Artificial Intelligence (AI) has recently gained immense popularity. With impressive capabilities and versatility, large language models have quickly become a valuable tool for a wide range of applications, from chatbots and language translation to content creation and research. Generative AI can aid in the creation of computer code and provide information on a wide range of technical topics. This work-in-progress brings AI to vocational training by incorporating Cloud Computing (CC) services into a professional training and development program for software engineers, concentrating on practical skills development, hands-on experience and job-specific competencies. The approach is evaluated in the context of action research, with an emphasis on the potential benefits and challenges of code generation.

This Research-To-Practice Full Paper presents an agile framework that was created and evaluated in the context of a continuous professional training and development program in the IT industry. It was designed with the values and principles of Agile Software Development in mind and provides a learning concept to become acquainted with DevOps and Cloud Computing practices. While DevOps promises to build, test and release software faster and more reliably through methods like continuous integration, continuous deployment/delivery, automated testing and infrastructure-as-code, the integration of Cloud Computing services empowers each step of the agile life cycle through ubiquitous access to computing resources that can be provisioned with minimal effort. The paper describes the experiences of creating and applying the didactic concept as well as observations of conducted work, learning progress, motivation and achievements.

The purpose of this Research Full Paper is to systematically collect and evaluate the experiences of learners, instructors, decision-makers and IT employees of educational organizations of the secondary and tertiary sector who have been involved in cloud and ubiquitous technology adoption processes. It contributes to a better understanding of how digital transformation in educational organizations takes place, how ubiquitous access to cloud-based tools can be established within educational structures and what effects the use of cloud and ubiquitous technologies has on pedagogical work. We investigate educational use cases of cloud and ubiquitous technologies as well as their technical and practical requirements and examine adoption strategies pursued by educational organizations, the challenges faced and how to cope with them. In addition, we examine the role cloud and ubiquitous technologies have played in efforts to maintain instruction in times of Covid-19.

This work-in-progress paper deals with the adoption of cloud computing in the education sector. In the past few years, the use of cloud-based teaching and learning environments has substantially increased. Many well-known applications have been enhanced with cloud features, but also completely new tools have emerged. This paper investigates the kind of educational tools that can be expected from the ongoing trend and are not feasible with traditional techniques and discusses potential contributions of cloud computing to the development and implementation of current digital education concepts.