Jian Tao – författare

This Element aims to elucidate the concept of language teacher agency by exploring the ''what'' question, offering major conceptualisations of agency and explaining how they shape the way we approach teacher agency. The authors then continue with the ''why'' question, and elaborate on the reasons that language teacher agency matters, based on a discussion of the varied purposes of teacher agency at multiple levels. They also acknowledge that teacher agency does not operate alone, and discuss how it intersects with such concepts as teacher identity, emotion, belief and knowledge. Based on this, they identify ways to promote teacher agency through making changes to contexts and/or actors. They then introduce the concept of collective agency and propose a multi-layered model based on an illustrative study. The Element ends with a call for a trans-perspective on understanding language teacher agency so as to facilitate the professional development of language teachers.

This Element aims to elucidate the concept of language teacher agency by exploring the ''what'' question, offering major conceptualisations of agency and explaining how they shape the way we approach teacher agency. The authors then continue with the ''why'' question, and elaborate on the reasons that language teacher agency matters, based on a discussion of the varied purposes of teacher agency at multiple levels. They also acknowledge that teacher agency does not operate alone, and discuss how it intersects with such concepts as teacher identity, emotion, belief and knowledge. Based on this, they identify ways to promote teacher agency through making changes to contexts and/or actors. They then introduce the concept of collective agency and propose a multi-layered model based on an illustrative study. The Element ends with a call for a trans-perspective on understanding language teacher agency so as to facilitate the professional development of language teachers.

This Element aims to elucidate the concept of language teacher agency by exploring the 'what' question, offering major conceptualisations of agency and explaining how they shape the way we approach teacher agency. The authors then continue with the 'why' question, and elaborate on the reasons that language teacher agency matters, based on a discussion of the varied purposes of teacher agency at multiple levels. They also acknowledge that teacher agency does not operate alone, and discuss how it intersects with such concepts as teacher identity, emotion, belief and knowledge. Based on this, they identify ways to promote teacher agency through making changes to contexts and/or actors. They then introduce the concept of collective agency and propose a multi-layered model based on an illustrative study. The Element ends with a call for a trans-perspective on understanding language teacher agency so as to facilitate the professional development of language teachers.

This book presents up-to-date theory and methods of statistical hypothesis testing based on measure theory. The so-called statistical space is a measurable space adding a family of probability measures. Most topics in the book will be developed based on this term. The book includes some typical data sets, such as the relation between race and the death penalty verdict, the behavior of food intake of two kinds of Zucker rats, and the per capita income and expenditure in China during the 1978–2002 period. Emphasis is given to the process of finding appropriate statistical techniques and methods of evaluating these techniques.

This open access book presents the Coal remains the primary energy source in China, with an estimated total coal reserve of 59 trillion tons at depths of less than 2000 meters. Among these, over 50% lie at depths exceeding 1000 meters, primarily distributed in central and eastern China. Deep coal mining has become the new norm for the coal industry’s development and resource exploitation. To ensure energy supply for the rapid economic development of central and eastern regions, mining coal resources from depths of over 1000 meters is inevitable. This endeavor holds significant strategic importance for safeguarding national energy security and supporting regional economic growth. However, mining-induced hazards, such as rock bursts, water inrushes, and roof collapses, continue to occur frequently in both local and state-owned coal mines. These incidents pose severe threats to the safety of coal production, tarnish the reputation of China's mining industry, and hinder its development. Therefore, advancing mining engineering—especially the theories of major accident prediction and control—is essential. A deeper understanding of the dynamic processes underlying mining-induced pressure and strata movement is necessary. Promoting safe and efficient coal mining through informed decision-making and management supported by scientific, quantitative methods is a critical and urgent task. Achieving informatization, intelligence, and visualization in mining operations will be key to fundamentally addressing the current safety challenges in China's mining industry. In recent years, the author and their team have conducted in-depth studies on models of dynamic disasters and surrounding rock control in deep mines, supported by projects under the National Basic Research Program (973 Program), the National Key R&D Program, as well as talent and general research funds and specialized consultancy projects from the Chinese Academy of Sciences. The main research focuses include constructing spatial structural models of overlying strata in mining areas, analyzing the spatiotemporal evolution of mining-induced stress, and developing proactive control technologies for dynamic disasters in mining areas. This book aims to provide foundational insights into the occurrence and control of major mining accidents. It proposes a decision-making framework for predicting and managing such disasters by controlling the movement of surrounding rock and stress conditions induced by mining. These efforts are expected to provide a reference for advancing research in related fields.

This open access book presents the Coal remains the primary energy source in China, with an estimated total coal reserve of 59 trillion tons at depths of less than 2000 meters. Among these, over 50% lie at depths exceeding 1000 meters, primarily distributed in central and eastern China. Deep coal mining has become the new norm for the coal industry’s development and resource exploitation. To ensure energy supply for the rapid economic development of central and eastern regions, mining coal resources from depths of over 1000 meters is inevitable. This endeavor holds significant strategic importance for safeguarding national energy security and supporting regional economic growth. However, mining-induced hazards, such as rock bursts, water inrushes, and roof collapses, continue to occur frequently in both local and state-owned coal mines. These incidents pose severe threats to the safety of coal production, tarnish the reputation of China's mining industry, and hinder its development. Therefore, advancing mining engineering—especially the theories of major accident prediction and control—is essential. A deeper understanding of the dynamic processes underlying mining-induced pressure and strata movement is necessary. Promoting safe and efficient coal mining through informed decision-making and management supported by scientific, quantitative methods is a critical and urgent task. Achieving informatization, intelligence, and visualization in mining operations will be key to fundamentally addressing the current safety challenges in China's mining industry. In recent years, the author and their team have conducted in-depth studies on models of dynamic disasters and surrounding rock control in deep mines, supported by projects under the National Basic Research Program (973 Program), the National Key R&D Program, as well as talent and general research funds and specialized consultancy projects from the Chinese Academy of Sciences. The main research focuses include constructing spatial structural models of overlying strata in mining areas, analyzing the spatiotemporal evolution of mining-induced stress, and developing proactive control technologies for dynamic disasters in mining areas. This book aims to provide foundational insights into the occurrence and control of major mining accidents. It proposes a decision-making framework for predicting and managing such disasters by controlling the movement of surrounding rock and stress conditions induced by mining. These efforts are expected to provide a reference for advancing research in related fields.

This open access book provides a comprehensive overview of the author’s in-depth insights into the theory, prediction methods, and developmental trends of creep instability and failure in coal-rock masses within mining stopes. The content primarily covers topics such as creep instability of coal-rock masses in stopes, creep instability of surrounding rock in roadways, large-scale roof creep instability, creep instability of overlying strata in goaf, rockburst, gas outburst, and principles and prediction of roof creep instability in fully mechanized mining faces. Additionally, it explores theoretical advancements in analyzing the energy principles of coal-rock masses and acoustic wave monitoring of coal-rock systems. This book serves as a valuable reference for professionals and researchers in mining engineering, mine construction, underground space engineering, and geotechnical engineering, as well as for faculty and students in related fields.