No abstract

This study focuses on the uses of digital technology during teaching and learning. The preparedness, adoption, and use of virtual learning are inquired. Technology cannot enhance learning unless adopted, embraced, and effectively used. Three hundred and one (301) online questionnaires were administered to Higher and Tertiary institutions (HTEIs) students. The data were analyzed using the Structural Equation Model (SEM). Performance Expectancy (PE), Effort Expectancy (EE), and Social Influence (SI) were confirmed to be positive predictors of the Behavioural Intention (BI) to use technology. Facilitating Conditions (FC) is a non-significant construct to BI to use technology. Thus, irrespective of the availability of Information Communication Technologies (ICT) infrastructure and support needed to use virtual learning, students are forced to use virtual technology due to COVID-19. Pandemics such as COVID-19 force students and lecturers to use virtual learning irrespective of factors surrounding them. Pandemics are an anchor for the full embracement of virtual learning. Pandemic ‘like’ elements applied in the education system foster education. Google Classroom and its features prove to improve the teaching and learning processes. Chatbots and contextualized virtual Educational Humanoid robots enhance learning through interactivity. Pandemics need to be tested if they are a perfect fit as a new Unified Theory of Acceptance and Use of Technology (UTAUT) model construct. In addition, a model for effective blended learning during and post COVID-19 must be developed.

No abstract

No abstract

COVID-19 and future pandemics drastically change the way of life globally. Research has predominantly focused on the use and integration of disruptive technologies in industry and commerce. Little of the recent studies focused on the implementation of artificial intelligence and blockchain technologies in educational applications. The chapter focuses on how these can be implemented, from development, deployment, use, and maintenance of applications. A computer program's lifespan is usually spent during its use. The qualitative case study was administered using a digital learning platform that provides interactive learning for primary and secondary learners. The disruptive technologies inform new teaching methodologies and the development of student-centered algorithms for learning. Further research includes privacy issues in the implementation of disruptive technologies and data-sharing governance issues and evaluating the effectiveness of artificial intelligence and blockchain-based learning platforms.