利用人工智能驱动的 Oyomi 应用程序,在独角鲸学习中丰富对日语语篇的语法理解

Nisrina Ishmah Mahira, Iswi Nur Pratiwi, Evlyn Jane Putri, Sevia Dwi Yanti, Najla Putri Afifah, Daffala Viro Hidayat, Husni Mubarok Ramadhan, Humannisa Rubina Lestari
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引用次数: 0

摘要

本研究的重点是 Oyomi 应用程序对日语词类(语篇)和句子结构理解的影响。研究的主要问题是对高效语言学习工具的需求。研究的目的是探索人工智能(AI)在应用程序中对提高 Dokkai 学习效果的作用。研究方法包括全面分析有助于 Dokkai 学习的两个主要特征、人工智能技术的应用,以及传统学习方法与人工智能驱动的移动学习方法之间的比较。数据收集包括简单的线性回归统计分析,使用 F 检验和相关系数来衡量人工智能驱动的 Oyomi 应用程序的使用与独海学习中对词类的理解之间的关系。F 检验结果为 0.01 < 0.05,表明两者之间有显著的关系;相关系数为 0.8,表明两者之间的关系非常密切。这些研究结果表明,将人工智能整合到 Oyomi 等语言学习应用程序中,可以提供更高效、更有效的学习体验,尤其是在日语阅读理解方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enriching Grammatical Understanding of Using Japanese Part of Speech in Dokkai Learning with the AI-Powered Oyomi Application
This research focuses on the impact of the Oyomi application on the comprehension of Japanese word classes (part of speech) and sentence structures. The primary issue addressed is the need for efficient and effective language learning tools. The objective is to explore the role of artificial intelligence (AI) within the application in enhancing Dokkai learning. The methodology encompasses a comprehensive analysis of the two principal features contributing to Dokkai learning, the utilization of AI technologies, and a comparison between traditional learning vs AI-powered mobile learning methods. Data collection involved simple linear regression statistical analysis using an F-test and correlation coefficient to gauge the relationship between the usage of the AI-powered Oyomi application and the comprehension of word classes in Dokkai learning. The F test results of 0.01 < 0.05 indicate a significant contribution and a correlation coefficient of 0.8 means the strength of the relationship is very strong. These findings show that AI, when integrated into language learning applications like Oyomi, can provide a more efficient and effective learning experience, especially in Japanese reading comprehension.
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