对大数据支持的学习分析与评价的需求调查——基于教师的视角

发布时间：2018-03-13 14:27

本文选题：大数据　切入点：学习分析与评价　出处：《现代远距离教育》2015年02期 　论文类型：期刊论文

【摘要】：基于调查问卷面向中小学教师就实施基于大数据支持的学习分析与评价的需求从以下三个维度进行调查:(1)认识维度:对大数据及相关信息技术在学习分析与评价中应用价值的认识;(2)有用性维度:对大数据支持的学习分析与评价功用的需求;(3)易用性维度:影响中小学教师实施基于大数据支持的学习分析与评价的因素、已有知识与技能准备情况以及期望得到的支持。调查显示,绝大多数中小学教师非常期望能够利用大数据支持的学习分析与评价方法与技术对全体学生的学习信息实现全方位、全程化收集、整理与分析,从而系统评价学生的学习过程与结果,认为基于大数据支持的学习分析与评价不但能够促进全体学生的全人化与个性化发展,也有利于教师自身的教学决策与教学改进,同时也期望得到相关的实施培训与指导。
[Abstract]:Based on the questionnaire, teachers of primary and secondary schools need to carry out the analysis and evaluation of learning supported by big data from the following three dimensions: analysis and evaluation of big data and related information technology in learning from the following three dimensions: analysis and evaluation of relevant information technology in learning. The dimension of usefulness: the need for learning analysis and evaluation supported by big data (3) usability dimension: the factors influencing primary and secondary school teachers to carry out learning analysis and evaluation based on big data. The survey shows that the vast majority of primary and secondary school teachers are very eager to make use of the learning analysis and evaluation methods and techniques supported by big data to achieve all-round learning information for all students. The whole process is collected, sorted and analyzed, so as to systematically evaluate the students' learning process and results. It is believed that the study analysis and evaluation based on big data can not only promote the all-round and individualized development of all students. It is also beneficial to teachers' own teaching decision making and teaching improvement, and it is also expected to receive relevant training and guidance.
【作者单位】：东北师范大学;
【基金】：教育部科学技术战略研究项目(编号:2014XX07)“大数据支持下的学习分析与教学评价研究”阶段性成果
【分类号】：G434

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