Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/253
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Conference Object Investigating the Factors That Impact E-Learning Systems in Oil and Gas Industry(American Institute of Physics Inc., 2022) AlRawi, L.N.; AlBella, A.H.; Ashour, O.I.The use of digital media such as audio and video as a teaching media helps to achieve teaching goals better than following traditional teaching. It improves the engagement with the lecture and helps to deliver the education by lower cost and shorter time. Many companies use electronic Learning (e-learning) as an effective way to improve the knowledge, skills, and performance of their employees. For that, it became essential to investigate the factors that affect the usage of these systems. Many researches have performed on the factors affecting e-learning systems in different sectors, but studies into e-learning systems for Oil and Gas industry is limited. In this study, the Oil and Gas sector is targeted since we have found the use of distance training and learning is projected to increase in this industry especially with current unprecedented circumstances and the lockdown that are associated with Coronavirus 2019 Disease (COVID-19). Human factors that influence e-learning systems for Oil and Gas companies are targeted and investigated. An investigation had conducted in order to gain insights into human factors. Questionnaires were collected from 76 employees from the field. The findings show that learner’s education, system interface, computer literacy, organization support, and teaching methods were identified as factors affecting e-learning systems. This research will play an essential role in helping oil and gas companies to develop and improve the use of their e-learning systems. © 2022 American Institute of Physics Inc.. All rights reserved.Article Citation - WoS: 3Citation - Scopus: 6Understanding Personality Differences in Software Organisations Using Keirsey Temperament Sorter(inst Engineering Technology-iet, 2015) O'Connor, Rory V.; Yilmaz, MuratIn recent years, there has been an increasing interest in exploring personality differences to improve work experience in software organisations. This study presents a personality assessment process conducted on 382 software practitioners using the Keirsey temperament sorter II. The primary goal of this assessment is to explore the personality temperaments of software practitioners working in different types of software development organisations. In addition, a novel visualisation approach is proposed for arranging temperaments using a periodic table-like structure. The results suggest that the authors approach provides an effective means to investigate an organisation's personality profile while assessing personality types.