Document Details

Document Type : Thesis 
Document Title :
CREATE VIRTUAL TRAINING ENVIRONMENT AND DEVELOP METHOD TO MEASURE VIRTUAL TRAINING EFFECTIVENESS
إنشاء بيئة تدريب افتراضية وتطوير طريقة لقياس فاعلية التدريب الافتراضي
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Virtual reality, electronic learning as well as their varied applications continue to attract researchers from multiple disciplines, including Information Systems. From these myriads of applications, this study develops and analyses a virtual system for training purposes. Generally, many systems employ several technologies to optimise their performance. The present study employs a virtual environment, Second Life (SL), to benefit from its tools and techniques in developing a training system, as well as evaluating its effectiveness and efficiency. This approach offers a new and innovative training model. SL enhances both the skill and experiences of trainers and trainees in a 3D virtual environment. It is considered a credible alternative to traditional training halls, as it provides realistic and interactive training environments. The developed virtual training system helps relevant community members to obtain the necessary skills and experience by simulating a real training process. It reduces some issues that traditional trainings face such as high cost and traffic congestion. Moreover, the spread of corona virus these days further asserts the utility of virtual training. It could help maintain relevant health and safety protocols and might offer users the feeling of being in a real training hall. An evaluation method is developed in this study to prove the effectiveness of the training system and measure the return of the training. The author conducted interviews with experts and made questionnaires for the systems users. Case studies were also formulated, and real training process simulated. The study found that the simulated virtual training system enhances the quality and effectiveness of training processes. Also, SL will be developed and become more popular in the training field. 
Supervisor : Dr. Fahad Mazaed Alodayani 
Thesis Type : Master Thesis 
Publishing Year : 1443 AH
2022 AD 
Added Date : Saturday, March 19, 2022 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
منال ناصر الأسمريAlasmari, Manal NasserResearcherMaster 

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