创新创业理论研究与实践 ›› 2020, Vol. 3 ›› Issue (8): 124-127.

• 模式探索 • 上一篇    下一篇

基于大数据平台的初中生物试卷讲评课教学模式创新

陈慧慧, 曾如钰, 程欢, 张曼曼, 张海燕   

  1. 河南大学,河南开封 47500
  • 发布日期:2020-06-16
  • 作者简介:陈慧慧(1995-),女,河南商丘人,硕士在读,研究方向:基础教育教学,教育信息化,试卷讲评课。
  • 基金资助:
    项目名称:河南大学研究生优质示范课程; 河南大学2019年教学改革项目

Research on the Innovation of Teaching Mode of Junior Middle School Biology Examination Paper Teaching and Evaluation Based on Big Data Platform

CHEN Huihui, ZENG Ruyu, CHENG Huan, ZHANG Manman, ZHANG Haiyan   

  1. He’nan University, Kaifeng He’nan,47500, China
  • Published:2020-06-16

摘要: 试卷讲评课作为课堂教学中最重要的课型之一,是教学环节中必不可少的一环。通过试卷讲评,既能够对前一阶段的教师教学成果和学生学习成果进行展示,又能对教师接下来的课堂教学和对学生的管理等方面给予指导,其重要性不言而喻,但目前试卷讲评课普遍被上成“对答案”课,这样的试卷讲评课效率非常低下。随着教育信息化的提倡,教育大数据也随之进入大众视野,纵观整个教育界,试卷无疑是最适合进行大数据应用的。故该文旨在通过大数据平台挖掘试卷背后的丰富信息并应用于试卷讲评课课堂教学,尝试创建一个将大数据试卷分析与试卷讲评课结合起来的新型试卷讲评课模式。激发学生学习兴趣,提高试卷讲评课效率。

关键词: 大数据, 试卷分析, 初中生物, 试卷讲评课教学

Abstract: As one of the most important class types in the classroom teaching, the examination paper lecture is an essential part of the teaching process. It is self-evident that the paper comment can not only show the teaching achievements and students' learning achievements of the previous stage, but also give guidance to teachers' next classroom teaching and students' management, etc., but at present, the paper comment class is generally called "answer to answer" class, so the efficiency of the paper comment class is very low. With the promotion of education informationization, education big data also enters the public vision. Throughout the whole education field, the test paper is undoubtedly the most suitable for big data application. Therefore, the purpose of this paper is to mine the rich information behind the test paper through the big data platform and apply it to the classroom teaching of the test paper lecture, trying to create a new model of the test paper lecture that combines the analysis of the big data test paper with the test paper lecture. Stimulate students' interest in learning and improve the efficiency of test paper and lecture evaluation.

Key words: Big data, Test paper analysis, Junior high school biology, Test Paper Lecture

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