Industry 5.0 is one of the emerging stages of industrialization in which humans collaborate with cutting-edge technologies to enhance various workplace processes. The primary objective is to emphasize meeting the needs of people and provide enhanced resilience and understanding of sustainability. Industry 5.0 enables cooperation with such advanced technologies and the stakeholders in the education sector to ensure efficiency and effectiveness in the teaching-learning process. The present study provides an exhaustive review of the role of Industry 5.0 in smart education. At the outset, a brief overview of the present scenario in the education sector and its associated challenges is presented. This sets the stage for establishing the need for Education 1.0 and its progressive transition to Education 4.0. Further, the motivation to integrate Industry 5.0 with Education 4.0 and the related enabling technologies that support are discussed. The paper extensively provides a description of the application of Industry 5.0 in various educational sectors namely in medical education, further learning, distance education, engineering education, and shop floor training. The study also presents seven case studies highlighting the successful implementation of Industry 5.0 in versatile sectors and regions. Finally, the challenges of Industry 5.0 in education are discussed pointing to potential future directions of research.

The widespread adoption of Electric Vehicles (EV) has emphasized the urgent need for efficient and secure charging infrastructure. While existing research in EV charging infrastructure has primarily concentrated on minimizing charging time at charging stations(CSs), neglecting security-centric charging optimization, particularly with scaled charging infrastructure considering multiple CSs. To address this gap, this paper presents an enhanced Hybrid-Electric Vehicle Charging Management and Security (H-EVCMS) framework. The H-EVCMS framework is meticulously designed to optimize charging price, manage load balancing, and provide security across multiple CS by leveraging the Open Charge Point Protocol (OCPP). The proposed framework's performance is evaluated by examining various charging scenarios and analyzing the booking and power consumption patterns of each CS. The results demonstrate the advantages of the hybrid approach used by the proposed H-EVCMS over traditional charging infrastructure management, showcasing its potential to address the challenges of scaling EV charging infrastructure while ensuring security and efficiency.

The EV charging network has witnessed significant growth in the UK in the last few years due to the net zero emission target of the government by 2030. The related literature in EV charging management mainly focuses on road-traffic-parameter-based optimization and lacks detail in terms of charging statistics and cyber–security-enabled charging management frameworks. In this context, this paper proposes a novel EV Charging Management and Security (EVCMS) framework using real-time charging statistics and an Open Charge Point Protocol (OCPP). Specifically, a system model for EVCMS is presented considering charging data management and security protocols. An EVCMS framework design is detailed, focusing on charging pricing, optimization, and charging security. The experimental implementation is described in terms of client–server and charge-box-based simulation. The performance of the proposed EVCMS framework is evaluated by considering different charging scenarios and a range of charging-related metrics. An analysis of results and comparative study attest to the benefits of the proposed EVCMS framework for enabling the EV charging ecosystem.