Creating value from Social Big Data: Implications for Smart Tourism Destinations

This paper aims to demonstrate how the huge amount of Social Big Data available from tourists can nurture the value creation process for a Smart Tourism Destination. Applying a multiple-case study analysis, the paper explores a set of regional tourist experiences related to a Southern European region and destination, to derive patterns and opportunities of value creation generated by Big Data in tourism. Findings present and discuss evidence in terms of improving decision-making, creating marketing strategies with more personalized offerings, transparency and trust in dialogue with customers and stakeholders, and emergence of new business models. Finally, implications are presented for researchers and practitioners interested in the managerial exploitation of Big Data in the context of information-intensive industries and mainly in Tourism.     

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.     

Reconsidering Reliability in Classroom Assessment and Grading

It is argued that classroom assessment evolves from a different set of issues and demands from more traditional measurement concerns and that approaches to reliability developed from traditional concerns are not appropriate for most classroom settings. The assessment and grading issues for high school instruction are examined from the perspective of reliability. An alternative conceptualization of reliability, sufficiency of information, is proposed and explored. This conceptualization is based on the argument that at a rudimentary level, reliability theory is based on the notion of having enough information to make decisions or draw inferences.     

企业绩效评价指标体系中存在的问题及改进建议

企业绩效评价就是按照企业目标设计相应的评价指标体系,对企业一定经营期间的经营业绩做出客观、公正和准确的综合判断。通过分析我国现行企业绩效评价指标体系中存在的问题,提出了相应的改进建议。     

Testing Measurement Invariance Across Unobserved Groups: The Role of Covariates in Factor Mixture Modeling

Factor mixture modeling (FMM) has been increasingly used to investigate unobserved population heterogeneity. This study examined the issue of covariate effects with FMM in the context of measurement invariance testing. Specifically, the impact of excluding and misspecifying covariate effects on measurement invariance testing and class enumeration was investigated via Monte Carlo simulations. Data were generated based on FMM models with (1) a zero covariate effect, (2) a covariate effect on the latent class variable, and (3) covariate effects on both the latent class variable and the factor. For each population model, different analysis models that excluded or misspecified covariate effects were fitted. Results highlighted the importance of including proper covariates in measurement invariance testing and evidenced the utility of a model comparison approach in searching for the correct specification of covariate effects and the level of measurement invariance. This approach was demonstrated using an empirical data set. Implications for methodological and applied research are discussed.     

A Simple Model to Determine the Efficient Duration of Exams

This study develops a theoretical model for the costs of an exam as a function of its duration. Two kind of costs are distinguished: (1) the costs of measurement errors and (2) the costs of the measurement. Both costs are expressed in time of the student. Based on a classical test theory model, enriched with assumptions on the context, the costs of the exam can be expressed as a function of various parameters, including the duration of the exam. It is shown that these costs can be minimized in time. Applied in a real example with reliability .80, the outcome is that the optimal exam time would be much shorter and would have reliability .675. The consequences of the model are investigated and discussed. One of the consequences is that optimal exam duration depends on the study load of the course, all other things being equal. It is argued that it is worthwhile to investigate empirically how much time students spend on preparing for resits. Six variants of the model are distinguished, which differ in their weights of the errors and in the way grades affect how much time students study for the resit.     

Measuring equity of education resource allocation: An output-based approach

This paper provides a methodological framework to measure and analyze educational resource allocation within and across systems and ascertain potential equity implications. The proposed approach employs an outputs-driven method to provide a snapshot of the equitable distribution of key educational resources available in relation to student populations that are most in need. Our approach standardizes educational resources into three broad dimensions including teacher quality, school physical environment, and school instructional environment while contrasting the allocation of these resources between low- and high-needs schools. We implement this approach using real world data from Brazil to demonstrate its adaptability to the context and available data while still maintaining a consistent framework across applications.     

高职学生在线学习投入量表构建与实证分析

学生的学习行为投入是影响学习效果的重要因素。为了了解疫情防控期间高职学生在线学习行为投入现状,在学习行为投入、在线学习行为投入内涵界定及测量研究的基础上设计了6个维度的高职学生在线学习行为投入测量量表,并基于学校电子商务学院2018级237名学生在安徽省网络课程学习中心(e会学)平台上进行在线学习的系统后台数据以及课后针对学习过程调查的问卷数据,对20个测量指标进行描述性分析、阶段性变化分析以及与终局性在线考试成绩进行相关分析。最后提出有效激发学生在线学习行为投入的实践启示,包括强化线上教学的过程管理;丰富线上教学设计,激发学生学习积极性;坚持线上教学的高要求。     

法兰直线轴承视觉测量递阶式规划与行为分析

针对法兰直线轴承尺寸系列化与视觉测量过程行为多样化之间的复杂关联影响问题,提出由特征包容方案规划、基本动作规划和工位变换路线规划三阶段组成的递阶式测量行为规划策略,并设计了视觉测量规划与行为评估流程。以某型号方法兰直线轴承为对象,以评估不同测量行为、图像质量及图像处理算法之间的关联影响为任务,进行测量实验研究。实验结果表明,通过对测量行为进行递阶式规划与行为分析,便于获取测量行为变化造成测量结果波动的定量信息,得以反馈行为影响,从而引导行为优化,可促进视觉测量系统前、后处理功能的增强,有助于智能视觉测量的发展。