Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19: The Crucial Role of International Accreditation

This book assesses the COVID-19 pandemic's impact on education and explores the future of technology and artificial intelligence in education. It emphasizes the need for new technologies like AI, IoT, big data, and machine learning to support education delivery and the role of accreditation bodies in ensuring effective technology use.

Format: Paperback / softback
Length: 711 pages
Publication date: 20 February 2023
Publisher: Springer Nature Switzerland AG

The COVID-19 pandemic has brought about significant disruptions to the education system, forcing educators to adapt quickly to new challenges and opportunities. In this context, the book aims to assess the impact of the pandemic on education and explore the potential of technologies and artificial intelligence (AI) in shaping the future of education.

One of the key themes of the book is the need for new technologies to support education delivery. The pandemic has highlighted the limitations of traditional teaching methods and the importance of leveraging innovative technologies to enhance learning experiences. Artificial intelligence, in particular, has the potential to revolutionize education by providing personalized learning experiences, automating administrative tasks, and analyzing vast amounts of data to improve teaching and learning outcomes.

The Internet of Things (IoT) and big data also play a crucial role in education. IoT enables real-time monitoring and assessment of student performance, while big data allows educators to analyze student data and identify patterns and trends that can inform teaching strategies. Machine learning algorithms can also be used to personalize learning experiences and provide students with real-time feedback and support.

However, the application of technologies and AI in education also raises several questions and concerns. One of the main concerns is the potential for these technologies to exacerbate existing inequalities in education. For example, if AI-powered assessment tools are not designed with diverse populations in mind, they may perpetuate biases and discrimination against certain groups of students. Additionally, the use of data-driven teaching strategies may lead to the commodification of education and the marginalization of certain students who may not have access to the necessary technology or resources.

Another concern is the role of accreditation bodies such as the AACSB in ensuring the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis. Accreditation bodies play a critical role in setting standards and guidelines for education, and they must adapt to the changing landscape of technology and AI to ensure that students are receiving high-quality education.

To address these concerns, the book proposes several strategies for the effective integration of technologies and AI in education. These strategies include developing culturally responsive AI algorithms, ensuring equitable access to technology and resources, and fostering collaboration between educators and technology experts to ensure that the benefits of technology are distributed fairly.

In conclusion, the COVID-19 pandemic has brought about significant disruptions to the education system, but it has also highlighted the potential of technologies and AI to transform education. The book aims to assess the impact of the pandemic on education and explore the future of application of technologies and artificial intelligence in education. By adopting a multidisciplinary approach and addressing the challenges and concerns associated with the integration of technology and AI, educators can create more inclusive and effective learning environments for all students.

Weight: 1092g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030939236
Edition number: 1st ed. 2022