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Transition into Higher Education
This book will help all academic staff in higher education (HE) develop more informed teaching and better support students as they transition to university. It explores the organisations who advise students pre-university and uncovers the myths and misconceptions held by HE stakeholders.Induction and welcome activities are examined in order to identify best practice, transition problems such as study skills, employment, mental health and identity are covered, and a final chapter focuses on the effects of Covid-19 on transition issues. The Critical Practice in Higher Education series provides a scholarly and practical entry point for academics into key areas of higher education practice.Each book in the series explores an individual topic in depth, providing an overview in relation to current thinking and practice, informed by recent research.The series will be of interest to those engaged in the study of higher education, those involved in leading learning and teaching or working in academic development, and individuals seeking to explore particular topics of professional interest.Through critical engagement, this series aims to promote an expanded notion of being an academic – connecting research, teaching, scholarship, community engagement and leadership – while developing confidence and authority.
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Transition Engineering : Building a Sustainable Future
Transition Engineering: Building a Sustainable Future examines new strategies emerging in response to the mega-issues of global climate change, decline in world oil supply, scarcity of key industrial minerals, and local environmental constraints.These issues pose challenges for organizations, businesses, and communities, and engineers will need to begin developing ideas and projects to implement the transition of engineered systems.This work presents a methodology for shifting away from unsustainable activities.Teaching the Transition Engineering approach and methodology is the focus of the text, and the concept is presented in a way that engineers can begin applying it in their work. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
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Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
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Rural Education in China’s Social Transition
In the first decade of the twenty-first century, the People's Republic of China experienced dramatic growth and expansion that altered the educational environment of children.Rapid economic development increased prosperity and educational opportunities for children expanded in a wealthier society.Yet, a by-product of rising wealth was rising inequality.While the children of the emerging urban middle and elite classes enjoyed new prosperity, the children of hte persistently poor in rural communities continued to experience challenges such as food insecurity, illness, hardships of family separation, and migrant life on the margins of the cities.This time period saw a large resource gap emerge between the home conditions of poor rural children compared with those of their wealthier urban counterparts.This book highlights the complexities China has experienced in seeking to extend full educational access to rural children— including rural- to- urban migrant and ethnic minority children—during a momentous period in China.Chapters delve into the experiences, perceptions, strategies, and diffi culties of rural- origin children and their families in the school system, and lay bare the challenges of policy initiatives designed to support rural education. We hope the experiences detailed here will be of interest to students and scholars of rural educational policy and practice in China and worldwide.
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Which programming language is used for robotics and artificial intelligence?
Python is commonly used for robotics and artificial intelligence due to its simplicity, readability, and extensive libraries for machine learning and robotics. It is also known for its flexibility and ease of integration with hardware, making it a popular choice for developing robotics and AI applications. Additionally, Python's strong community support and active development make it a suitable language for these rapidly evolving fields.
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Is machine learning already artificial intelligence?
Machine learning is a subset of artificial intelligence. It involves training a machine to learn from data and make predictions or decisions without being explicitly programmed to do so. Artificial intelligence, on the other hand, encompasses a broader range of technologies and applications that enable machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems. While machine learning is an important component of artificial intelligence, AI also includes other techniques such as natural language processing, computer vision, and robotics.
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How does one transition from console programming to graphics programming?
Transitioning from console programming to graphics programming involves learning new concepts and tools specific to graphics development. One way to start is by familiarizing oneself with graphics libraries and APIs such as OpenGL or DirectX. It is also important to understand fundamental graphics concepts like shaders, rendering pipelines, and transformations. Additionally, practicing by working on small graphics projects and gradually increasing complexity can help in gaining hands-on experience in graphics programming.
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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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Food Engineering Automation with Robotics and AI
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Artificial Intelligence and Learning Futures : Critical Narratives of Technology and Imagination in Higher Education
Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of artificial intelligence’s adoption in higher education and the challenges to building sustainable instead of dystopic schooling.As AI becomes integral to both pedagogy and profitability in today’s colleges and universities, a critical discourse on these systems and algorithms is urgently needed to push back against their potential to enable surveillance, control, and oppression.This book examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies in a way that ensures quality and sustainability.Leaders, administrators, and faculty as well as technologists and designers will find these provocative and accessible ideas profoundly applicable to their research, decision-making, and concerns.
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Drug Discovery and Development : Technology in Transition
Essential insight into drug development and the pharmaceutical industry With unprecedented interest in the power that the modern therapeutic armamentarium has to combat disease, the new edition of Drug Discovery and Development is an essential resource for anyone interested in understanding how drugs and other therapeutic interventions are discovered and developed, through to clinical research, registration, and market access. The text has been thoroughly updated, with new information on biopharmaceuticals and vaccines as well as clinical development and target identification.Drug discovery and development continues to evolve rapidly and this new edition reflects important changes in the landscape. Edited by industry experts Raymond Hill and Duncan Richards, this market-leading text is suitable for undergraduates and graduates undertaking degrees in pharmacy, pharmacology, toxicology, and clinical development through to those embarking on a career in the pharmaceutical industry. Key stages of drug discovery and development Chapters outline the contribution of individual disciplines to the overall process Supplemented by specific chapters on different modalities Includes coverage of Oligonucleotide therapies; cell and gene therapy Now comes with online access on StudentConsult
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Transition
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How can I transition into programming as a mechatronics engineer?
As a mechatronics engineer, you already have a strong foundation in engineering and technology, which will be beneficial for transitioning into programming. To make the transition, you can start by learning programming languages commonly used in mechatronics, such as C++, Python, or MATLAB. You can also take online courses or attend workshops to gain a deeper understanding of programming concepts and best practices. Additionally, seeking out opportunities to work on projects that involve both mechatronics and programming will help you apply your skills in a practical setting and build a portfolio that showcases your programming abilities.
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How can one transition away from special education school?
Transitioning away from special education school can be a gradual process that involves careful planning and support. It is important to work closely with the school's special education team, as well as other professionals such as therapists and counselors, to create a transition plan that addresses the individual needs and goals of the student. This plan may include gradually increasing time in general education classes, developing independent living skills, and connecting with community resources for ongoing support. Regular communication between the student, parents, and school staff is key to ensuring a successful transition.
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How could society of tomorrow look like as artificial intelligence and automation continue to advance?
As artificial intelligence and automation continue to advance, the society of tomorrow could see significant changes in various aspects of life. There may be increased efficiency and productivity in industries, leading to a shift in the job market and the need for new skill sets. There could also be advancements in healthcare, transportation, and communication, improving the overall quality of life. However, there may also be concerns about job displacement and the ethical implications of AI, leading to a need for new regulations and policies to ensure a fair and equitable society. Overall, the society of tomorrow could be more technologically advanced, but it will also require careful consideration of the social and ethical impacts of these advancements.
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Is there a transition or is there no transition?
There is a transition in the text.
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