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机构地区:[1]山东师范大学继续教育学院,济南250014 [2]山东省教育招生考试院,济南250014
出 处:《山东师范大学学报(自然科学版)》2013年第4期60-64,共5页Journal of Shandong Normal University(Natural Science)
基 金:山东省教育科学规划"教育招生考试科学研究专设课题"《教育考试中网上评卷的质量保障研究》的阶段性成果(课题编号:ZK1101321B049).
摘 要:目前的大规模标准化考试普遍采用网上评卷方式.网上评卷出现时间较短,其在运行机制和管理模式方面存在一些问题,主要集中在评卷人员评分有趋中倾向、专家没有充分发挥其在评卷中的指导作用和误差控制机制自动化程度和效率低三方面.笔者针对以上三方面的问题进行改进.增加专家数量,并将专家的质量指标数据作为各个质量指标数据标准值制定时的重要参考数据,这样可以避免趋中现象的产生,使得标准值更加科学可信;提出了一种基于膜计算的评卷管理自动化模块,将其嵌入现有评卷软件,可以实现各个评卷人员不合格质量指标的自动识别和自动告知功能,是管理模式的一个突破式的进展,大大提高了误差控制的效率,减轻了管理人员的负担,提高了评卷质量.通过实验验证,该模型是合理的.此外,膜计算作为一种生物计算新方法,本文也给出了这种方法的一种新应用.The present large-scale standardized tests generally take online marking work.Because of the history of online marking,there are still some problems in its operation mechanism and management mode.These problems mainly focus on three aspects:a central tendency in the marking of scores ; lack of full guiding functions of experts in marking; and the low degree of automation and efficiency of the error control mechanism.This paper aims to solve the above 3 problems.The unmber of experts is increased and the indicators of the experts are as important reference data when the standard indicators data are formulated.Therefore,the central tendency can be avoided and the standard indicators can be more sicentific and credible.This paper also proposes an online marking management automation module based on membrane computing technology with all the rules.Embedding it in the existing marking software can realize the automatic identification and automatic told functions of the unqualified quality indicators.This is a breakthrough of the management pattern which can greatly improve the efficiency of error control,reduce the burden of the management personnel and improve the quality of the marking.Through example test,this model is reasonable.In addition,membrane computing is a new biological computation method.This is also a new attempt in applications of membrane system.
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