建构反应试题评分误差分析——以2013年“华约”自主招生数学考试为例

建构反应试题是自主招生考试的主要题型,其既有学业考查方面的优势,又有难以避免的评分误差。本文通过对2013年“华约”自主招生数学试卷的统计分析与质量评价,从总体评分、评分松紧度、评分趋中、量表等级限制、交互作用和侧面功能差异六个方面阐释建构反应试题评分误差产生的原因及其影响,在试卷评价的一致性、合理性和准确性的诉求下,提出在试卷的命制、评阅和反馈阶段消除和控制评分误差的建议,以提高我国基础教育的试卷评价质量。     

王皓奥运会乒乓球男单决赛失分特点研究

主要采用录像分析法、数理统计法对王皓2004—2012年三届奥运会乒乓球男子单打决赛失分特点进行分析,探讨王皓奥运会比赛失败的原因。结果表明：王皓三届奥运会男单决赛失败的共同特点是发抢段和相持段的得分率都比较低;其失分的一个主要原因是单局连续失分比较高,单局一次最高连续失分为8分,而且单局中普遍至少是两次连续失分的结合;王皓与柳承敏、马琳、张继科比赛中发抢段失分率都在45％以上;接抢段二、四板主动失分率在降低,但被动失分率在增加;相持段中第五、六板的失分率高达45．7％。     

A Meta-Analysis of the Factor Structure of the Classroom Assessment Scoring System (CLASS)

Abstract

The Classroom Assessment Scoring System (CLASS) has been used extensively to measure teacher-student interactions and classroom quality. With a theoretical foundation rooted in the developmental theory of learning, CLASS has three primary domains—Emotional Support, Classroom Organization, and Instructional Support. In this study, we performed a meta-analysis of the factor structure of CLASS using Cheung’s two-stage structural equation modeling (TSSEM) approach. After searching the literature, we obtained 26 correlation matrices of the 10 dimensions shared by multiple versions of CLASS. This meta-analysis supports the three-factor model initially proposed by CLASS developers. The finding of this meta-analysis provides important evidence pertinent to the CLASS factor structure and has significant implications regarding the interpretation and use of CLASS scores.     

使用潜语义分析的汉语作文自动评分研究

本研究是第一个使用潜语义分析技术对汉语作文进行计算机自动评分的研究。首先对202篇高中作文进行人工评分,两位评分员评分相关为0.62。然后使用潜语义分析评价作文,先得到内容分数,其和人工评价内容分的相关达到了0.47;再使用该内容分对总分进行回归,回归方程的决定系数为0.3,回归所得总分和人工评价总分的相关达到了0.55。本研究表明,潜语义分析技术在汉语作文自动评分中起着重要作用。进一步的研究需要寻找更多的指标,并辅以其他方法来提高评分效果。     

个人信用评分在消费信贷中的运用

本文论述了商业银行在个人消费贷款和信用卡业务中,如何利用个人信用评分对消费信贷风险进行防范。     

基于VBA的智能考试及自动评分系统设计

大学课程无纸化考试在多元化评价机制中被日趋关注和普及。我们以Excel为应用平台,以Excel函数及VBA语言为开发工具,根据教学大纲和教材内容构建复习题库,再由考试指令从复习题库中随机抽题生成考生试卷,最后在考试过程中同步生成与考生答题一致的自动评分系统。该系统具有广泛的适用性与易用性,具有一定的推广价值。     

CAS在自学考试翻译测验评分中的应用研究

计算机自动评分（CAS）用于自学考试外语类课程的翻译测验评分,能够有效提高评分效率及客观性。本研究对72名自考学习者翻译测验作答数据的计算机自动评分结果与人工评分结果进行相关分析及配对样本t检验,并将两种评分方式的诊断结果进行比较。研究发现,计算机自动评分与人工评分结果高度相关,两种评分方式的翻译测验总分无显著差异,总体而言本次翻译测验自动评分结果是可靠的;但计算机自动评分与人工评分对自考学习者的翻译能力结构诊断结果有一定差异。     

新疆沙滩排球运动员发球技术分析

沙滩排球从1994年开始引入中国至今已有20余年的历史,新疆维吾尔自治区体育训练一大队女子沙滩排球队成立于1997年,其排球成绩一直很突出。该文通过文献法、访谈法等方法,对新疆沙滩排球运动员发球技术进行分析,通过对国内及新疆沙滩排球的发球技术特征、得失分情况和训练方法进行对比,力求在以后的发球训练中让新疆运动员理解明白做动作的目的和意图,提升运动员阅读比赛的能力。     

Using Active Learning Methods to Strategically Select Essays for Automated Scoring

Research on Automated Essay Scoring has become increasing important because it serves as a method for evaluating students’ written responses at scale. Scalable methods for scoring written responses are needed as students migrate to online learning environments resulting in the need to evaluate large numbers of written-response assessments. The purpose of this study is to describe and evaluate three active learning methods that can be used to minimize the number of essays that must be scored by human raters while still providing the data needed to train a modern Automated Essay Scoring system. The three active learning methods are the uncertainty-based, the topological-based, and the hybrid method. These three methods were used to select essays included in the Automated Student Assessment Prize competition that were then classified using a scoring model that was trained with the bidirectional encoder representations from a transformer language model. All three active learning methods produced strong results, with the topological-based method producing the most efficient classification. Growth rate accuracy was also evaluated. The active learning methods produced different levels of efficiency under different sample size allocations but, overall, all three methods were highly efficient and produced classifications that were similar to one another.