Edeh Michael Onyema

Bio: Edeh Michael Onyema is an academic researcher. The author has contributed to research in topics: Computer science & Artificial intelligence. The author has an hindex of 4, co-authored 7 publications receiving 144 citations.

Impact of Coronavirus Pandemic on Education

Abstract: Coronavirus Disease (COVID-19) outbreak poses serious concerns to global education systems. Efforts to contain COVID-19 prompted unscheduled closure of schools in more than 100 countries worldwide. COVID-19 school closures left over one billion learners out of school. The study investigates the impact of COVID-19 on education. Data were collected through structured questionnaires administered to 200 respondents that consist of teachers, students, parents, and policy makers selected from different countries. The collected data were analyzed using STATA/Regression. The results show that COVID-19 has adverse effects on education including, learning disruptions, and decreased access to education and research facilities, Job losses and increased student debts. The findings also show that many educators and students relied on technology to ensure continued learning online during the Coronavirus pandemic. However, online education was hindered by poor infrastructures including, network, power, inaccessibility and unavailability issues and poor digital skills. The study underscores the damaging effects of COVID-19 on education sector and the need for all educational institutions, educators, and learners to adopt technology, and improve their digital skills in line with the emerging global trends and realities in education. Keywords: Coronavirus, Education, School closure, Technology, Virtual learning, Covidiot. DOI: 10.7176/JEP/11-13-12 Publication date: May 31 st 2020

Artificial intelligence-based Kubernetes container for scheduling nodes of energy composition

Abstract: Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services that facilitates both declarative configuration and automation. This study presents Kubernetes Container Scheduling Strategy (KCSS) based on Artificial Intelligence (AI) that can assist in decision making to control the scheduling and shifting of load to nodes. The aim is to improve the container’s schedule requested digitally from users to enhance the efficiency in scheduling and reduce cost. The constraints associated with the existing container scheduling techniques which often assign a node to every new container based on a personal criterion by relying on individual terms has been greatly improved by the new system presented in this study. The KCSS presented in this study provides multicriteria node selection based on artificial intelligence in terms of decision making systems thereby giving the scheduler a broad picture of the cloud's condition and the user's requirements. AI Scheduler allows users to easily make use of fractional Graphics Processing Units (GPUs), integer GPUs, and multiple-nodes of GPUs, for distributed training on Kubernetes.

Online Discussion Forum as a Tool for Interactive Learning and Communication

Abstract: The digital millennials are very interactive in nature. They love to learn and interact with their peers, teachers, relatives, and environment through digital platforms. These interactions are being facilitated by the increasing rate of internet penetration and emerging digital media across the globe. The nature of today’s learners has increased the demand for use of student-centred learning approach such as Online Discussion Forum (ODF) across different levels of education. Online Discussion Forum (ODF) is being employed as a supportive tool to enhance interactive learning and student-teacher communication. The present study developed an Online Discussion Forum nicknamed “CSC forum” with a view to promote interactive learning, and communication among students, and teachers at the Department of Computer Science, Tai Solarin University of Education, Nigeria. The “CSC forum” facilitates exchange of ideas among students regarding course content and assignments, and also improved the quality of communications and relationship between students and teachers. The platform has a “Live Chat” module where members can engage in active conversations, and participate on group discussions on the go. It also provides a framework for improving the department’s information literacy programme, and specifically students’ participation in active learning as a way of improving their digital literacy skills. Given the relative importance of ODF, teachers are required to devote more time on the forum to provide feedbacks to pending student’s queries/postings, and also to offer clarifications on trending topics being deliberated upon on the forum. The discussion forum presented in this study proved effective for student-teacher interactions, communication and information dissimilation to students on school/departmental activities. More so, the study affirms that teacher guidance is crucial to stimulate student’s interest and participation in online forum. While factors such as poor power supply; low student/teacher commitment, poor quality of postings, Abusive posts, delayed feedbacks, poor internet connections and time constraints were found to limit the success of online forum.

Design of Intrusion Detection System based on Cyborg intelligence for security of Cloud Network Traffic of Smart Cities

Abstract: Abstract The Internet of things (IoT) is an important technology that is highly beneficial in establishing smart items, connections and cities. However, there are worries regarding security and privacy vulnerabilities in IoT in which some emerge from numerous sources, including cyberattacks, unsecured networks, data, connections or communication. This paper provides an ensemble intrusion strategy based on Cyborg Intelligence (machine learning and biological intelligence) framework to boost security of IoT enabled networks utilized for network traffic of smart cities. To do this, multiple algorithms such Random Forest, Bayesian network (BN), C5.0, CART and Artificial Neural Network were investigated to determine their usefulness in identifying threats and attacks-botnets in IoT networks based on cyborg intelligence using the KDDcup99 dataset. The results reveal that the AdaBoost ensemble learning based on Cyborg Intelligence Intrusion Detection framework facilitates dissimilar network characteristics with the capacity to swiftly identify different botnet assaults efficiently. The suggested framework has obtained good accuracy, detection rate and a decreased false positive rate in comparison to other standard methodologies. The conclusion of this study would be a valuable complement to the efforts toward protecting IoT-powered networks and the accomplishment of safer smart cities.

Opportunities and challenges of the use of mobile phone technology in teaching and learning in Nigeria- A Review

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Impact of Coronavirus Pandemic on Education

Abstract: Coronavirus Disease (COVID-19) outbreak poses serious concerns to global education systems. Efforts to contain COVID-19 prompted unscheduled closure of schools in more than 100 countries worldwide. COVID-19 school closures left over one billion learners out of school. The study investigates the impact of COVID-19 on education. Data were collected through structured questionnaires administered to 200 respondents that consist of teachers, students, parents, and policy makers selected from different countries. The collected data were analyzed using STATA/Regression. The results show that COVID-19 has adverse effects on education including, learning disruptions, and decreased access to education and research facilities, Job losses and increased student debts. The findings also show that many educators and students relied on technology to ensure continued learning online during the Coronavirus pandemic. However, online education was hindered by poor infrastructures including, network, power, inaccessibility and unavailability issues and poor digital skills. The study underscores the damaging effects of COVID-19 on education sector and the need for all educational institutions, educators, and learners to adopt technology, and improve their digital skills in line with the emerging global trends and realities in education. Keywords: Coronavirus, Education, School closure, Technology, Virtual learning, Covidiot. DOI: 10.7176/JEP/11-13-12 Publication date: May 31 st 2020

Distance education as a response to pandemics: Coronavirus and Arab culture.

Abstract: Some countries have replaced face-to-face education with distance education in response to the coronavirus. This form of distance education differs from conventional distance education: being suddenly, unreadily and forcefully implemented, invading schooling and constituting a globally discussed phenomenon. This article builds a conceptual framework for this education, addressing the question: What are the ramifications of implementing distance education amid coronavirus? It targets Arab culture, although globalisation and the media may have harmonised any substantial cross-cultural variations. Various ramifications have emerged through analysing social-media posts, online classes and interviews. Concerning social and cultural ramifications, some may, for ideological considerations, tolerate, support, reject or subvert this education through campaigning, rumour and humour. Regarding pedagogical and psychological ramifications, unreadiness and incompetence may compromise education. Additionally, staying home may entail problems (pandemic-related stress, anxiety, depression, domestic violence, divorce and pregnancy), preventing students and teachers from learning and teaching. Concerning procedural and logistical ramifications, some Arab contexts may be digitally readier than non-Arab contexts. Additionally, stakeholders may intensify efforts to profit, ethically or unethically, from the over-demand for this education. Distance education is one of several social distancing initiatives, which Arabs have welcomed despite their well-rooted social closeness, bonding to debond, forming unorthodox 'distanceship'.

Needs a little TLC: examining college students’ emergency remote teaching and learning experiences during COVID-19

Abstract: The recent novel coronavirus (COVID-19) crisis has affected humanity and education worldwide as continued learning amidst massive school closures required the unprecedented decision to make a rapid...

The factors affecting student satisfaction with online education during the COVID-19 pandemic: an empirical study of an emerging Muslim country

Abstract: This study aims to investigate factors affecting students’ satisfaction with online learning during the COVID-19 pandemic.,This study uses quantitative data. A survey of 280 respondents, representing undergraduate students in business schools in Cairo, Egypt is conducted. The survey includes both public and private universities. The participants are questioned about their opinions and attitudes toward satisfaction with online learning amidst the COVID-19 pandemic.,The findings of this study reveal that Egyptian university students prefer to use synchronous teaching methods using different platforms. Attending virtual sessions and real-time conference call classes are the most preferred mode of delivery as perceived by the respondents. Also, the results of this study found that the internet, platform, class time, loss of interest, motivation and self-motivation and use of online exams as an assessment can be considered as the factors that significantly affect students’ satisfaction with online learning in Egypt.,To the best of the knowledge, this study is among the first group of studies in Muslim emerging countries that explore the factors affecting students’ satisfaction with online learning during the COVID-19 pandemic.

Adaptation and Perception of Online Learning during COVID-19 Pandemic by Albanian University Students

Abstract: The aim of this study is to evaluate the perceptions and challenges of Albanian students during online learning carried out due to COVID-19 pandemic. The students were invited via email to give their perception of ongoing online learning. Responses were obtained from 627 college students from various study fields, such as natural, medical, and life sciences. The results showed that students had a more positive attitude towards the classroom learning environment. The main challenges that students faced were the unavailability of internet connection and the lack of technology devices. Students enrolled in technology-based programs and also those with high academic performance were more comfortable and satisfied with online classes (p<0.001). The % of students who preferred the learning process be continued in the classroom was higher than those who preferred online education or a combination of both on-campus and online learning environments (p<0.001). Students firmly state that online learning cannot replace the classroom. The findings suggested that Albanian students are not familiar enough with technology-based education. Online teaching must be integrated gradually into Albanian education depending also on students’ characteristics. The learning process must be effectively organized by professors, taking into account students’ dissatisfactions and difficulties with e-learning and considering the overall limitations of this method.