Research on Data-driven Teaching Mode of Teachers

Wang Ping

doi:10.11648/j.si.20190706.15

Abstract

With the rapid development of smart campus and educational informatization, teaching activities are becoming more and more intelligent and scientific. When data science and education science are deeply integrated, teaching activities will be more precise and personalized. This study first summarizes the data types of middle school students in teaching, then explores the combination mode of student data and teacher teaching at home and abroad, and finally gives the implementation mode and scheme of data-driven teaching in teacher teaching. According to the implementation plan of data-driven teaching, teachers can use the data generated by students to achieve accurate teaching. On the one hand, it can improve the teaching efficiency of teachers.On the other hand, it can grasp the short board of students' performance and improve students' performance.

Highlights

With the rapid development of smart campus and educational informatization, teaching activities are becoming more and more intelligent and scientific
生数据管理平台等在教学活动中得到了广泛应用,学生利用这些资源进行学习的时,会产生行为数据,成绩数据等。教师可以分析这些数据,使教学变得更加精准。因此,教学范式正在从农业时代、工业时代的经验模仿和信息时代的计算辅助教学走向大数据时代的数据驱动的教学。[1] 我们应把学生数据融入到教师教学中,使教师教学从经验化、流程化向个性化、智能化转型,教育数据已经成为推动教育信息化和教育现代化发展的重要驱动力。
(3)由团队成员理解数据并确定优先问题确定了重点研究领域后,引导教师列出一些具体的研究问题(优先问题),这些问题决定图表展示的内容,比如教师想关注成绩的时间趋势表现;教师想要研究组群比较等。最后教师根据这些主题设定顺序,选择图表类型(条形图或折线图等)来展示数据,以便从图表中分析学生问题。

Summary

Introduction

With the rapid development of smart campus and educational informatization, teaching activities are becoming more and more intelligent and scientific. 目前“数据”意识在教育领域也在不断深入,2018年4 月18日,教育部印发了《教育信息化2.0行动计划的通知》, 无论是宏观的区域学校层面的信息化建设,还是微观的个人学习空间建设,教育信息化2.0倡导通过对相关学生数据进行分析,为管理,教学提供指导。随着技术在教育领域的不断渗透,各种在线学习平台、移动学习 APP 和学生数据管理平台等在教学活动中得到了广泛应用,学生利用这些资源进行学习的时,会产生行为数据,成绩数据等。教师可以分析这些数据,使教学变得更加精准。因此,教学范式正在从农业时代、工业时代的经验模仿和信息时代的计算辅助教学走向大数据时代的数据驱动的教学。[1] 我们应把学生数据融入到教师教学中,使教师教学从经验化、流程化向个性化、智能化转型,教育数据已经成为推动教育信息化和教育现代化发展的重要驱动力。

Results

Conclusion