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1.
Ijeri-International Journal of Educational Research and Innovation ; - (18):240-259, 2022.
Article in English | Web of Science | ID: covidwho-2218265

ABSTRACT

The objective of this study is to examine the main constraints experienced in the online mode of education during this pandemic at higher education level in Pakistan. The COVID-19 pandemic credibly transformed the method of learning and teaching from face to face to online. In unexpected sudden septicity, universities in Pakistan have started online education without proper instructional provision and relevant experience. For this purpose, the data is collected from 750 students and teachers across all over the regions in Pakistan. The study has used partial least square structural equation modeling (PLS-SEM). The findings show that technological bottlenecks, institutional preparedness, and digital divide are significant challenges. The differences in perceptions of rural and urban areas are also very important referring to several policies implications, implementing information communication technology (ICT), friendly curriculums, enhancing online accessibility and infrastructure development. This study contributes to help universities for developing effective e-learning policies for students in the situation of COVID-19.

2.
Pertanika Journal of Social Science and Humanities ; 30(4):1451-1472, 2022.
Article in English | Web of Science | ID: covidwho-2206854

ABSTRACT

With millions of people segregating around the globe, Coronavirus stands truly a global event. It ranges to the trajectories of states with miserable and wrecked health care systems. The transmission is aided by the wide-ranging response from the policy planning and state organizations. Experts are aware of the sternness and contamination of the infectious disease and its disastrous consequences that desire for inoculation of Artificial Intelligence (AI). The absence of an AI policy rejoinder may lead to increased fatalities for weathering the storm. Despite the wide range of responses, the up-to-date policy needs an organized way to track the inflexibility of state-run organizations' frameworks to attain the objectives of AI organizational policy response. The study's objectives include including key national institutions to understand perceptions and motivations to challenge the event of COVID-19 through common grounds of Artificial Intelligence. The data is obtained through an online survey from the foreign office, health care services, inter-coordination ministries, and science and technology ministry. The paper has unfolded the useless directions, impractical steps, uncertainty, ineffective communication, and social protection, which led to the rapid spread of infection. Refining each health indicator and reducing the progression of the pandemic through the AI archetype is conceivable only when officialdoms employ the AI-based approach.

3.
Studies in Systems, Decision and Control ; 378:153-172, 2022.
Article in English | Scopus | ID: covidwho-1366288

ABSTRACT

The public sector establishments are increasingly interested in using artificial intelligence (AI) data science and capabilities to engender administratively and support services. The AI is identified for deepening the scientific knowledge in administration, support services, and addressing public queries. Other than the private sector, public services focus on the advancement of technology through AI’s arrangement. Correspondingly, this chapter strives to view artificial intelligence within governance domains while intervening in public services and localities during COVID-19. It considers the factors that the study endorses with opportunities and challenges that disclose the prospects in the current scenario. The study aims to highlight AI’s use in governance and support services through the online survey from the local departments and administrative service providers. The scope addressed in the study included the key state divisions, trailed by the National Health and Services, Science and Technology, Relief and Welfare departments, along with the key stakeholders in localities. The study examines the facilitative governance, shared objectives, imparting information, communication, socializing, AI expertise, and decision making over coronavirus governance. The results reflect a comprehensive strategy through artificial intelligence application to minimize the devastation caused by a coronavirus. It also invites public and private parties to support the Government in technological affairs of governing the crisis of COVID-19. The research contributed to further investigation in the tools that can better the state government services towards the ordinary citizen of Pakistan. Significant future implications are noted because of the challenges and opportunities received and incorporated in the study. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

4.
Studies in Computational Intelligence ; 954:199-219, 2021.
Article in English | Scopus | ID: covidwho-1361229

ABSTRACT

The public sector organizations are increasingly interested in using data science and capabilities of artificial intelligence (AI) to engender administrative and support services. The AI is identified for deepening the scientific knowledge in extents of administration, support services and addressing public queries. Other than private sector, the public services are focusing towards the advancement of technology through the arrangement of AI. Correspondingly, this chapter strives to view the artificial intelligence within the domains of governance while intervening in public services and localities during COVID-19. It considers the factors that the study endorses with opportunities and challenges that disclose the prospects in the current scenario. The study aims to highlight the use of AI in governance and support services through the online survey from the local departments and administrative service providers. The scope addressed in the study included the key state divisions, trailed by the National Health and Services, Science and Technology, Relief and Welfare departments, along with the key stakeholders in localities. The study examines the facilitative governance, shared objectives, imparting information, communication, socializing, AI expertise, and decision making over coronavirus governance. The results reflect a comprehensive strategy through artificial intelligence application to minimize the devastation caused by the event of coronavirus. It also invites public and private parties to support the government in technological affairs of governing the crisis situation of COVID-19. The research contributed for further investigation in the tools that can better the state governance services towards common citizen of Pakistan. Significant future implications are noted in view of the challenges and opportunities received and incorporated in the study. © The Author(s).

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