With a growing number of foreign language studies on proficiency outcomes,it is imperative to address the challenge of measuring students’proficiency development in a language program where standardized proficiency t...With a growing number of foreign language studies on proficiency outcomes,it is imperative to address the challenge of measuring students’proficiency development in a language program where standardized proficiency testing is not readily available.This article reports administering a Chinese elicited imitation test(EIT)by an instructor to track students’global oral proficiency development in a small language program in a mid-size U.S.public university.The test results from the EIT of second language(L2)Chinese suggest that this tool can provide the instructor with valuable insights into students’oral proficiency.This study also discusses the potential practical value of using this EIT in a language program with limited resources for standardized proficiency assessment.The hope is that this study will encourage language educators who are not already doing so to start using empirical evidence from a valid and reliable proficiency measurement tool to reflect on,improve,and guide their instructional practices.展开更多
针对目前尚未存在有效的中文文本纠错软件测试用例最小化方法的情况,设计了两种中文文本纠错软件测试用例集最小化方法:基于多目标遗传算法的中文文本纠错软件测试用例集最小化方法(Minimization Method based on Multi-objective Genet...针对目前尚未存在有效的中文文本纠错软件测试用例最小化方法的情况,设计了两种中文文本纠错软件测试用例集最小化方法:基于多目标遗传算法的中文文本纠错软件测试用例集最小化方法(Minimization Method based on Multi-objective Genetic Algorithm of Test case for Chinese text error Correction Software,MMG-CCS)和基于TextRank模型的中文文本纠错软件测试用例最小化方法(Minimization Method based on TextRank of Test case for Chinese text error Correction Software,MMT-CCS).MMG-CCS基于问题特点设计了一种中文文本纠错软件测试用例集覆盖度模型,并将测试用例集大小及覆盖度作为目标函数,为了高效求解该问题,MMG-CCS同时对遗传算子进行了改进.此外,MMT-CCS方法能将测试用例集最小化问题映射为图解问题,并根据问题特点对TextRank模型进行了针对性改进.实验结果表明,MMG-CCS和MMT-CCS对测试用例集的缩减程度高,且在不同中文文本纠错软件上对于不同中文文本纠错软件测试用例集均能保持相同的测试效果.展开更多
文摘With a growing number of foreign language studies on proficiency outcomes,it is imperative to address the challenge of measuring students’proficiency development in a language program where standardized proficiency testing is not readily available.This article reports administering a Chinese elicited imitation test(EIT)by an instructor to track students’global oral proficiency development in a small language program in a mid-size U.S.public university.The test results from the EIT of second language(L2)Chinese suggest that this tool can provide the instructor with valuable insights into students’oral proficiency.This study also discusses the potential practical value of using this EIT in a language program with limited resources for standardized proficiency assessment.The hope is that this study will encourage language educators who are not already doing so to start using empirical evidence from a valid and reliable proficiency measurement tool to reflect on,improve,and guide their instructional practices.
文摘针对目前尚未存在有效的中文文本纠错软件测试用例最小化方法的情况,设计了两种中文文本纠错软件测试用例集最小化方法:基于多目标遗传算法的中文文本纠错软件测试用例集最小化方法(Minimization Method based on Multi-objective Genetic Algorithm of Test case for Chinese text error Correction Software,MMG-CCS)和基于TextRank模型的中文文本纠错软件测试用例最小化方法(Minimization Method based on TextRank of Test case for Chinese text error Correction Software,MMT-CCS).MMG-CCS基于问题特点设计了一种中文文本纠错软件测试用例集覆盖度模型,并将测试用例集大小及覆盖度作为目标函数,为了高效求解该问题,MMG-CCS同时对遗传算子进行了改进.此外,MMT-CCS方法能将测试用例集最小化问题映射为图解问题,并根据问题特点对TextRank模型进行了针对性改进.实验结果表明,MMG-CCS和MMT-CCS对测试用例集的缩减程度高,且在不同中文文本纠错软件上对于不同中文文本纠错软件测试用例集均能保持相同的测试效果.
