Students’ Error in Transforming Active Voices into Passive Voices in Simple Past Tense

Ratna Sari, Ihda Husnayaini, Supiah Supiah, Dody Sugiarto
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引用次数: 1

Abstract

This study was carried out to analyze errors made by eleventh grade students in transforming active voices into passive voices. Specifically, it was carried out to identify common errors and obtaining the causes of errors made by the students in transforming active voices into passive voices. The research used descriptive qualitative method. The data were collected through tests and interviews with an English teacher and a number of students. The data test was identified, classified, and analyzed by using Dulay’s surface strategy taxonomy and the causes of errors were analyzed by using Petter Hubbard’s theory. The research revealed two major findings, (1) the most common errors made by students was misformation, which was most frequently produced by the students with a total error of 247 or 52%. It is followed by an error in omission with a total error of 115or 24%. Misordering with 98 errors or 20%, and the lowest is addition with 19 errors or 4%, (2) Based on Petter Hubbard’s theory, mother-tongue interferences, overgeneralization, and error was encouraged by the learning materials and methods used causing those errors.
学生在一般过去时中主动语态转化为被动语态的错误
本研究旨在分析高二学生在主动语态转化为被动语态时所犯的错误。具体来说,就是找出学生在主动语态转化为被动语态过程中常见的错误,找出学生在主动语态转化过程中出现错误的原因。本研究采用描述性定性方法。数据是通过对一位英语老师和一些学生的测试和访谈收集的。采用Dulay表面策略分类法对数据测试进行识别、分类和分析,并采用Petter Hubbard理论分析误差产生的原因。研究发现了两个主要发现:(1)学生最常犯的错误是误读,误读最多的是学生,误读总错误率为247或52%。其次是遗漏误差,总误差为115或24%。(2)根据Petter Hubbard的理论,母语干扰、过度泛化和错误是导致这些错误的学习材料和方法所鼓励的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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