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.

Tajikistan and other countries in Central Asia, such as Kazakhstan, the Kyrgyz Republic, Turkmenistan, and Uzbekistan, are striving to align technical and vocational education and training (TVET) with their economic realities. Job shortage and the gap between TVET and the needs of employers must be addressed by these countries. This publication details how TVET has evolved in Tajikistan and other countries in the region. It recommends improvements through the use of a labor market information system to match skills supply with industry demand, decentralization of governance and management, integration of information and communication technology for lifelong learning, and intensified regional collaboration and experience sharing.

This publication details how technical and vocational education and training (TVET) has evolved in Tajikistan and other countries in Central Asia. It offers recommendations to enhance regional cooperation in labor market and TVET development. Tajikistan and other countries in Central Asia, such as Kazakhstan, the Kyrgyz Republic, Turkmenistan, and Uzbekistan, are striving to align TVET with their economic realities. Job shortage and the gap between TVET and the needs of employers must be addressed by these countries. The publication recommends improvements across different areas, including management and governance as well as regional collaboration and experience sharing.

Education in West Central Asia is a comprehensive critical reference guide to education in the region. With chapters written by an international team of leading regional education experts, the book explores the education systems of each country in the region. With chapters covering Iran, Pakistan, Afghanistan, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan, the book critically examines the development of education provision in each country as well as local and global contexts. Including a comparative introduction to the issues facing education in the region as a whole and guides to available online datasets, this handbook will be an essential reference for researchers, scholars, international agencies and policy-makers at all levels.

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.