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.

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.

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.