【作 者】：
吴 砥， 余丽芹， 李枞枞， 吴 磊
【关 键 词 】：
教育信息化； 教育信息化评估； 反思
【栏 目】：
理论探讨
【中文摘要】：
进入“十三五”以来，我国教育信息化发展逐步从重视学校网络建设和资源配置转为重视信息技术在教育教学中的深度应用、融合创新。在这一背景下，教育信息化的评估日益受到重视，以评估驱动教育信息化的深入发展成为越来越多地区、学校的普遍做法。开展教育信息化评估，能精准衡量教育信息化发展水平，对促进科学决策，指导后续发展具有重要意义。本文首先回顾了国内外关于教育信息化评估的相关研究，并从评估的价值、内容、方法三个方面对开展评估的思路进行了分析，然后介绍了作者近年来开展教育信息化评估的实践体会，最后提出了以评估驱动教育信息化发展的若干建议：一是明确评估意义，注重以评估作为驱动教育信息化持续快速发展的主要抓手；二是转换评估重点，由投入导向的教育信息化发展水平评估转为产出导向的绩效评估；三是调整评估思路，由单维度评估转向多元交叉评估；四是创新评估手段，拓展大数据等新兴技术在评估中的深度应用。
【英文摘要】：
Since the 13th five-year plan, the development of ICT in Education in China has gradually shifted from emphasizing the network construction and resource allocation to the in-depth application and fusion innovation of information technology in education. In this context, the evaluation of ICT in Education is increasingly valued and to evaluate the in-depth development of ICT in Education is becoming a common practice in many regions and schools. To carry out the evaluation of ICT in Education, which can measure the development level of ICT in Education accurately, is of great significance to promote scientific decision-making and guide further development. This paper first reviews the relevant studies of ICT in Education at home and abroad, analyzes the idea of conducting the evaluation from three aspects, namely the value, content, method , and then introduces the practical experience concerning evaluation in recent years, finally puts forward some suggestions to promote the development of ICT in education driven by evaluation. The first suggestion is to clarify the significance of evaluation, and regard it as the main driver for continuous and rapid development of ICT in education. The second is to shift the focus of evaluation from the investment-oriented development level to the output-oriented performance. The third is to adjust the thoughts of evaluation, moving from a single-dimension evaluation to multiple cross one. And the fourth stresses using innovative evaluation means to expand the deep application of emerging technologies such as big data in evaluation.