期刊文献+

成绩大数据在高师院校生物科学专业课程群建设中的应用研究——以洛阳师范学院为例 被引量:1

Research on the Application of Big Data Based on the Achievements in the Construction of Biological Science Curriculum Group in Normal Universities——Take Luoyang Normal University as an Example
下载PDF
导出
摘要 对某高师院校生物科学专业师范生专业课程进行成绩大数据分析,对其学科基础课程、专业核心课程、教师教育课程分类进行课程成绩关联度分析,评估其课程群建设质量.数据分析发现生物科学专业的基础课程和专业课程之间缺乏有效联系,知识层次不分明,建议根据知识体系和教学目标分类优化课程组合,合理安排开课顺序;教师教育课程存在实践能力培养不足的问题,建议增加实践环节比例,加强技能技巧的实践培养. This study analyzes the academic achievement of the biological science majors in a normal university based on the big data of their test scores of major courses,the relevance among biological science major’s basic courses,core professional courses and the classification of teacher education courses.The data analysis shows that the connection between the basic courses and the professional courses is not effective,and there is no distinct classification between the knowledge levels.It is suggested to optimize the integration of courses in accordance with the classification of knowledge system and teaching objectives,and reasonably arrange the sequence of courses.The data analysis also reveals the insufficiency in training of practical ability in teacher education courses.So it is suggested to increase the proportion of practical training to strengthen the training of practical skills.
作者 郭向萌 Guo Xiangmeng(School of Life Science,Luoyang Normal University,Luoyang 471022,China)
出处 《洛阳师范学院学报》 2020年第2期72-75,共4页 Journal of Luoyang Normal University
基金 河南省教师教育课程改革研究项目(2017-JSJYYB-078)
关键词 成绩大数据 生物科学专业 课程群建设 big data of test scores biological science majors course group construction
  • 相关文献

参考文献2

二级参考文献10

共引文献97

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部