摘要
教育信息化2.0时代,学生信息意识逐渐由“物本位”向“人本位”转变、信息应用由“平面化”向“立体化”升级、信息伦理由“无序化”向“秩序化”演变。据此,以职教本科学生信息素养评价面临的重点和难点为抓手,以教育信息化2.0时代职教本科学生信息素养内涵的新定位,构建职教本科学生信息素养评价指标体系,并采用因子分析法进行验证。结果表明,评价指标体系具有较强信度与效度,能够客观评价职教本科学生信息素养状况,但需要根据实际变化不断完善。因此,建议从以下三方面进行改进:评价指标更为“立体化”与“特色化”;评价方法更为“多样化”与“合理化”;评价主体更为“层次化”与“多元化”。
In the era of educational informatization 2.0,students’information awareness is gradually shifting from“materialcentered”to“humancentered”.Information application is upgrading from“flat”to“threedimensional”,and information ethics is evolving from“disorder”to“order”.Accordingly,taking the key points and difficulties faced by the evaluation of information literacy of vocational education undergraduate students as the starting point,based on the new positioning of the connotation of information literacy of vocational education undergraduate students in the era of education informatization 2.0,the evaluation index system of information literacy of vocational education undergraduate students has been constructed,and factor analysis is used for verification.The results show that the evaluation index system has strong reliability and validity,and can objectively evaluate the information literacy of vocational education undergraduate students,but it needs to be continuously improved according to the actual changes.Therefore,it is suggested to make improvements from the following three aspects:the evaluation indicators are more“threedimensional”and“specialized”;the evaluation methods are more“diversified”and“rationalized”;the evaluation subjects are more“hierarchical”and“diversified”.
作者
谢玮玉
曾俊
XIE Weiyu;ZENG Jun(School of New Media Technology,Hunan Mass Media Vocational and Technical College,Changsha 410100,China;School of Marxism,Xiangtan University,Xiangtan 411105,China)
出处
《苏州市职业大学学报》
2024年第3期40-44,51,共6页
Journal of Suzhou Vocational University
基金
湖南大众传媒职业技术学院校级科研项目(23YJ05)
湖南大众传媒职业技术学院校级教育教学改革研究项目(23JY14)。
关键词
职教本科
学生信息素养
教育信息化2.0
因子分析法
问卷调查法
undergraduate vocational education
students’information literacy
education informatization 2.0
factor analysis
questionnaire method