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针对葡萄牙母语者汉语发音教学:结合数据科学与AI的优化方法

EasyChair Preprint 14809

7 pagesDate: September 11, 2024

Abstract

本文旨在通过融合数据科学与人工智能技术,提升对葡萄牙语母语者的汉语发音教学。针对这些学习者在声调发音上遇到的挑战,本研究采用三组对比分析方法:人机协作、人际互助以及利用AI工具的个人自助。研究结果揭示了每种方法的优势与局限。本研究的意义在于:它突出了人机协作时代的特点,强调了从数据科学角度优化汉语发音教学的必要性和重要性,并向汉语作为外语(CFL)领域的教育者和研究人员预示,大数据与AI将对CFL教学乃至整个教育领域产生深远影响。

Keyphrases: AI Integration, CFL (Chinese as a foreign language), Chinese pronunciation instruction, Data Science, Portuguese-speaking learners, human-machine collaboration., tone mispronunciation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:14809,
  author    = {Zhang Jin Ping and Xiaohui Zou},
  title     = {Optimizing Chinese Pronunciation Instruction for Portuguese-Speaking Learners: a Data Science and AI-Integrated Approach},
  howpublished = {EasyChair Preprint 14809},
  year      = {EasyChair, 2024}}
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