Understanding the Dynamics of Teacher Agency, Resilience, and Identity in the Neoliberal Age focuses on the complexity of teachers' agency, resilience, and identity across various contexts. Neoliberal educational policy technologies have been constantly (re)shaping educational professionalism, subjectivity, teaching, and evaluation. Within this climate, teacher agency, resilience, and identity are vital factors for maintaining teachers' well-functioning and well-being. Moreover, teacher agency, resilience, and identity do not exist independently but reinforce each other constitutively, which enable teachers to see beyond challenge and fluctuating confidence and withstand pressure. The educational contexts in this book encompass rural, immigrant, preservice education, special education, internationalized school contexts, etc. Theoretically, this book disentangles the conceptual understandings and methodological considerations of teacher agency, resilience, and identity. Practically, the contributors from various countries and regions explore how various contexts influence teacher agency, resilience, and identity in the neoliberal age.

Teachers' Goals, Beliefs, Emotions, and Identity Development discusses the nonlinear, multifaceted processes of teacher development by foregrounding constructs related to well-being and professional standards. Teachers lead full, complex lives that are set in both immediate and social-historical realities that significantly shape their ongoing successes and challenges. Informed by a range of psychological and educational theories and perspectives and meaningfully situated in contemporary perspectives of teacher well-being, this book offers comprehensive and holistic approaches to the processes and contexts of teacher development. The authors' research and implications for practice will be useful for prospective and practising teachers, teacher educators, classroom researchers, school administrators, and policymakers.

In recent years, the control of Connected and Automated Vehicles (CAVs) has attracted strong attention for various automotive applications. One of the important features demanded of CAVs is collision avoidance, whether it is a stationary or a moving obstacle. Due to complex traffic conditions and various vehicle dynamics, the collision avoidance system should ensure that the vehicle can avoid collision with other vehicles or obstacles in longitudinal and lateral directions simultaneously. The longitudinal collision avoidance controller can avoid or mitigate vehicle collision accidents effectively via Forward Collision Warning (FCW), Brake Assist System (BAS), and Autonomous Emergency Braking (AEB), which has been commercially applied in many new vehicles launched by automobile enterprises. But in lateral motion direction, it is necessary to determine a flexible collision avoidance path in real time in case of detecting any obstacle. Then, a path-tracking algorithm is designed to assure that the vehicle will follow the predetermined path precisely, while guaranteeing certain comfort and vehicle stability over a wide range of velocities. In recent years, the rapid development of sensor, control, and communication technology has brought both possibilities and challenges to the improvement of vehicle collision avoidance capability, so collision avoidance system still needs to be further studied based on the emerging technologies. In this book, we provide a comprehensive overview of the current collision avoidance strategies for traditional vehicles and CAVs. First, the book introduces some emergency path planning methods that can be applied in global route design and local path generation situations which are the most common scenarios in driving. A comparison is made in the path-planning problem in both timing and performance between the conventional algorithms and emergency methods. In addition, this book introduces and designs an up-to-date path-planning method based on artificial potential field methods for collision avoidance, and verifies the effectiveness of this method in complex road environment. Next, in order to accurately track the predetermined path for collision avoidance, traditional control methods, humanlike control strategies, and intelligent approaches are discussed to solve the path-tracking problem and ensure the vehicle successfully avoids the collisions. In addition, this book designs and applies robust control to solve the path-tracking problem and verify its tracking effect in different scenarios. Finally, this book introduces the basic principles and test methods of AEB system for collision avoidance of a single vehicle. Meanwhile, by taking advantage of data sharing between vehicles based on V2X (vehicle-to-vehicle or vehicle-to-infrastructure) communication, pile-up accidents in longitudinal direction are effectively avoided through cooperative motion control of multiple vehicles.