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All Journal MANDARINABLE: Journal of Chinese Studies ABISATYA: Journal of Community Engagement
Kusumaningtyas, Dani Putri Septi
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Physics Social Sciences

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The Effects of Learning Mandarin Online with a Native Lecturer to University Students’ Anxiety Sandyaningrum, Juairiah Nastiti; Kusumaningtyas, Dani Putri Septi
Mandarinable: Journal of Chinese Studies Vol. 2 No. 2 (2023): MANDARINABLE: Journal of Chinese Studies
Publisher : Published by Confucius Institute UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/mandarinable.v2i2.947

Abstract

The Diploma Mandarin Language Study Program at UNS transitioned to online learning as an alternative to face-to-face instruction following the COVID-19 pandemic. Foreign language learning, including Mandarin Chinese, typically involves native speakers as instructors. However, online learning with native speakers can inadvertently result in student anxiety. To address this issue, the program collaborated with the UNS Confucius Institute to bring native lecturers onboard. Nevertheless, certain native lecturers encountered visa-related challenges that prevented them from teaching in a face-to-face setting. Inspired by the post-COVID online learning landscape, the Study Program formulated a policy to continue certain Chinese language courses online.This study aims to analyze the impact of online Chinese language learning with native lecturers on the levels of anxiety among Diploma Mandarin Language students. A quantitative approach was employed, utilizing a case study design and data collection techniques, including observation and questionnaires. The research seeks to contribute theoretically by addressing the gaps in the literature related to student anxiety during online Mandarin learning with native speakers. The study involved 30 randomly selected students from the Diploma Mandarin Language classes of 2021 and 2022 at UNS. The results of this study indicated that 73.33% of the respondents experienced anxiety while participating in online learning with native instructors. The types of anxiety included reduced learning conditions, diminished self-efficacy, and decreased learning effectiveness.
Pengaplikasian Laman Korpus Kosakata Industri Bahasa Mandarin untuk Meningkatkan Kompetensi Penerjemah di Dunia Industri Nuratri, Ruth Kiana; Kusumaningtyas, Dani Putri Septi; Rahayu, Kristina Indah Setyo; Hasel, Clarosa Amanda; Sandyaningrum, Juairiah Nastiti
ABISATYA : Journal of Community Engagement Vol. 3 No. 2 (2025): ABISATYA: Journal of Community Engagement
Publisher : Center for Community Service and Science and Technology Marketing - The Institute for Research and Community Service Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Mandarin language corpus has become an essential resource for enhancing translator competence, particularly amid the growing industrial cooperation between Indonesia and China. The availability of technical vocabulary sources remains limited, creating a gap between academic proficiency and the demands of professional translation in industry. This community service program aims to develop an online corpus of Mandarin industrial vocabulary as an effort to provide standardized terminology resources based on authentic data. The implementation methods include mapping user needs, collecting vocabulary from 30 undergraduate theses and student internship reports from 2021–2024, developing the digital platform, and conducting training on its use. A total of 4,221 vocabulary items were compiled and integrated into the corpus, equipped with search features based on hanzi, pinyin, and definitions. The results show that the corpus platform improves the accuracy of technical document translation, accelerates terminology retrieval, and strengthens both thematic and instrumental competencies of translators. This digital corpus has proven effective in supporting translation needs in academic and industrial settings.
Co-Authors Hasel, Clarosa Amanda Kristina Indah Setyo Rahayu Nuratri, Ruth Kiana Sandyaningrum, Juairiah Nastiti