The knowledge-sharing, decision-making model can not only combine the two processes but also improve the teaching quality and students' learning achievements. However, the existing knowledge-sharing, decision-making model has many shortcomings. Therefore, for this article the authors applied the computer-aided instruction (CAI) system to the knowledge-sharing decision model and compared it with the traditional knowledge-sharing decision model. They compared and analyzed the application effects of the two processes in the student education management platform, and the experimental comparison was made from the perspective of curriculum and students. When the authors used the traditional knowledge-sharing decision model, the average score of the five people in the course A exam was 78.2. After they used the knowledge-sharing decision model based on the computer-aided instruction system, the average score of the five people in the course A exam was 85.4. Obviously, the knowledge-sharing, decision-making model based on the CAI system can effectively improve students' academic performances.
知识共享、决策模式不仅能将这两个过程结合起来,还能提高教学质量和学生的学习成绩。然而,现有的知识共享、决策模式存在许多缺陷。因此,作者在本文中将计算机辅助教学(CAI)系统应用于知识共享决策模式,并与传统的知识共享决策模式进行了比较。他们对比分析了两种流程在学生教育管理平台中的应用效果,并从课程和学生的角度进行了实验对比。当作者使用传统的知识共享决策模型时,五人在课程 A 考试中的平均成绩为 78.2 分。而在使用基于计算机辅助教学系统的知识共享决策模式后,A 课程考试中五人的平均成绩为 85.4 分。显然,基于 CAI 系统的知识共享决策模型能够有效提高学生的学习成绩。
{"title":"Application of Knowledge Sharing Decision Model Based on Computer-Aided System in Student Education Management Platform","authors":"Yahui Qiu, Jinqiang Fang","doi":"10.4018/ijkm.336549","DOIUrl":"https://doi.org/10.4018/ijkm.336549","url":null,"abstract":"The knowledge-sharing, decision-making model can not only combine the two processes but also improve the teaching quality and students' learning achievements. However, the existing knowledge-sharing, decision-making model has many shortcomings. Therefore, for this article the authors applied the computer-aided instruction (CAI) system to the knowledge-sharing decision model and compared it with the traditional knowledge-sharing decision model. They compared and analyzed the application effects of the two processes in the student education management platform, and the experimental comparison was made from the perspective of curriculum and students. When the authors used the traditional knowledge-sharing decision model, the average score of the five people in the course A exam was 78.2. After they used the knowledge-sharing decision model based on the computer-aided instruction system, the average score of the five people in the course A exam was 85.4. Obviously, the knowledge-sharing, decision-making model based on the CAI system can effectively improve students' academic performances.","PeriodicalId":45217,"journal":{"name":"International Journal of Knowledge Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139615127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mustapha Cheikh-Ammar, Marie Christine Roy, Marie Josée Roy
The study proposes and empirically validates a theoretical model suggesting that employee competency development during the onboarding period largely depends on the availability of knowledge sharing (KS) channels (both digital and traditional), on the KS culture experienced, and on employee satisfaction with the existing KS practices. The data for the study was collected using an online survey of a large pool of young public service employees working at various government agencies (n= 3,652 respondents). The results of a structural equation modeling analysis of the data provide support for the study's main premise. The implications of these results on the design of effective onboarding processes are discussed.
{"title":"Fostering Competency Development Through Knowledge Sharing Capabilities in Onboarding","authors":"Mustapha Cheikh-Ammar, Marie Christine Roy, Marie Josée Roy","doi":"10.4018/ijkm.336278","DOIUrl":"https://doi.org/10.4018/ijkm.336278","url":null,"abstract":"The study proposes and empirically validates a theoretical model suggesting that employee competency development during the onboarding period largely depends on the availability of knowledge sharing (KS) channels (both digital and traditional), on the KS culture experienced, and on employee satisfaction with the existing KS practices. The data for the study was collected using an online survey of a large pool of young public service employees working at various government agencies (n= 3,652 respondents). The results of a structural equation modeling analysis of the data provide support for the study's main premise. The implications of these results on the design of effective onboarding processes are discussed.","PeriodicalId":45217,"journal":{"name":"International Journal of Knowledge Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139438885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article is an enhancement of the chapter “About Digital Avatars for Control in Virtual Industries” in the book Big Data and Knowledge Sharing in Virtual Organizations. The article discusses the capabilities of the R language for modeling Levy processes that currently most closely correspond to the nature of the organizational learning movements in sliding mode. The efficient algorithm of the CGMY process simulation as a difference of the tempered stable independent Levy is processed and programmed at R language. The efficient algorithm of variance gamma process simulation using variance gamma random variables is processed and programmed at R language. Overview of CGMY process simulation in practice is use for human capital management in the context of the implementation of digital intelligent decision support systems and knowledge management and for digital intelligent design of avatar-based control with application to human capital management.
{"title":"Avatars-Based Decision Support System Using Blockchain and Knowledge Sharing for Processes Simulation","authors":"V. Mkrttchian","doi":"10.4018/ijkm.2021010105","DOIUrl":"https://doi.org/10.4018/ijkm.2021010105","url":null,"abstract":"This article is an enhancement of the chapter “About Digital Avatars for Control in Virtual Industries” in the book Big Data and Knowledge Sharing in Virtual Organizations. The article discusses the capabilities of the R language for modeling Levy processes that currently most closely correspond to the nature of the organizational learning movements in sliding mode. The efficient algorithm of the CGMY process simulation as a difference of the tempered stable independent Levy is processed and programmed at R language. The efficient algorithm of variance gamma process simulation using variance gamma random variables is processed and programmed at R language. Overview of CGMY process simulation in practice is use for human capital management in the context of the implementation of digital intelligent decision support systems and knowledge management and for digital intelligent design of avatar-based control with application to human capital management.","PeriodicalId":45217,"journal":{"name":"International Journal of Knowledge Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85530569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}