大数据时代提升教师数据智慧研究

Research on Cultivation of Teachers爷Data-based Wisdom in Big Data Era

大数据分析已在一些国家应用到公共教育中，成为教育改革的重要力量。然而，目前有关数据智 慧的研究还比较薄弱。如何提升教师的数据智慧，使其具备在大数据时代开展教学活动的能力，成为急需解决 的问题。为了把握数据智慧的研究现状及最新发展，本研究在厘清数据智慧及相关概念的基础上，分析了大数 据时代教师专业发展的新态势，并对数据智慧的国内外研究文献进行了梳理。文献回顾发现，国外在提升教师 数据智慧方面构建了多种模型，其中美国开发的“ 数据智慧改进过程冶模型可为我国教师提供借鉴。该模型包 括“准备冶“探究冶和“行动冶三阶段，旨在帮助教师更好地利用数据确认常见的学生学习需求，生成和实施教学方 案，并衡量这些方案在提高学生成绩上的有效性。本文对该模型的实施步骤进行了说明，并以夏洛特—梅克伦 堡学校为例分析了该模型的应用。了解这一模型，对探索我国数据智慧研究的未来发展趋势和提升我国教师数 据智慧的研究有重要意义。

The big data analysis has been applied to public education in America and becomes an important force in education reforms. Teachers need data-based wisdom to use data to drive instruction. Data use has been promoted as an required ability for teachers in the era of Big Data. However， the field lacks a detailed understanding of how teachers actually use data to inform instruction wisely and the factors that shape this process. The research on teachers' data -based wisdom is still relatively weak now. How to improve teachers' data -based wisdom and make them have the ability to carry out teaching activities in the era of Big Data has become a common problem urgently needed to be solved.