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Employing Community-Based Experiential Learning in Teacher Education
This book positions itself at the intersection of the interrelationship between three key areas of initial teacher education: constructivist learning theories, teaching practicum, and the promotion of reflective practices.It presents an innovative approach to teacher preparation at undergraduate and postgraduate levels by critically examining the implementation of a mandatory experiential learning block across subject disciplines on undergraduate and postgraduate teacher preparation courses.This book presents multiple examples and case studies of these varied experiential learning projects that will inform academics, teachers and policymakers.Through these rich examples the authors set out to address the theory-practice dilemma in teacher education, where teachers-to-be are often positioned as ‘consumers’ of educational research in classrooms, read reference books and academic papers on teaching, and observe university and school experts before applying the same acquired theories and practices in their own classes.In the book the authors argue for a shift away from this conventional teacher-learning curriculum that is characterised by the separation of theory and practice, choosing instead to promote pedagogy and methods courses where practice underpins all learning.These pedagogical perspectives include the promotion of a diverse range of learning contexts (including on- and off-campus learning sites) for student teachers to experience during their time on teacher education courses.
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The U.S. Intelligence Community
The role of intelligence in US government operations has changed dramatically and is now more critical than ever to domestic security and foreign policy.This authoritative and highly researched book written by Jeffrey T.Richelson provides a detailed overview of America's vast intelligence empire, from its organizations and operations to its management structure.Drawing from a multitude of sources, including hundreds of official documents, The US Intelligence Community allows students to understand the full scope of intelligence organizations and activities, and gives valuable support to policymakers and military operations. The seventh edition has been fully revised to include a new chapter on the major issues confronting the intelligence community, including secrecy and leaks, domestic spying, and congressional oversight, as well as revamped chapters on signals intelligence and cyber collection, geospatial intelligence, and open sources.The inclusion of more maps, tables and photos, as well as electronic briefing books on the book's Web site, makes The US Intelligence Community an even more valuable and engaging resource for students.
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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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Food Engineering Automation with Robotics and AI
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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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Where can I find a programming community?
You can find a programming community in various online platforms such as GitHub, Stack Overflow, Reddit (subreddits like r/programming), and Discord servers dedicated to programming languages or technologies. Additionally, there are local meetups, hackathons, and coding bootcamps where you can connect with like-minded individuals in person. Joining online forums, attending tech conferences, and participating in open-source projects are also great ways to engage with the programming community.
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Is a community college a continuing education college?
No, a community college is not the same as a continuing education college. Community colleges typically offer a wider range of academic programs, including associate degrees and transfer programs to four-year universities, in addition to continuing education courses. Continuing education colleges, on the other hand, primarily focus on providing non-credit courses and professional development opportunities for adult learners looking to enhance their skills or pursue personal interests.
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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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Higher Education in a Globalising World : Community Engagement and Lifelong Learning
This book focuses on current policy discourse in Higher Education, with special reference to Europe.It discusses globalisation, Lifelong Learning, the EU’s Higher Education discourse, this discourse’s regional ramifications and alternative practices in Higher Education from both the minority and majority worlds with their different learning traditions and epistemologies. It argues that these alternative practices could well provide the germs for the shape of a public good oriented Higher Education for the future.It theoretically expounds on important elements to consider when engaging Higher Education and communities, discussing the nature of the term ‘community’ itself. Special reference is accorded to the difference that lies at the core of these ever-changing communities.It then provides an analysis of an ‘on the ground project’ in University community engagement, before suggesting signposts for further action at the level of policy and provision. This book is relevant to United Nations Sustainable Development Goal 4, Quality education -- .
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Co-Learning in Higher Education : Community Wellbeing, Engaged Scholarship, and Creating Futures
Co-Learning in Higher Education addresses topics critical to the future of higher education: the wellbeing of communities, engagement of scholars supporting new generations of social activists, and the renewal and expansion of educational and career pathways.It develops a theory of co-learning that engages students and professors across generations in partnerships with community organizations, schools, and corporations that solve emerging social and environmental challenges.Collaboratively written cases discuss community projects, engaging pedagogies, and action research projects.These co-cases demonstrate the power of using critical pedagogies and social action within troubling contexts, rather than assuming public policy changes are the only solution.Contributors explore mentoring, discuss pedagogies that promote community wellbeing and equity, address the urgency of change in universities, and reflect on the implications of this chaotic period for empowering social agency among youth in rising generations.This is a timely volume for scholars and students in higher education and educational policy.
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The Israeli Intelligence Community : An Insider's View
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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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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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How can one learn to become an electronics technician for industrial engineering or automation technology?
To become an electronics technician for industrial engineering or automation technology, one can start by pursuing a relevant educational program, such as an associate degree in electronics engineering technology or industrial automation. These programs typically cover topics such as electrical circuits, industrial control systems, and automation technologies. Additionally, gaining hands-on experience through internships or apprenticeships with companies in the industrial engineering or automation field can provide valuable practical skills. Seeking professional certifications, such as those offered by organizations like the International Society of Automation (ISA) or the Electronics Technicians Association (ETA), can also demonstrate expertise and knowledge in the field. Finally, staying updated with the latest advancements in industrial engineering and automation technology through continuous learning and professional development is essential for a successful career in this field.
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Is artificial intelligence an opportunity or a risk for learning in school?
Artificial intelligence can be both an opportunity and a risk for learning in school. On one hand, AI can personalize learning experiences, provide instant feedback, and offer additional resources to support student learning. This can enhance student engagement and understanding. However, there are also concerns about the potential for AI to replace teachers, compromise student privacy, and perpetuate biases in the learning process. Therefore, it is important for educators to carefully consider how to integrate AI into the classroom in a way that maximizes its benefits while minimizing its risks.
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