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Using Natural Language Processing Techniques to Address the Bilingual Teaching Challenges in Education and its Benefit Analysis

LIN, HENG YOU
Graduate Institute of Data Science, Taipei Medical University
E-mail:m946111008@tmu.edu.tw

YEH, WEN CHAO
Institute of Information Systems and Applications, National Tsing Hua University
E-mail:wyeh@m109.nthu.edu.tw

CHANG, YUNG CHUN
Graduate Institute of Data Science, Taipei Medical University
E-mail:changyc@tmu.edu.tw

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Abstract

With the trend of internationalization in the education field, the composition of students in the classroom has shifted to a mixture of local and international students, creating a dilemma for instructors in terms of language choice. Therefore, this study developed a new “bilingual subtitle digital video teaching material” to help both local and international students overcome language barriers and restrictions in time and space. The study was conducted over a semester, with a total of 18 weeks and 44 students participating in two courses. Quantitative questionnaires were used for data analysis, and descriptive statistics and independent sample t-tests were employed to examine the effectiveness of the teaching materials. The results showed that international students received good learning assistance through the bilingual subtitle digital video teaching material, and all students showed significant improvements in learning outcomes and motivation. Thus, the development and application of this teaching material effectively solved the teaching dilemma.

Keywords :Digital Learning, Machine Learning, Learning Achievement