech in English sentences.” Chapters 4 and 5 describe the actual teaching
methods used in “English A” and “English B” classes at the school. Finally, we analyze how this approach helped the students acquire effective English learning methods.
Some of the 2nd year students, mostly 16 or 17 years old, among the students provided this English study method have already taken the TOEIC, and many of them achieved high scores of more than 400. The average score all the Technological college students achieved in 2024 aged 15-22 is 386, according to TOEIC Association; This is the outstanding result of this approach after comparing the two figures.
