DocumentCode :
260081
Title :
ETREOSys: Towards an efficient Web-based platform for managing training in enterprise
Author :
Toure, Fode ; Aimeur, Esma ; Dalkir, Kimiz
Author_Institution :
Dept. of Comput. Sci. & Oper. Res., Univ. de Montreal, Montreal, QC, Canada
fYear :
2014
fDate :
9-10 Nov. 2014
Firstpage :
1
Lastpage :
9
Abstract :
Companies continue to invest in organizational learning and development, but rarely possess data to assess the results of this investment. Most companies use the Kirk-patrick/Phillips model to evaluate enterprise training. However, it emerges from the literature that enterprises have difficulties in using this model. There are three main barriers to the evaluation of training. The first barrier is the difficulty of isolating learning as a factor that affects the results. Another barrier is the lack of a useful IT assessment tool with the learning management system and the third barrier is the lack of standardized data to compare various learning functions. This paper presents an efficient Web-based Platform: ETREOSys - Enterprise TRaining program Evaluation and Optimization System. ETREOSys is a Web platform which uses cloud services such as virtual machines, data centers, Content Delivery Network and NoSQL databases. It allows training project monitoring as well as the calculation of tangible and intangible benefits of training without added cost. Furthermore, it enables the production of a classification of training projects according to criteria relevant to the enterprise. Our platform can optimize the training yield by a series of simulations based on machine learning algorithms: logistic regression, neural network and co-training.
Keywords :
cloud computing; computer based training; learning management systems; neural nets; regression analysis; ETREOSys; IT assessment tool; Kirk-Patrick-Phillips model; NoSQL databases; Web-based platform; cloud services; content delivery network; cotraining; data centers; enterprise training program evaluation and optimization system; learning management system; logistic regression; machine learning algorithms; neural network; organizational development; organizational learning; virtual machines; Analytical models; Companies; Investment; Mathematical model; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb), 2014 4th International Symposium
Conference_Location :
Algiers
Print_ISBN :
978-1-4799-7507-5
Type :
conf
DOI :
10.1109/ISKO-Maghreb.2014.7033448
Filename :
7033448
Link To Document :
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