Focused on exploring human experience from an authentic researcher perspective, Heuristic Inquiry: Researching Human Experience Holistically presents heuristic inquiry as a unique phenomenological, experiential, and relational approach to qualitative research that is also rigorous and evidence-based. Nevine Sultan describes a distinguishing perspective of this research that treats participants not as subjects of research but rather as co-researchers in an exploratory process marked by genuineness and intersubjectivity. Through the use of real-life examples illustrating the various processes of heuristic research, the book offers an understanding of heuristic inquiry that is straightforward and informal yet honors its creative, intuitive, and poly-dimensional nature.
Well-organized and well-referenced, this book gives a clear presentation of heuristic methodology as a systematic form of qualitative research. Investigators of human experiences will find this book invaluable as a research guide. The author illustrates how heuristic concepts and processes form components of the research design and become the basis for a methodology. There is a clear explanation of how heuristic inquiry works in practice and the actual process of conducting a human science investigation is described in detail.
Many resources exist to help new doctoral investigators to understand and engage with the tenets and philosophies that underpin doctoral-level research to allow for a sample of self-as-subject research. Every day, new forms of researcher-participant data collection and analysis protocols and contributions to the respective discipline in the use of these methods are designed by doctoral researchers and other scholars for heuristic inquiry and autoethnography. Autoethnography and Heuristic Inquiry for Doctoral-Level Researchers: Emerging Research and Opportunities is an essential research publication that explores the conventions of autoethnography or heuristic research within the specific context of doctoral-level research. In contrast to similar resources, this book presents various and unique systematic methods and procedures used within current research for data collection, analysis, interpretation and representations of data, and study contributions to illustrate the varied nuances and many choices doctoral-level researchers have when their research design is founded on the principles and tenets of autoethnography or heuristic inquiry. Thus, this book is ideal for doctoral research supervisors, doctoral students, independent researchers, and academicians.
Transcendent Teacher Learner Relationships: The Way of the Shamanic Teacher (Second Edition) explores the nature of the transcendent teacher learner relationship and precisely how such relationships of warmth, safety, mutual care, mutual respect and mutual trust are developed and maintained.
The authors explain and discuss a series of transpersonal research methods designed to help researchers develop new ways of investigating extraordinary human experiences of a subjective nature.
Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches. The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.
"This book consists of 19 chapters on heuristics written by 21 diverse researchers. Heuristics are reflexive tools, designed to heighten awareness of actions and thereby afford reflection and other contemplative activities that can catalyze desired changes. The 33 heuristics provided in the book have been produced, revised, and adapted in more than two decades of scholarship. Six key foci are addressed in Transforming Learning and Teaching: Heuristics for Educative and Responsible Practices with respect to heuristics: teaching and learning, learning to teach, emotions, wellness, contemplative activities, and harmony. The book is an ideal resource for researchers in education and the social sciences, and an excellent text for graduate level courses in which research, professional development and transformative change are goals"--
Focused on exploring human experience from an authentic researcher perspective, Heuristic Inquiry: Researching Human Experience Holistically presents heuristic inquiry as a unique phenomenological, experiential, and relational approach to qualitative research that is also rigorous and evidence-based. Nevine Sultan describes a distinguishing perspective of this research that treats participants not as subjects of research but rather as co-researchers in an exploratory process marked by genuineness and intersubjectivity. Through the use of real-life examples illustrating the various processes of heuristic research, the book offers an understanding of heuristic inquiry that is straightforward and informal yet honors its creative, intuitive, and poly-dimensional nature.
Narrative Inquiry provides both a new theoretical orientation and a set of practical techniques that students and experienced researchers can use to conduct narrative research. Explaining the principles of what she terms "dynamic narrating," author Colette Daiute provides an approach to narrative inquiry that builds on practices of daily life where we use storytelling to connect with other people, deal with social structures, make sense of surrounding events, and craft our own way of fitting in with various contexts. Throughout the book, Daiute illustrates and applies narrative inquiry with a wide variety of examples, practical activities, charts, suggestions for interpreting analyses, and tips on writing up results. Narrative Inquiry integrates cultural-historical activity, discourse theories (including critical discourse theory and conversation analysis), and interdisciplinary research on narrative as applied to a range of research projects in different cultural settings.
Employ heuristic adjustments for truly accurate analysis Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical tools, the book describes the analytical process from exploratory analysis through model developments, to deployments and possible outcomes. Beginning with an introduction to heuristic concepts, readers will find heuristics applied to statistics and probability, mathematics, stochastic, and artificial intelligence models, ending with the knowledge applications that solve business problems. Case studies illustrate the everyday application and implication of the techniques presented, while the heuristic approach is integrated into analytical modeling, graph analysis, text analytics, and more. Robust analytics has become crucial in the corporate environment, and randomness plays an enormous role in business and the competitive marketplace. Failing to account for randomness can steer a model in an entirely wrong direction, negatively affecting the final outcome and potentially devastating the bottom line. Heuristics in Analytics describes how the heuristic characteristics of analysis can be overcome with problem design, math and statistics, helping readers to: Realize just how random the world is, and how unplanned events can affect analysis Integrate heuristic and analytical approaches to modeling and problem solving Discover how graph analysis is applied in real-world scenarios around the globe Apply analytical knowledge to customer behavior, insolvency prevention, fraud detection, and more Understand how text analytics can be applied to increase the business knowledge Every single factor, no matter how large or how small, must be taken into account when modeling a scenario or event—even the unknowns. The presence or absence of even a single detail can dramatically alter eventual outcomes. From raw data to final report, Heuristics in Analytics contains the information analysts need to improve accuracy, and ultimately, predictive, and descriptive power.
