Abdullah M. Al-Ansi

Bio: Abdullah M. Al-Ansi is an academic researcher from Thamar University. The author has contributed to research in topics: Competence (human resources) & Higher education. The author has an hindex of 3, co-authored 7 publications receiving 31 citations. Previous affiliations of Abdullah M. Al-Ansi include Muhammadiyah University of Yogyakarta.

The role of e-learning infrastructure and cognitive competence in distance learning effectiveness during the covid-19 pandemic

Abstract: Covid-19 has led to the closure of educational institutions around the world and turned formal learning into distance learning. This study aims to investigate the effect of e-learning infrastructure and individual’s knowledge and competence on distance learning during the Covid-19 pandemic outbreak in 2020. E-learning infrastructure and individual’s cognitive competence were also used to determine the readiness of educational institutions in distance learning. The e-learning infrastructure includes Learning Management System (LMS), electronic devices, communication applications, and internet accessibility. Quantitative approach was used in this study with a sample of 324 participants from three major universities in Yogyakarta, Indonesia. Data were collected through online surveys. The descriptive statistical approach and one-layer regression analysis were used to examine the problems raised in this study. The results show that distance learning is positively influenced by e-learning infrastructure and the cognitive competence of the students, the faculty, and administrative staff. The results also point out the university’s readiness level in adopting online learning based on their previous experience of using the learning system. Finally, the study proposes that in order to improve the e-learning process, there needs to be sufficient financial support from the government, whereas the universities are advised to conduct workshops and training, and to provide teleconferencing applications.

Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers

Abstract: Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks and beyond. IEC is considered to be a promising backbone of future services and wireless communication systems in 5G integration. In addition, IEC enables various use cases and applications, including autonomous vehicles, augmented and virtual reality, big data analytic, and other customer-oriented services. Moreover, it is one of the 5G technologies that most enhanced market drivers in different fields such as customer service, healthcare, education methods, IoT in agriculture and energy sustainability. However, 5G technological improvements face many challenges such as traffic volume, privacy, security, digitization capabilities, and required latency. Therefore, 6G is considered to be promising technology for the future. To this end, compared to other surveys, this paper provides a comprehensive survey and an inclusive overview of Intelligence Edge Computing (IEC) technologies in 6G focusing on main up-to-date characteristics, challenges, potential use cases and market drivers. Furthermore, we summarize research efforts on IEC in 5G from 2014 to 2021, in which the integration of IEC and 5G technologies are highlighted. Finally, open research challenges and new future directions in IEC with 6G networks will be discussed.

ICT-Based Learning During Covid-19 Outbreak: Advantages, Opportunities and Challenges

Abstract: ICT-based learning is kind of learning that use Information and Communication Technology (ICT) to foster, optimize, enhance and support gaining knowledge. Covid-19 has caused the full transformation to ICT-based learning. This study aimed to investigate the advantages, opportunities and challenges of ICT-BL during the pandemic. Systematic analysis of the qualitative results indicated that possibility of Online learning, saving time and money, communication and motivation tool, usage of social media, sharing and processing the knowledge and improving the quality of education were the highest ranked advantages of the ICT-based learning and remote learning, extra time, adoption of new skills and more technologies and MOOCs in addition to family gathering were the most opportunities while internet accessibility, electricity problems, maintenance of infrastructure, high cost of ICT device and lack of expertise, ability to manage classrooms and plagiarism were the high ranked challenges for both students and lecturers to continue online learning. Developing countries need to develop new strategies and techniques to promote ICT-based learning based on innovation, socio-cultural and socio-economic aspects not only financial support.

Impact of Information and Communication Technology (ICT) on Different Settings of Learning Process in Developing Countries

Abstract: Information and communication technology have changed the traditional learning approaches to modern and interactive environment. ICTs are the keys of the revolution in education. ICTs in this study were divided into five parts: theory and practice, infrastructure, techniques and methods, devices and tools and educational applications. Learning process were examined in three different levels which are: Secondary schools, undergraduate and postgraduate. This study included main objective which is: analysis the impact of ICT on learning process in different settings of learning in developing countries. Applications of ICT have been explained as part of this study. Quantitative method (surveys) was used in this study. Participants of this study were 144 students of high school (junior and senior levels), 155 students of undergraduate level and 137 of postgraduate were selected randomly. Data were analyzed by SPSS for different surveys. The results of this study were: ICT have positive and significant impact on learning process in high school. ICT factors have positive and significant impact on learning process in undergraduate and postgraduate level except devices and tools of ICT was negative in undergraduate level and insignificant in both levels. In addition to Techniques and methods of undergraduate level was positive but insignificant and infrastructure of higher education was insignificant as well. There is a positive relationship between using of ICT and learning process. Usage and benefits of using ICT applications is more effective in higher levels of education related to many factors such as: policies of learning, difference of abilities, capacity of absorption, specification of studies, extent of need and complexity.

Analysis Impact of Leadership Style and Pay Fairness on Job Satisfaction and Organizational Commitment

Abstract: The purpose of this research were: 1) analyzing the leadership style, pay fairness, job satisfaction and organizational commitment of Nizar Bordir Company. 2) analyzing and examining the impact of leadership style and pay fairness on job satisfaction and organizational commitment. The research type is explanatory research. The sampling technique used in this study was a proportionate random sampling. Participants in research included 120 employees selected from all departments in the company. The study adopted the descriptive method using the survey and information from the company and analyzing the impact of leadership style and pay fairness on job satisfaction and organizational commitment by using path analysis. The results of this research showed that: firstly, leadership style, pay fairness, job satisfaction and organizational commitment in the company were evaluated and described. Secondly leadership style has negative impact on both job satisfaction and organizational commitment. Thirdly, pay fairness has positive and direct effect on job satisfaction and indirect effect on organizational commitment. Lastly, job satisfaction has positive and direct effect on organizational commitment.

Teaching for quality learning at university

Abstract: by J. Biggs and C. Tang, Maidenhead, England, Open University Press, 2007, 360 pp., £29.99, ISBN-13: 978-0-335-22126-4

The role of e-learning infrastructure and cognitive competence in distance learning effectiveness during the covid-19 pandemic

Abstract: Covid-19 has led to the closure of educational institutions around the world and turned formal learning into distance learning. This study aims to investigate the effect of e-learning infrastructure and individual’s knowledge and competence on distance learning during the Covid-19 pandemic outbreak in 2020. E-learning infrastructure and individual’s cognitive competence were also used to determine the readiness of educational institutions in distance learning. The e-learning infrastructure includes Learning Management System (LMS), electronic devices, communication applications, and internet accessibility. Quantitative approach was used in this study with a sample of 324 participants from three major universities in Yogyakarta, Indonesia. Data were collected through online surveys. The descriptive statistical approach and one-layer regression analysis were used to examine the problems raised in this study. The results show that distance learning is positively influenced by e-learning infrastructure and the cognitive competence of the students, the faculty, and administrative staff. The results also point out the university’s readiness level in adopting online learning based on their previous experience of using the learning system. Finally, the study proposes that in order to improve the e-learning process, there needs to be sufficient financial support from the government, whereas the universities are advised to conduct workshops and training, and to provide teleconferencing applications.

Federated Learning in Edge Computing: A Systematic Survey

Abstract: Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services closer to data sources. EC combined with Deep Learning (DL) is a promising technology and is widely used in several applications. However, in conventional DL architectures with EC enabled, data producers must frequently send and share data with third parties, edge or cloud servers, to train their models. This architecture is often impractical due to the high bandwidth requirements, legalization, and privacy vulnerabilities. The Federated Learning (FL) concept has recently emerged as a promising solution for mitigating the problems of unwanted bandwidth loss, data privacy, and legalization. FL can co-train models across distributed clients, such as mobile phones, automobiles, hospitals, and more, through a centralized server, while maintaining data localization. FL can therefore be viewed as a stimulating factor in the EC paradigm as it enables collaborative learning and model optimization. Although the existing surveys have taken into account applications of FL in EC environments, there has not been any systematic survey discussing FL implementation and challenges in the EC paradigm. This paper aims to provide a systematic survey of the literature on the implementation of FL in EC environments with a taxonomy to identify advanced solutions and other open problems. In this survey, we review the fundamentals of EC and FL, then we review the existing related works in FL in EC. Furthermore, we describe the protocols, architecture, framework, and hardware requirements for FL implementation in the EC environment. Moreover, we discuss the applications, challenges, and related existing solutions in the edge FL. Finally, we detail two relevant case studies of applying FL in EC, and we identify open issues and potential directions for future research. We believe this survey will help researchers better understand the connection between FL and EC enabling technologies and concepts.

Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers

Abstract: Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks and beyond. IEC is considered to be a promising backbone of future services and wireless communication systems in 5G integration. In addition, IEC enables various use cases and applications, including autonomous vehicles, augmented and virtual reality, big data analytic, and other customer-oriented services. Moreover, it is one of the 5G technologies that most enhanced market drivers in different fields such as customer service, healthcare, education methods, IoT in agriculture and energy sustainability. However, 5G technological improvements face many challenges such as traffic volume, privacy, security, digitization capabilities, and required latency. Therefore, 6G is considered to be promising technology for the future. To this end, compared to other surveys, this paper provides a comprehensive survey and an inclusive overview of Intelligence Edge Computing (IEC) technologies in 6G focusing on main up-to-date characteristics, challenges, potential use cases and market drivers. Furthermore, we summarize research efforts on IEC in 5G from 2014 to 2021, in which the integration of IEC and 5G technologies are highlighted. Finally, open research challenges and new future directions in IEC with 6G networks will be discussed.

ICT-Based Learning During Covid-19 Outbreak: Advantages, Opportunities and Challenges

Abstract: ICT-based learning is kind of learning that use Information and Communication Technology (ICT) to foster, optimize, enhance and support gaining knowledge. Covid-19 has caused the full transformation to ICT-based learning. This study aimed to investigate the advantages, opportunities and challenges of ICT-BL during the pandemic. Systematic analysis of the qualitative results indicated that possibility of Online learning, saving time and money, communication and motivation tool, usage of social media, sharing and processing the knowledge and improving the quality of education were the highest ranked advantages of the ICT-based learning and remote learning, extra time, adoption of new skills and more technologies and MOOCs in addition to family gathering were the most opportunities while internet accessibility, electricity problems, maintenance of infrastructure, high cost of ICT device and lack of expertise, ability to manage classrooms and plagiarism were the high ranked challenges for both students and lecturers to continue online learning. Developing countries need to develop new strategies and techniques to promote ICT-based learning based on innovation, socio-cultural and socio-economic aspects not only financial support.