教师语料库素养感知与语料库融入课堂教学意向的调查研究

IF 4.6 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Recall Pub Date : 2022-11-18 DOI:10.1017/S0958344022000180
Qing Ma, M. Chiu, Shanru Lin, Norman B. Mendoza
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引用次数: 5

摘要

摘要鉴于语料库语言学在语言学习中的重要性,有人呼吁将语料库培训纳入教师教育计划。然而,培训应针对哪些知识和技能的问题仍然不清楚。因此,我们提出并测试了一个衡量教师感知语料库素养(CL)及其子技能的五个组成部分的理论框架:理解、搜索、分析以及语料库的优势和局限性,从而加深了我们对教师语料库培训的测量和结果的理解。此外,我们还假设CL教师与他们在课堂教学中使用语料库的意图有关。具体而言,183名教师和实习教师接受了语料库培训,以发展他们的CL,然后完成了一项调查,以测量他们的CL和在Likert量表项目中使用语料库教学的意图,以及开放式问题。验证性因子分析表明,使用上述五个子因子的CL的层次因子结构最符合数据。此外,结构方程模型表明,CL与参与者将语料库融入课堂教学的意图呈正相关。虽然这五项技能对教师来说都很重要,但应该更加努力地培养他们的语料库搜索和分析技能,这可以被视为语料库培训的“面包和黄油”。
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Teachers’ perceived corpus literacy and their intention to integrate corpora into classroom teaching: A survey study
Abstract Given the importance of corpus linguistics in language learning, there have been calls for the integration of corpus training into teacher education programmes. However, the question of what knowledge and skills the training should target remains unclear. Hence, we advance our understanding of measures and outcomes of teacher corpus training by proposing and testing a five-component theoretical framework for measuring teachers’ perceived corpus literacy (CL) and its subskills: understanding, search, analysis, and the advantages and limitations of corpora. Also, we hypothesised that teacher CL is linked to their intention to use corpora in classroom teaching. Specifically, 183 teachers and student teachers received corpus training to develop their CL and then completed a survey to measure their CL and intention to use corpora in teaching in Likert-scale items together with open-ended questions. Confirmatory factor analysis indicated that a hierarchical factor structure for CL using the aforementioned five subfactors best fitted the data. Moreover, structural equation modelling indicated that CL is positively linked to the participants’ intention to integrate corpora into classroom teaching. While all five subskills are important for teachers, greater effort should be made to develop their corpus search and analysis skills, which can be viewed as the “bread and butter” of corpus training.
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Recall
Recall Multiple-
CiteScore
8.50
自引率
4.40%
发文量
17
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