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!

This book discusses activity-based collaborative active learning (CAL) approaches in connection with the learning and teaching of STEM and non-STEM disciplines. It also covers feedback and assessment activities as learning activities supported by learning technologies and applied in appropriate learning spaces. The contributing authors discuss in detail the implementation and facilitation of activity-based CAL strategies, the problems encountered and corresponding mitigation measures. In addition, all activities are developed in a blended mode, making them suitable for readers at any level of education who are interested in trying out CAL. Covering both STEM and non-STEM disciplines, this book offers comprehensive guidelines for lecturers who are interested in active learning.

This book promotes student-centered approaches to the learning process, allowing students to develop skills and competences that traditional, passive learning methods cannot foster. In turn, supporting active learning with digital technology tools creates new possibilities in terms of pedagogical design and implementation. This book addresses the latest research and practice in the use of technology to promote active learning. As such, on the one hand, it focuses on active pedagogical methodologies like problem-based learning, design thinking and agile approaches; on the other, it presents best practice cases on the use of digital environments to support these methodologies. Readers will come to understand and learn to apply active learning methodologies, either by replicating the best practices presented here, or by creating their own methods.

This book examines significant issues in geography teaching and learning from the perspectives of an international network of academic geographers and postgraduate students. Drawing on classroom experiences and research in a wide variety of educational settings, the authors describe conceptually interesting and practical applications for enhancing student learning through inquiry, problem-based learning, field study, online collaboration, and other highly engaging forms of pedagogy. Other articles focus on approaches for improving the experiences of distance learners, strategies for enhancing the employability of geography students, and preparing students to engage ethical issues in the discipline. An international audience of educators will find much of value through the use of comparative examples, literature reviews encompassing research in multiple national contexts, and an underlying awareness of the diversity of practices in higher education internationally. This book is a collection of articles previously published in two special issues of the Journal of Geography in Higher Education.

A practical work outlining the theory and practice of using active learning techniques in library settings. It explains the theory of active learning and argues for its importance in our teaching and is illustrated using a large number of examples of techniques that can be easily transferred and used in teaching library and information skills to a range of learners within all library sectors. These practical examples recognise that for most of us involved in teaching library and information skills the one off session is the norm, so we need techniques that allow us to quickly grab and hold our learners' attention. The examples are equally useful to those new to teaching, who wish to bring active learning into their sessions for the first time, as to those more experienced who want to refresh their teaching with some new ideas and to carry on their development as librarian teachers. - Outlines the argument for more active learning techniques in our sessions - Explains the theory of active learning - Includes examples that can be used in teaching

This book represents the emerging efforts of a growing international network of researchers and practitioners to promote the development and uptake of evidence-based pedagogies in higher education, at something a level approaching large-scale impact. By offering a communication venue that attracts and enhances much needed partnerships among practitioners and researchers in pedagogical innovation, we aim to change the conversation and focus on how we work and learn together – i.e. extending the implementation and knowledge of co–design methods. In this first edition of our Research Topic on Active Learning, we highlight two (of the three) types of publications we wish to promote. First are studies aimed at understanding the pedagogical designs developed by practitioners in their own practices by bringing to bear the theoretical lenses developed and tested in the education research community. These types of studies constitute the "practice pull" that we see as a necessary counterbalance to "knowledge push" in a more productive pedagogical innovation ecosystem based on research-practitioner partnerships. Second are studies empirically examining the implementations of evidence-based designs in naturalistic settings and under naturalistic conditions. Interestingly, the teams conducting these studies are already exemplars of partnerships between researchers and practitioners who are uniquely positioned as “in-betweens” straddling the two worlds. As a result, these publications represent both the rigours of research and the pragmatism of reflective practice. In forthcoming editions, we will add to this collection a third type of publication -- design profiles. These will present practitioner-developed pedagogical designs at varying levels of abstraction to be held to scrutiny amongst practitioners, instructional designers and researchers alike. We hope by bringing these types of studies together in an open access format that we may contribute to the development of new forms of practitioner-researcher interactions that promote co-design in pedagogical innovation.

Although the field of child and adolescent development seems to be an easy one in which to provide active learning opportunities to students, few textbooks currently exist that actually do this.

Keys to engaging secondary students Research shows that all students—regardless of learning style, disability category, or language difference—learn more effectively when they are engaged in active learning. This book shows teachers how to help all students achieve positive learning outcomes. The authors provide a compilation of strategies that serve as blueprints for instructional design and directions for using them across a variety of content areas. The many benefits of active learning include: A more engaged and interactive classroom Increased self-directed learning Development of higher-order thinking skills such as analysis, synthesis, evaluation Improved reading, discussion, and writing competencies

This book focuses on large and small group educational settings and offers brief strategies to engage learners to assure active learning strategies are core to the learning environment. The book opens with an introduction on active learning principles. Each chapter follows with a specific description of a strategy written by authors who are experienced in using the strategy in a classroom environment with students. The chapters are designed to be accessible and practical for the reader to apply in their learning environments.

Future epidemics are inevitable, and it takes months and even years to collect fully annotated data. The sheer magnitude of data required for machine learning algorithms, spanning both shallow and deep structures, raises a fundamental question: how big data is big enough to effectively tackle future epidemics? In this context, active learning, often referred to as human or expert-in-the-loop learning, becomes imperative, enabling machines to commence learning from day one with minimal labeled data. In unsupervised learning, the focus shifts toward constructing advanced machine learning models like deep structured networks that autonomously learn over time, with human or expert intervention only when errors occur and for limited data—a process we term mentoring. In the context of Covid-19, this book explores the use of deep features to classify data into two clusters (0/1: Covid-19/non-Covid-19) across three distinct datasets: cough sound, Computed Tomography (CT) scan, and chest x-ray (CXR). Not to be confused, our primary objective is to provide a strong assertion on how active learning could potentially be used to predict disease from any upcoming epidemics. Upon request (education/training purpose), GitHub source codes are provided.