中文摘要：

通过分析教育大数据的特点，揭示其在教育测评中应用的不足，并进一步提出大数据时代教育测评的系统化、纵向化、微观化、创新性以及“以人为本”的发展趋势。在此基础上，文章对比分析了大数据理念下经典测量理论、项目反应理论和认知诊断理论的优势与不足，对三种测量理论在教育实践中的应用提出了相应的建议。

英文摘要：

By analyzing the characteristics of big data in education, this paper revealed the insufficientapplication of big data in education quality assessment and presented the five trends of education qualityassessment under the big data era: systematical, longitudinal, microcosmic, innovative, people-oriented. Basedon these above, the paper discussed the advantages and limitations of Classical Testing Theory(CTT), ItemResponse Theory(IRT), Cognitive Diagnosis Theory(CDT). Suggestions on applications of CTT, IRT, CDT wereproposed.