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Effective Use of Active Learning Applications

Effective Use of Active Learning Applications PDF Author: Meryem Nur Aydede Yalçin
Publisher: Tudás Alapítvány
ISBN:
Category : Juvenile Nonfiction
Languages : en
Pages : 194

Book Description
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.

Effective Use of Active Learning Applications

Effective Use of Active Learning Applications PDF Author: Meryem Nur Aydede Yalçin
Publisher: Tudás Alapítvány
ISBN:
Category : Juvenile Nonfiction
Languages : en
Pages : 194

Book Description
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.

Instruction in Libraries and Information Centers

Instruction in Libraries and Information Centers PDF Author: Laura Saunders
Publisher:
ISBN: 9781946011091
Category : Academic libraries
Languages : en
Pages : 389

Book Description
"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.

Active Learning

Active Learning PDF Author: Burr Chen
Publisher: Springer Nature
ISBN: 3031015606
Category : Computers
Languages : en
Pages : 100

Book Description
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

Small Teaching

Small Teaching PDF Author: James M. Lang
Publisher: John Wiley & Sons
ISBN: 1118944496
Category : Education
Languages : en
Pages : 272

Book Description
Employ cognitive theory in the classroom every day Research into how we learn has opened the door for utilizing cognitive theory to facilitate better student learning. But that's easier said than done. Many books about cognitive theory introduce radical but impractical theories, failing to make the connection to the classroom. In Small Teaching, James Lang presents a strategy for improving student learning with a series of modest but powerful changes that make a big difference—many of which can be put into practice in a single class period. These strategies are designed to bridge the chasm between primary research and the classroom environment in a way that can be implemented by any faculty in any discipline, and even integrated into pre-existing teaching techniques. Learn, for example: How does one become good at retrieving knowledge from memory? How does making predictions now help us learn in the future? How do instructors instill fixed or growth mindsets in their students? Each chapter introduces a basic concept in cognitive theory, explains when and how it should be employed, and provides firm examples of how the intervention has been or could be used in a variety of disciplines. Small teaching techniques include brief classroom or online learning activities, one-time interventions, and small modifications in course design or communication with students.

Active Learning Strategies in Higher Education

Active Learning Strategies in Higher Education PDF Author: Anastasia Misseyanni
Publisher: Emerald Group Publishing
ISBN: 1787144887
Category : Education
Languages : en
Pages : 422

Book Description
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.

Transformational Change Efforts: Student Engagement in Mathematics through an Institutional Network for Active Learning

Transformational Change Efforts: Student Engagement in Mathematics through an Institutional Network for Active Learning PDF Author: Wendy M. Smith
Publisher: American Mathematical Soc.
ISBN: 1470463776
Category : Education
Languages : en
Pages : 348

Book Description
The purpose of this handbook is to help launch institutional transformations in mathematics departments to improve student success. We report findings from the Student Engagement in Mathematics through an Institutional Network for Active Learning (SEMINAL) study. SEMINAL's purpose is to help change agents, those looking to (or currently attempting to) enact change within mathematics departments and beyond—trying to reform the instruction of their lower division mathematics courses in order to promote high achievement for all students. SEMINAL specifically studies the change mechanisms that allow postsecondary institutions to incorporate and sustain active learning in Precalculus to Calculus 2 learning environments. Out of the approximately 2.5 million students enrolled in collegiate mathematics courses each year, over 90% are enrolled in Precalculus to Calculus 2 courses. Forty-four percent of mathematics departments think active learning mathematics strategies are important for Precalculus to Calculus 2 courses, but only 15 percnt state that they are very successful at implementing them. Therefore, insights into the following research question will help with institutional transformations: What conditions, strategies, interventions and actions at the departmental and classroom levels contribute to the initiation, implementation, and institutional sustainability of active learning in the undergraduate calculus sequence (Precalculus to Calculus 2) across varied institutions?

Deep Active Learning

Deep Active Learning PDF Author: Kayo Matsushita
Publisher: Springer
ISBN: 9811056609
Category : Education
Languages : en
Pages : 226

Book Description
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.

Real World Active Learning

Real World Active Learning PDF Author: Ted Cuzzillo
Publisher:
ISBN:
Category : Data mining
Languages : en
Pages :

Book Description


Teach Students How to Learn

Teach Students How to Learn PDF Author: Saundra Yancy McGuire
Publisher: Taylor & Francis
ISBN: 100097815X
Category : Education
Languages : en
Pages : 182

Book Description
Co-published with and Miriam, a freshman Calculus student at Louisiana State University, made 37.5% on her first exam but 83% and 93% on the next two. Matt, a first year General Chemistry student at the University of Utah, scored 65% and 55% on his first two exams and 95% on his third—These are representative of thousands of students who decisively improved their grades by acting on the advice described in this book.What is preventing your students from performing according to expectations? Saundra McGuire offers a simple but profound answer: If you teach students how to learn and give them simple, straightforward strategies to use, they can significantly increase their learning and performance. For over a decade Saundra McGuire has been acclaimed for her presentations and workshops on metacognition and student learning because the tools and strategies she shares have enabled faculty to facilitate dramatic improvements in student learning and success. This book encapsulates the model and ideas she has developed in the past fifteen years, ideas that are being adopted by an increasing number of faculty with considerable effect.The methods she proposes do not require restructuring courses or an inordinate amount of time to teach. They can often be accomplished in a single session, transforming students from memorizers and regurgitators to students who begin to think critically and take responsibility for their own learning. Saundra McGuire takes the reader sequentially through the ideas and strategies that students need to understand and implement. First, she demonstrates how introducing students to metacognition and Bloom’s Taxonomy reveals to them the importance of understanding how they learn and provides the lens through which they can view learning activities and measure their intellectual growth. Next, she presents a specific study system that can quickly empower students to maximize their learning. Then, she addresses the importance of dealing with emotion, attitudes, and motivation by suggesting ways to change students’ mindsets about ability and by providing a range of strategies to boost motivation and learning; finally, she offers guidance to faculty on partnering with campus learning centers.She pays particular attention to academically unprepared students, noting that the strategies she offers for this particular population are equally beneficial for all students. While stressing that there are many ways to teach effectively, and that readers can be flexible in picking and choosing among the strategies she presents, Saundra McGuire offers the reader a step-by-step process for delivering the key messages of the book to students in as little as 50 minutes. Free online supplements provide three slide sets and a sample video lecture.This book is written primarily for faculty but will be equally useful for TAs, tutors, and learning center professionals. For readers with no background in education or cognitive psychology, the book avoids jargon and esoteric theory.

Human-in-the-Loop Machine Learning

Human-in-the-Loop Machine Learning PDF Author: Robert Munro
Publisher: Simon and Schuster
ISBN: 1617296740
Category : Computers
Languages : en
Pages : 422

Book Description
Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.