基于大数据特征的形成性评价实施策略探索

Exploration of implementation strategies for formative evaluation based on big data characteristics

随着大数据技术的飞速发展,教育逐渐成为大数据应用的重要领域。单一的传统教学模式逐渐与微课、慕课和翻转课堂等互联网教育模式相结合,目前已成为学术界和教学实践改革的热点话题。大数据为学生的学习评价提供了技术保障,形成性评价的优势得以彰显,使学习目标明晰化、技术指导个性化、教学反思深入化,为教学质量提升带来体系变革。文章对传统教学评价进行了特征分析,分析了大数据背景下形成性评价具备的典型特征,提出了应用大数据技术实施融入教学的形成性评价实施策略。

With the rapid development of big data technology,education has gradually become an important field of big data applications.The single traditional teaching model has gradually been combined with Internet education models such as micro classes,MOOC and flipped classes.At present,it has become a hot topic of academic circles and teaching practice reform.Big data provides technical support for student learning evaluation,showcasing the advantages of formative evaluation,clarifying learning objectives,personalizing technical guidance,deepening teaching reflection,and bringing about systematic changes in improving teaching quality.This article analyzes the characteristics of traditional teaching evaluation,analyzes the typical characteristics of formative evaluation under the background of big data,and proposes the implementation strategy of integrating formative evaluation into teaching using big data technology.