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This article focuses on the study of errors in deviant conjunctions based on the HSK corpus, aiming to reveal the types, characteristics, and reasons of errors in deviant conjunctions that learners encounter when learning Chinese, and to propose countermeasures and suggestions. The study used error analysis, statistical analysis, and corpus analysis methods to analyze the biased conjunctions of students from Level 3 to Level 6 in the HSK essay corpus. Six types of relationships were summarized, including causality, hypothesis, condition, turning point, concession, and purpose. Based on the analysis of these partial positive conjunctions, their laws and characteristics were revealed. Research has found that common types of errors include misuse, misplacement, redundancy, and omission errors, which are caused by the use of correct conjunctions themselves, learners themselves, and the teaching process. In order to help students better master correct conjunctions and reduce errors, corresponding strategies and suggestions have been proposed, including teachers playing a leading role, strengthening ontology knowledge, students strengthening review, increasing interest, optimizing teaching processes, improving methods, and selecting appropriate textbooks. This study has certain practicality and universality, and can provide meaningful references for students' Chinese language learning and the development of teaching Chinese as a foreign language. Through the analysis of the HSK corpus, this article found that learners have various types and characteristics of errors when learning positive conjunctions. At the same time, this article proposes corresponding countermeasures and suggestions to help teachers and students better cope with the issue of bias. However, there are still some shortcomings in this study. Firstly, the sample size of this article is relatively small, which may not fully reflect the overall situation of learners' errors in writing. In order to more accurately grasp the panorama of Mastery learning 'errors, follow-up research needs to expand the sample size and increase data sources. Secondly, the survey and research on learners is not comprehensive enough. There may be differences in the types and characteristics of errors among learners of different ages, educational backgrounds, and cultural backgrounds, and more comprehensive and in-depth research is needed. Therefore, subsequent research can analyze from a deeper perspective in order to better understand the essence of learner bias. |
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