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15 results on '"Wang, Xiaojiong"'

9. two-stage method for improving discrimination and variable selection in DEA models.

Author

Xie, Qiwei, Li, Rong, Zou, Yanping, Liu, Yujia, and Wang, Xiaojiong

Subjects
DATA envelopment analysis, PRINCIPAL components analysis, CARBON emissions, DEPENDENT variables
Abstract

One of the main challenges when applying data envelopment analysis (DEA) is the selection of appropriate input and output variables. This paper addresses this important problem using a novel two-stage method. In the first stage, we use entropy theory to generate a comprehensive efficiency score (CES) of each decision-making unit. In the second stage, we select input and output variables using the Bayesian information criterion, when CES is treated as a dependent variable and the input and output variables are used as explanatory variables. We use stochastic data to demonstrate that our proposed method can improve the discrimination power of DEA and determine the important input and output variables. Finally, we compare the proposed method with principal component analysis using datasets on carbon emissions in China. This comparison demonstrates the practical value of our proposed method. [ABSTRACT FROM AUTHOR]

Published
2022
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12. Rethinking the Development of Technology-Enhanced Learning and the Role of Cognitive Computing

Author

Zhang, Xi, Ordoñez de Pablos, Patricia, Cheng, Yihang, Wang, Xiaojiong, Zhao, Hongke, Yu, Yao, and Wang, Xianhai

Abstract

Technology-enhanced learning (TEL) is important in social web. Recently, cognitive computing became significant to analyze sentiment and improve effectiveness in TEL field. So analyzing the development of cognitive computing, what and how its abilities improve TEL are necessary. For solving these issues, this study used systematic review approach based on technology view and enhancement view of TEL. Specifically, this study used topic search results in computer science field of “cognitive computing” and “anticipatory computing” in Web of Science database to do map analysis. Besides development footprints, the manuscript describes three development stages and key technologies of cognitive computing through burst study and step-by-step clustering. Finally, this study proposed influencing framework of cognitive computing on TEL and some research trends. This work provides an advanced background of TEL and a systemic review of cognitive computing, contributing to theory development and application of cognitive computing in TEL.

Published
2021
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