Effective Use of Active Learning Applications

Effective Use of Active Learning Applications

Author: Meryem Nur Aydede Yalçin

Publisher: Tudás Alapítvány

Published: 2020-01-20

Total Pages: 194

ISBN-13:

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In modern education approach, development in the modern science and technology is directly related with the getting a success on the science education is accepted. So, all societies should be able to develop, understand and use the technology, and each person in the society should be literate of the science in today’s world. Therefore, learners of educational institutions / organizations should be grown having specific features like problem solving skills, critical thinking, creativity, independence, self confidence abilities. As a result having these skills and abilities depend on to have a learning process which have developed perfectly. In science education, instead of teacher-centered methodologies, learner centered ones should be included. This idea refers to active learning. The idea is to bring together the international group to share experiences and work together in the field of effective use of active learning applications in science education arose Life Long Learning programme Leonardo da Vinci Project. During the project, the contact pearson of each institution, Meryem Nur AYDEDE YALÇIN from Nigde University (Turkey), Elena Anghel from Training cons. 2005 (Romania), Giuseppe DOTI from Associazione Antares (Italy), Vida DRĄSUTĖ, VšĮ eMundus (Lithuania), Pedro José LEIVA PADILLA, Leiva Formacion (Spain), Christos NICOLAIDES, Dekaplus Business Services LTD (Cyprus), János PALOTÁS, Foundation of Knowledge (Hungary), Oana Cristina TURTOI, Repere Association Bacau Branch (Romania), Danutė VIZMANAITĖ, Trakų švietimo centras (Lithuania) discussed the lots of situations in effectiveness of active learning in different European Regions. This book brings some new views to active learning approach with the selection of the outputs of this project. You can find different usage of active learning applications of seven different countries (Turkey, Romania, Spain, Italy, Hungary, Lithuania and Cyprus) in this book.


Active Learning

Active Learning

Author: Charles C. Bonwell

Publisher:

Published: 1991

Total Pages: 136

ISBN-13:

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This monograph examines the nature of active learning at the higher education level, the empirical research on its use, the common obstacles and barriers that give rise to faculty resistance, and how faculty and staff can implement active learning techniques. A preliminary section defines active learning and looks at the current climate surrounding the concept. A second section, entitled "The Modified Lecture" offers ways that teachers can incorporate active learning into their most frequently used format: the lecture. The following section on classroom discussion explains the conditions and techniques needed for the most useful type of exchange. Other ways to promote active learning are also described including: visual learning, writing in class, problem solving, computer-based instruction, cooperative learning, debates, drama, role playing, simulations, games, and peer teaching. A section on obstacles to implementing active learning techniques leads naturally to the final section, "Conclusions and Recommendations," which outlines the roles that each group within the university can play in order to encourage the implementation of active learning strategies. The text includes over 200 references and an index. (JB)


Active Learning

Active Learning

Author: Burr Chen

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 100

ISBN-13: 3031015606

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The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or "query selection frameworks." We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations


Instruction in Libraries and Information Centers

Instruction in Libraries and Information Centers

Author: Laura Saunders

Publisher:

Published: 2020

Total Pages: 389

ISBN-13: 9781946011091

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"This open access textbook offers a comprehensive introduction to instruction in all types of library and information settings. Designed for students in library instruction courses, the text is also a resource for new and experienced professionals seeking best practices and selected resources to support their instructional practice. Organized around the backward design approach and written by LIS faculty members with expertise in teaching and learning, this book offers clear guidance on writing learning outcomes, designing assessments, and choosing and implementing instructional strategies, framed by clear and accessible explanations of learning theories. The text takes a critical approach to pedagogy and emphasizes inclusive and accessible instruction. Using a theory into practice approach that will move students from learning to praxis, each chapter includes practical examples, activities, and templates to aid readers in developing their own practice and materials."--Publisher's description.


How Students Learn

How Students Learn

Author: National Research Council

Publisher: National Academies Press

Published: 2005-01-23

Total Pages: 633

ISBN-13: 0309074339

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How do you get a fourth-grader excited about history? How do you even begin to persuade high school students that mathematical functions are relevant to their everyday lives? In this volume, practical questions that confront every classroom teacher are addressed using the latest exciting research on cognition, teaching, and learning. How Students Learn: History, Mathematics, and Science in the Classroom builds on the discoveries detailed in the bestselling How People Learn. Now, these findings are presented in a way that teachers can use immediately, to revitalize their work in the classroom for even greater effectiveness. Organized for utility, the book explores how the principles of learning can be applied in teaching history, science, and math topics at three levels: elementary, middle, and high school. Leading educators explain in detail how they developed successful curricula and teaching approaches, presenting strategies that serve as models for curriculum development and classroom instruction. Their recounting of personal teaching experiences lends strength and warmth to this volume. The book explores the importance of balancing students' knowledge of historical fact against their understanding of concepts, such as change and cause, and their skills in assessing historical accounts. It discusses how to build straightforward science experiments into true understanding of scientific principles. And it shows how to overcome the difficulties in teaching math to generate real insight and reasoning in math students. It also features illustrated suggestions for classroom activities. How Students Learn offers a highly useful blend of principle and practice. It will be important not only to teachers, administrators, curriculum designers, and teacher educators, but also to parents and the larger community concerned about children's education.


Deep Active Learning

Deep Active Learning

Author: Kayo Matsushita

Publisher: Springer

Published: 2017-09-12

Total Pages: 228

ISBN-13: 9811056609

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This is the first book to connect the concepts of active learning and deep learning, and to delineate theory and practice through collaboration between scholars in higher education from three countries (Japan, the United States, and Sweden) as well as different subject areas (education, psychology, learning science, teacher training, dentistry, and business).It is only since the beginning of the twenty-first century that active learning has become key to the shift from teaching to learning in Japanese higher education. However, “active learning” in Japan, as in many other countries, is just an umbrella term for teaching methods that promote students’ active participation, such as group work, discussions, presentations, and so on.What is needed for students is not just active learning but deep active learning. Deep learning focuses on content and quality of learning whereas active learning, especially in Japan, focuses on methods of learning. Deep active learning is placed at the intersection of active learning and deep learning, referring to learning that engages students with the world as an object of learning while interacting with others, and helps the students connect what they are learning with their previous knowledge and experiences as well as their future lives.What curricula, pedagogies, assessments and learning environments facilitate such deep active learning? This book attempts to respond to that question by linking theory with practice.


Active Learning Strategies in Higher Education

Active Learning Strategies in Higher Education

Author: Anastasia Misseyanni

Publisher: Emerald Group Publishing

Published: 2018-04-06

Total Pages: 422

ISBN-13: 1787144887

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This book focuses on selected best practices for effective active learning in Higher Education. Contributors present the epistemology of active learning along with specific case studies from different disciplines and countries. Discussing issues around ICTs, collaborative learning, experiential learning and other active learning strategies.


Hybrid Learning Spaces

Hybrid Learning Spaces

Author: Einat Gil

Publisher: Springer Nature

Published: 2022-02-04

Total Pages: 331

ISBN-13: 3030885208

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As we have come to accept the duality of physical and virtual learning spaces as a permanent feature of our educational landscape, we begin to question its validity. Is this really a dichotomy, or is it a continuum? Should this be the primary dimension around which we cluster educational experiences - how does it intersect and interact with other axes, such as formal-informal, vocational-recreational, open-closed, teacher-student? How do we adapt, as teachers, learners, designers, policy makers, to this changing landscape? How do we shape it to offer an optimal learning experience? Such questions led us to conduct a series of academic and professional events on the theme of Hybrid Learning Spaces (HLS) - spaces which challenge and defy the dichotomies above. This edited book collates some of the products of that endeavor, offering a multi-vocal, interdisciplinary approach to hybridity in education. It connects practical examples, design directives and theoretical analysis, combining perspectives from technology research and development, educational theory and practice, architecture and space and product design. This book addresses researchers, practitioners, innovators and policy makers in education, technology and design, offering broad perspectives and then distilling practical insights in the form of design principles and patterns, pedagogical models, and predictions of future trends.


Active Learning

Active Learning

Author: Sílvio Manuel Brito

Publisher: BoD – Books on Demand

Published: 2019-10-02

Total Pages: 164

ISBN-13: 1839622431

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Active learning is now a form of learning that accompanies the knowledge evolution that challenges the learner to promote it, but also encourages him to investigate and become emotionally involved in the task. The great key to obtaining this behavior successfully depends, therefore, on the subject's involvement and ability to undertake, so that active learning becomes emotional entrepreneurial learning that generates new ideas and new forms of knowledge. From memorization, we move on to inquiry, from questioning to constructive participation, from hypostasis to problem-solving, from generalization to critical thinking. When we look at this book, we see real examples, concrete, and senses, from the most important act of human nature: learning!


Encyclopedia of the Sciences of Learning

Encyclopedia of the Sciences of Learning

Author: Norbert M. Seel

Publisher: Springer Science & Business Media

Published: 2011-10-05

Total Pages: 3643

ISBN-13: 1441914277

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Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.