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核心素养视阈下基于深度学习理论的汉语言文学(师范)专业本科课程过程性评价模式探究

Exploring the Process Evaluation Model of Undergraduate Courses in Chinese Language and Literature(Teacher Education)Majors Based on Deep Learning Theory from the Perspective of Core Literacy
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摘要 21世纪的教育是指向核心素养的教育。核心素养视域下,汉语言文学(师范)专业的教学不仅要立德树人,注重汉语言文学专业基本知识与基本技能的传授,更要重视学生思辨能力、职业道德、中学语文教育教学能力等必备品格和关键能力的培养。量化考核及终结性考核为主导的评价模式下,多数学生的学习处于浅层状态,不利于核心素养的养成。过程性评价模式契合深度学习所具有的学习过程视角下的理解与建构、学习效果视角下的迁移与应用、学习目的视角下的自主与终身等特征。文章以深度学习理论为指导,从评价标准和考核内容两个方面对汉语言文学(师范)专业过程性评价模式做以探索。 Education in the 21st century is oriented towards core competencies.From the perspective of core competencies,the teaching of Chinese language and literature(teacher training)majors should not only cultivate morality and cultivate talents,but also focus on imparting basic knowledge and skills of Chinese language and literature majors.It is also important to cultivate students'critical qualities and abilities,such as critical thinking ability,professional ethics,and middle school Chinese language education and teaching ability.Under the evaluation mode dominated by quantitative assessment and summative assessment,most students'learning is in a shallow state,which is not conducive to the development of core competencies.The process evaluation model fits the characteristics of deep learning,such as understanding and construction from the perspective of learning process,transfer and application from the perspective of learning effectiveness,and autonomy and lifelong learning from the perspective of learning purpose.Therefore,guided by the theory of deep learning,this study explores the process evaluation model of Chinese language and literature(teacher education)major from two aspects:evaluation criteria and assessment content.
作者 杨允 李琪 YANG Yun;LI Qi(School of Literature,Bohai University,Jinzhou,Liaoning 121013,China)
机构地区 渤海大学文学院
出处 《牡丹江教育学院学报》 2023年第8期40-43,67,共5页 Journal of Mudanjiang College of Education
基金 渤海大学2022年度教学改革项目“核心素养视阈下基于深度学习理论的汉语言文学本科课程过程性评价研究”阶段性成果(项目编号:BHUXJGB2022065)。
关键词 汉语言文学 深度学习 过程性评价 核心素养 Chinese language and literature Deep learning Process evaluation Core competencies
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