Education 5.0 Serving Future Skills for Industry 5.0 Era

Introduction

Various disciplines are being explored by Industry 5.0 (I 5.0), including artificial intelligence-related areas and educational and social studies. Utilizing new technology in planning and designing highly customized and personalized education programs is the main goal of I 5.0 in education. This chapter will look at opportunities for Industry 5.0 tools in education. The chapter will examine topics from different educational and academic needs to reach that goal. It will start with humanizing the education needs, explaining the meaning of Society 4.0, presenting the educational skills needed for the Industry 5.0 era, and showcasing the standards by the International Organization for Standardization adapted to Education 5.0 explaining the strategic alignment between SDG (Sustainable Development Goals) and Education 5.0. The chapter will also, discuss the importance of personalized education design as a major concept in Industry 5.0.

In all aspects of our lives, including our educational journey, Industry 4.0 leads to more automation, sophisticated Robots, IoT solutions, and Artificial Intelligence (AI) solutions as we move forward. The question that arises is whether we are losing the human touch. This brings forward the I 5.0 concept. Societies that developed from Society 1.0 evolved on hunting to Society 2.0, dependent on agriculture and advanced to Society 3.0, dependent on the industry that grew from Industry 1.0, based on mechanization using steam, water, and fossil fuels (Cabinet Office, 2023). Industry 2.0 was about the mass production approach of electricity. Industry 3.0 was about automation and information technology, which evolved into Industry 4.0. Cyber-physical systems and technologies such as AI, IoT, machine learning and big data analytics emerged as the Industry 5.0 revolution focusing on human, personal design for massive customized productions and co-robot collaboration (Saxena et al., 2020). In the Industry 5.0 era, the focus is shifting from digitization to personalization. In parallel, the educational systems evolved from Education 1.0, which used to be normal classroom teaching using basic methodologies, moving to Education 2.0, which involved research contributions as an added component in teaching. After that, the educational systems emphasized community engagement by adding community services in its systems design. Success in Industrial 4.0 technology made innovation a key skill in Education 4.0. Then finally, Education 5.0 educational systems concern massive personalization leading to massive industrialization (Saxena et al., 2020). Everything is smart in this society, so it needs a smart educational approach. Education 5.0 in the Industry 5.0 era aims to have personalized human aspects considered in educational program design, development, delivery, and effectiveness measurement.

In 2016 according to Lynch (2018), the book Humanizing the Education Machine concerned how education machines can be humanized. This book was about instructional models that focussed on learning intrinsic humanized values. These models promoted design thinking by improving classroom teaching and having models centered on the student, giving an example of a school rated above the state average. According to Lynch (2018), schools adopted science, technology, engineering, and mathematics (STEM) classrooms, which improved communication, collaboration, creative thinking, and critical thinking. In addition, the classrooms were designed with six tables with flat screen monitors used by small groups of students.

However, the cyber-physical relationship was built through Industry 4.0 paradigms that evolved into machine consciousness of the environment. These machines used sophisticated sensors to collect data processed with machine learning algorithms to generate knowledge that was evaluated based on a set of quality assurance attributes, such as: accuracy; confusion matrix; sensitivity; specificity; precision; and recall. These attributes are examples used in artificial intelligence (AI) to measure the performance level of the AI solution. After that, there was useful customization and personalization with a real human touch of added value. This enhanced feature gave rise to a more human-centered design product, which evolved with Industry 4.0 technology. Lantada (2022) mentioned that Society 5.0, announced in Japan, was human-centered. A society that balances economic advancement with social problem resolution by integrating cyber-space and physical space, as shown in Figure 1. Finally, the chapter will present examples of future skills demonstrations from different regions of the world.