Products related to Learning:
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Learning Innovation and the Future of Higher Education
Giving higher education professionals the language and tools they need to seize new opportunities in digital learning. A quiet revolution is sweeping across US colleges and universities.As schools rethink how students learn - both inside and outside the classroom - technology is changing not only what should be taught but how best to teach it.From active learning and inclusive pedagogy to online and hybrid courses, traditional institutions are leveraging their fundamental strengths while challenging long-standing assumptions about how teaching and learning happen.At this intersection of learning, technology, design, and organizational change lies the foundation of a new academic discipline of digital learning.Coalescing around this new field of study is a common critical language, along with a set of theoretical frameworks, methodological practices, and shared challenges and goals.In Learning Innovation and the Future of Higher Education, Joshua Kim and Edward Maloney explore the context of this new discipline, show how it exists within a larger body of scholarship, and give examples of how this scholarship is being used on campuses. What Kim and Maloney demonstrate in this foundational text is an understanding that change is a complex dynamic between what happens in the classroom and the larger institutional structures and traditions at play.Ultimately, the authors make a compelling case not only for this turn to learning but also for creating new pathways for nonfaculty learning careers, understanding the limits of professional organizations and social media, and the need to establish this new interdisciplinary field of learning innovation.
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Data Analytics and Adaptive Learning : Research Perspectives
Data Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings.In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments.This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K–12, and adult/continuing education contexts.By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning.
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Action Research in Education : Learning Through Practitioner Enquiry
Action Research in Education is an essential guide for any lecturer, teacher or student-teacher interested in doing research.This exciting new edition of a popular text is an important resource for any education professional interested in investigating learning and teaching.Building on the success of Action Research in the Classroom, the authors have revised, updated and extended this book to include examples from further and higher education. It maps out easy-to-follow steps for usefully applying an action research approach and is full of practical tips and examples of real practitioner research projects from a range of schools, colleges and universities.This book will help teachers to:- understand and apply practitioner inquiry- enhance their problem-solving skills- locate their own activity in a wider context- maximise opportunities to develop practice- evaluate the needs of their learnersClear, pragmatic and timely, this is a must-have text for all teachers and students of education. Vivienne Baumfield is Professor of Pedagogy, Policy and Innovation in the School of Education, University of GlasgowElaine Hall is Lecturer in Research Methods, School of Education, Communication and Language Sciences, Newcastle UniversityKate Wall is Senior Lecturer in the School of Education, Durham University
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Practical Vision Science : Learning Through Experimentation
This workbook provides a collection of experiments and observations that use physical materials (rather than digital displays or resources) to reveal fundamental properties of the human visual system. Practical Vision Science centers discovery, observation, and critical thinking.By observing and manipulating visual phenomena, readers gain insights regarding visual processing from the outside world into high-level areas of the visual cortex.The text covers geometric optics, image formation, early stages of visual processing, and inferences regarding brightness, color, depth, motion, and form.The goal is to highlight the critical role that observation of one’s own sensory experiences plays in vision science, while introducing phenomena that provide clues about the computations and constraints that shape our experience of the visual world.Each exercise can be completed with everyday materials, and the text includes discussion of key phenomena readers should be able to observe and the implications of these effects for underlying mechanisms that support visual experience in each case. Practical Vision Science is an essential text for upper undergraduate and postgraduate students of Sensation and Perception, providing the opportunity to learn by doing things rather than reading facts about the visual system on the page.
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What is the research question regarding animal experimentation?
The research question regarding animal experimentation is typically focused on understanding the potential benefits and ethical considerations of using animals in scientific research. Researchers may investigate the effectiveness of animal models in studying human diseases, the development of alternative methods to reduce or replace animal use, and the ethical implications of using animals in research. Additionally, the research question may also explore the impact of animal experimentation on animal welfare and the potential for translating findings from animal studies to human health outcomes.
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What learning objectives can be set in relation to communication?
Learning objectives related to communication can include improving active listening skills, developing effective verbal and nonverbal communication, understanding different communication styles, and enhancing interpersonal communication skills. Additionally, objectives can focus on improving written communication, such as crafting clear and concise messages, and developing the ability to adapt communication to different audiences and contexts. Overall, the goal is to help individuals become more effective and confident communicators in both personal and professional settings.
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What is the difference between learning and education?
Learning is the process of acquiring knowledge, skills, and understanding through various experiences, interactions, and self-study. It is a lifelong process that occurs both inside and outside of formal educational settings. Education, on the other hand, refers to the structured and systematic process of imparting knowledge, skills, and values to individuals through institutions such as schools, colleges, and universities. While learning can take place in a variety of informal and non-traditional ways, education typically follows a more formalized curriculum and is often guided by specific learning objectives and outcomes.
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How can one complete further education through distance learning?
One can complete further education through distance learning by enrolling in online courses or programs offered by universities, colleges, or online learning platforms. These courses allow students to study at their own pace and from anywhere with an internet connection. Additionally, one can pursue a degree through distance learning by enrolling in online degree programs offered by accredited institutions. Distance learning provides flexibility and convenience for individuals who may not be able to attend traditional on-campus classes.
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Re-theorising Learning and Research Methods in Learning Research
Re-Theorising Learning and Research Methods in Learning Research explores the latest developments in the field of learning theory, offering an overview of emerging methods and demonstrating how recent research contributes to furthering understanding of learning.This book illustrates how theory and methods inform one another, facilitating advancements in the field, while addressing the ways in which societal and technological change create a need for adapting approaches to examining learning.Drawing on an international team of contributors, this book comprises 17 chapters and three commentaries, thematically organised into three broad sections:emerging theories and conceptualisations of learning and how they drive methodological developmentnew methods or innovative use of existing methods and their contribution to theory developmenttheories and methods that emerge in connection with societal changesBoth novice researchers and more experienced scholars will benefit from an overview of recent theoretical and methodological advances in the learning research field.This is an invaluable resource for researchers in the learning and educational research field and will also support Masters and PhD students to understand how learning theories and research methodology in the field have been evolving in recent years.
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Cooperative Learning in Physical Education : A research based approach
Cooperative Learning is a dynamic instructional model that can teach diverse content to students at different grade levels, with students working together in small, structured, heterogeneous groups to master subject content.It has a strong research tradition, is used frequently as a professional development tool in general education and is now emerging in physical education. This book defines Cooperative Learning in physical education and examines how to implement Cooperative Learning in a variety of educational settings.It explores Cooperative Learning in physical education from three main perspectives.The first, context of learning, provides descriptions of Cooperative Learning in different levels of education (elementary school, secondary school, and university physical education).The second, Cooperative Learning in the curriculum, offers case studies from teachers and researchers of their experiences of implementing Cooperative Learning within their own national context.The third perspective, key aspects of Cooperative Learning, examines how the different elements of the model have been foregrounded in efforts to enhance learning in physical education. As the only text to provide international perspectives, from eight different countries, of Cooperative Learning in physical education, this book is important reading for any student, researcher or teacher with an interest in physical education, sport education, sport pedagogy, curriculum development or methods for learning and teaching.
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Fostering Communication and Learning With Underutilized Technologies in Higher Education
Higher education is undergoing radical changes with the arrival of emerging technology that can facilitate better teaching and learning experiences.However, with a lack of technical awareness, technophobia, and security and trust issues, there are several barriers to the uptake of emerging technologies.As a result, many of these new technologies have been overlooked or underutilized.In the information systems and higher education domains, there exists a need to explore underutilized technologies in higher education that can foster communication and learning.Fostering Communication and Learning With Underutilized Technologies in Higher Education is a critical reference source that provides contemporary theories in the area of technology-driven communication and learning in higher education.The book offers new knowledge about educational technologies and explores such themes as artificial intelligence, digital learning platforms, gamification tools, and interactive exhibits.The target audience includes researchers, academicians, practitioners, and students who are working or have a keen interest in information systems, learning technologies, and technology-led teaching and learning.Moreover, the book provides an understanding and support to higher education practitioners, faculty, educational board members, technology vendors and firms, and the Ministry of Education.
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Communities of Practice in Higher Education : Learning, Teaching, and Research
Drawing on research and practice, this key text provides a rich, detailed, and accessible guide to Communities of Practice (CoPs) theory and how to implement it within higher education.It takes a detailed look at how the theory is constructed, the research that it rests on, and the ways that it has been used and can be used in the future. Beginning by introducing CoP theory and the theory of learning that accompanies it, this book provides empirical examples of CoP research to illustrate how CoPs form and work within higher education.It also explores how different CoPs work together and can learn from each other.The key topics explored in the book allow the reader to critically understand how CoP theory can be used in higher education to enhance an understanding of how students, staff, and organisations learn. Ideal reading for those researching higher education practices or undertaking higher education teaching qualifications as well as those currently teaching, this book provides a research-led and critical discussion of the current state of CoP-informed research into learning, teaching, and assessment practices alongside and interleaved with an exploration of how this same approach can be utilised for informing research.
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To what extent is education a stimulus for learning?
Education serves as a significant stimulus for learning by providing structured knowledge, resources, and opportunities for individuals to acquire new skills and information. It acts as a foundation that ignites curiosity, critical thinking, and problem-solving abilities in learners. However, the extent to which education stimulates learning also depends on the individual's motivation, engagement, and willingness to actively participate in the learning process. Ultimately, education can serve as a catalyst for lifelong learning and personal growth when coupled with a proactive and open-minded approach to acquiring knowledge.
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How can one pursue further education through distance learning?
One can pursue further education through distance learning by researching and identifying accredited online programs or universities that offer the desired course or degree. It is important to ensure that the institution is reputable and recognized. Once a suitable program is found, one can apply for admission, complete the required coursework remotely, and engage with professors and classmates through virtual platforms. Regular communication with instructors and staying organized with assignments and deadlines are key to succeeding in distance learning.
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What is the connection between learning, upbringing, and education?
Learning, upbringing, and education are interconnected in that they all contribute to the development and growth of an individual. Upbringing shapes a person's values, beliefs, and attitudes, which in turn influence their approach to learning and education. Education provides the formal structure and guidance for learning, while learning is the process of acquiring knowledge, skills, and understanding. Together, they form a continuous cycle that shapes an individual's intellectual, emotional, and social development.
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Why deep learning compared to machine learning?
Deep learning is a subset of machine learning that uses neural networks to learn from data. It is more powerful than traditional machine learning techniques because it can automatically discover and learn from complex patterns and features in the data without the need for explicit feature engineering. Deep learning can handle large amounts of data and is capable of learning from unstructured data such as images, audio, and text, making it more versatile and effective for a wide range of applications. Additionally, deep learning models can continuously improve their performance with more data, making them more adaptable and scalable compared to traditional machine learning models.
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