柳茂
新疆轻工职业技术学院 新疆乌鲁木齐市 830021
摘要:随着我国职业教育的快速发展,中外合作办学已成为我国职业教育体系的重要参与者,在借鉴和引入国外优质教育教学资源和全新教学理念方面发挥着重要作用。但中外合作办学涉及两种教育体系的融合与调适,从人才培养机制到学习方式都需要做出重大改变,否则难以达到预期的教学效果。本文以新疆轻工职业技术学院为例,以其从事中外合作办学的实践为切入点进行分析的同时探求高职院校中外合作办学模式优化的策略。
关键词:中外合作办学;教学效果;教学策略
现以新疆轻工职业技术学院中外合作会计专业学生为例进行分析。该校自2014年正式启动与英国南埃塞克斯学院的中外合作项目并招收第一届学生,基本模式为引入外方课程,采用外方模式,由中方教师双语授课,课程结束由中方内审进行质量监控后再经对方外审合格后认可课程并赋予学分。现以2019-20学年第二学期的外审情况作为说明:
一、外审基本情况:
1、外审对象: 17级中外合作会计班 10 人
18级中外合作会计班 18 人
2、外审课程/科目:
17级外审课程 B124 商业计划与市场营销 B123 财经入门
18级外审课程 B130 商业研究与定量分析 B119 商业环境
3、本次外审结果统计:
二、外审结果分析:
17级中外合作会计班已完成所有外方课程,所有课程成绩正态分布统计如下表:(数字表示获该等次人数)
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)
以上17级成绩等次分布情况说明学生成绩绝大多数处在“合格”档,此数据也侧面说明我方采用引入外方资源与模式进行合作办学的授课能力、教学效果和学生能力可以达到外方要求;但也清楚显示只有10%左右的学生能够达到良好,三年来无人达到“优秀”档。随附的18级成绩情况以及已毕业的16级学生成绩情况也处于类似状态。教师授课方式与学生学习方式存在某种形式的‘固化’,教学效果与师资能力还有待进一步提升,突破较为困难,造成这种局面的原因有以下几个方面:
1、现实原因:
(1)中外合作班级的课程比例较大学生课业负担较重,使得学生英方作业存在应付任务的情况。
(2)授课教师有松懈情绪,目标以满足英方最低要求为主,而非努力拔高学生成绩。
2、双语授课师生仍存在调适困难。
(1)学生学习现状:
中外合作项目按要求需要全英文授课,但按照学生接受能力及师资状况我院采取的是双语授课。根据对17、16和15三个年级共80人的调查发现:
![](data:image/png;base64,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)
该调查结果说明:
①我院中外合作专业学生无法达到全英授课标准;
②学生接受能力差异明显,教学难度增加;
因此我方授课全部采用双语模式,但此方式也存在重大弊端,即造成学生出现等候意识,只重视汉语部分而不重视英文部分,造成英汉脱节。解决此问题对授课教师的双语融合能力要求较高。目前我校中外合作项目教师团队构成如下:
财务专业背景(2人)+英语专业背景(8人)+管理专业背景(4人)
以上统计可见项目教学团队的学科比重不够合理,这导致能够完全承担双语融合授课的师资力量不足。
(2)教师对传统教学方法的改变缓慢。
传统双语教学的模式是以教师为主导,以英文教材为依据,逐部分进行讲解,学生被动地接受,没有自学的压力和动力,一味依赖教师讲授,把专业授课变成翻译课,这造成大多数学生在完成英方课业时无从下手,又缺乏有效的参考资料,学习效果低下。
应对现存问题的策略及建议:
1.将项目组定期教研活动制度化并纳入绩效考核。
进行项目组教研及培训十分必要,但这需要有一定的时间保障,同时也有必要打破分院和系部界限,培养中外合作专业教学团队意识并形成整体效应,因此建设规范和制度化的教研活动,在教学实践中相互沟通,交流经验,定期开展教研活动,加强信息交换十分必要。
2.优化‘专业内容’+‘英语’即CLIL交互式教学模式
在本校中外合作办学授课中基本参照“CLIL(专业内容和语言融合授课)”授课方式,但是在实践操作过程中并没有完全做到和执行,以至于没有调动起学生的学习积极性和自觉性,使学生对知识的掌握不透彻,在运用知识分析和解决问题上显得能力不足。因此,中方教师应当以专业为依托做好英语的引入,如此既可以有效改变“教”与“学”的剥离感,又可提高教学效果。
3.加强项目组团队教研力度。
就英方课程要求而言,涵盖面广,是以英语为基础进而学习商务管理及财务等方面的专业知识。这就要求授课教师具备以上各科的综合知识水平才能满足教学需要,因此项目团队必须加强团队建设并提升自己的研究能力,发现和解决新问题,做到以前瞻的视野和方法对待合作办学这一新事物,不断创新教学模式、教学理念和教学手段才能将引入的优质资源更好的惠及学生。
总之,中外合作办学近年来成为高职院校的办学特色和亮点,在各方努力下下,我校目前已成功培养了四届中英合作会计专业毕业生,积累了办学经验,为日后深化办学打下了良好的基础。但我校合作办学在师资力量、专业课程优化、工作方式方法及教学过程上还存在明显不足,各项业务的精细化也有待加强。日后在达到中外方教学要求的同时必须加强自身管理,不断创新合作办学理念、教学方式方法才能更好地为学生服务,推进中外合作办学取得更大成绩。
参考文献:
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作者简介:姓名:柳茂,民族:汉,籍贯:甘肃,职务/职称:讲师,学历:研究生,研究方向:教育/语言/教学法,单位信息(单位全名):新疆轻工职业技术学院