This book is open access under a CC-BY license. The volume presents papers on vocational education, project-based learning and science didactic approaches, illustrating with sample cases, and with a special focus on Central Asian states. Thematically embedded in the area of Technical Vocational Education and Training (TVET), the book examines the following main topics: project-based learning (PBL), specific didactics with a linkage to food technologies and laboratory didactics, media and new technologies in TVET, evaluation of competencies including aspects of measurement, examination issues, and labour market and private sector issues in TVET, and research methods with a focus on empirical research and the role of scientific networks. It presents outcomes from TVET programmes at various universities, colleges, and teacher training institutes in Central Asia.

This open access volume presents papers on vocational education, project-based learning and science didactic approaches, illustrating with sample cases, and with a special focus on Central Asian states. Thematically embedded in the area of Technical Vocational Education and Training (TVET), the book examines the following main topics: project-based learning (PBL), specific didactics with a linkage to food technologies and laboratory didactics, media and new technologies in TVET, evaluation of competencies including aspects of measurement, examination issues, and labour market and private sector issues in TVET, and research methods with a focus on empirical research and the role of scientific networks. It presents outcomes from TVET programmes at various universities, colleges, and teacher training institutes in Central Asia. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

This book deals with teacher training for vocational education and training. In individual chapters next to the positions of relevant international organizations, donors and development banks, it also covers selected countries in their ways of shaping of Technical Vocational Education and Training and teacher training. The structure of the book aims at two objectives: To outline positions of important stakeholders of the international Technical Vocational Education and Training policies and international cooperation in TVET teacher training. To discuss the current status of Technical Vocational Education and Training and teacher training in selected countries, from developing countries, countries with emerging economies to industrialized countries. The book is meant to create a platform that supports a reference concept within international cooperation for the further development of Technical Vocational Education and Training and teacher training up to a higher quality and performance.

This edited volume remedies existing deficiencies in the literature on artificial intelligence and education in the context of work. The topics addressed by this book are: • Supporting formal and informal learning through AI• Human-machine collaboration for learning at the workplace, including the potential of human-AI interaction in professional and vocational education contexts, design, use, and evaluation of human-AI hybrid systems for learning• Intelligent and Interactive Technologies for Learning, including natural language processing and speech technologies; data mining and machine learning; knowledge representation and reasoning; semantic web technologies, chat bot-mediated learning, and conversational learning, • AI-enabled applications for skills management and personalized learning, such as AI-enabled coaching, personalized skill management, and intelligent tutoring systems. • Case studies for the implementation and use of AI-enabled learning and performance solutions, such as personal learning experience platforms, and automated performance feedback.

Engineering education leads the preparation of the next generation of engineers. This is a difficult task as engineering practices rapidly evolve, pressured by the technological advancements promoted by these same engineers. Engineering schools are integrated into large and rigid higher education institutions (HEI) that are not known for their agility. Nevertheless, engineering educators must have the agility to go beyond HEI boundaries to close the gap between professional practice needs and engineering education. Training Engineering Students for Modern Technological Advancement examines the role of engineering teachers in preparing the next generation of engineers and presents perspectives on active learning methods for engineering education. As such, it contributes to bypassing the compartmentalized way of course organization typical in many HEIs and prepares for more agile engineering education. Covering topics such as game-based teaching methods, Industry 4.0, and management skills, this book is a dynamic resource ideal for engineers, engineering professors, engineering students, general educators, engineering professionals, academicians, and researchers.

An OECD study of vocational education and training designed to help countries make their systems more responsive to labour market needs. It expands the evidence base, identifies a set of policy options and develops tools to appraise VET policy initiatives.

Zusammenfassung: The anthology offers a distinctive perspective on a European Union-funded capacity-building initiative aimed at enhancing contemporary teaching competencies, with a specific emphasis on Sri Lanka and Cambodia. It discusses the augmentation of pedagogical skills and its consequential effects on both individual and societal levels. Furthermore, the anthology scrutinizes the collaborative efforts in international education, elucidating the strategies adopted to confront the challenges and leverage the opportunities encountered by higher education institutions. The Editor Dr. Sandra Hummel is an educational scientist at the University of Graz and a research group leader at the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) at Dresden University of Technology