W. Newton Suter argues that what is important in a changing education landscape is the ability to think clearly about research methods, reason through complex problems and evaluate published research. He explains how to evaluate data and establish its relevance.
Support in higher education is an emerging area of great interest to professors, researchers and students in academic institutions. Sustainability in Higher Education provides discussions on the exchange of information between different aspects of sustainability in higher education. This book includes chapter contributions from authors who have provided case studies on various areas of education for sustainability. - Focus on sustainability - Present studies in aspects related with higher education - Explores a variety of educational aspects from an sustainable perspective
Language learning research aims to describe and fully explain how and why language learning takes place, but can fall short of its stated purpose. Systematic, rigorous research is needed if the growing field of language learning is to progress methodically. This book demonstrates and fully explains such a methodology. Given that research in language acquisition yields practical pedagogical implications, it is crucial that it is rigorous and accurate. This book offers a quantitative research methodology that relies on statistical analysis in order to make inferences and conclusions about language learning. Experimental research aims to understand differences between or within groups of learners under manipulated environments. It requires strict control of conditions, enabling interpretations with a low factor of error. Aek Phakiti provides step-by-step guidelines and underlying principles, epistemology and methodology, in a book that is essential for advanced students of language acquisition and language and education.
This accessible and authoritative introduction is essential for education students and researchers needing to use quantitative methods for the first time. Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book′s website, enabling students to practice the techniques for themselves. This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation. Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.
The field of design research has been gaining momentum over the last five years, particularly in educational studies. As papers and articles have grown in number, definition of the domain is now beginning to standardise. This book fulfils a growing need by providing a synthesised assessment of the use of development research in education. It looks at four main elements: background information including origins, definitions of development research, description of applications and benefits and risks associated with studies of this kind how the approach can serve the design of learning environments and educational technology quality assurance - how to safeguard academic rigor while conducting design and development studies a synthesis and overview of the topic along with relevant reflections.
Teaching for Learning and Learning for Teaching focuses on the emerging global governmental and institutional agenda about higher education teaching quality and the role that peer review can play in supporting improvements in teaching and student outcomes. This agenda is a pervasive element of the further development of higher education internationally through activities of governments, global agencies, institutions of higher education, discrete disciplines, and individual teachers. Many universities have adopted student evaluations as a mechanism to appraise the quality of teaching. These evaluations can be understood as providing a “customer-centric” portrait of quality; and, when used as the sole arbiter of teaching performance they do not instil confidence in the system of evaluation by academic teaching staff. Providing peer perspectives as counterpoint, whether in a developmental or summative form, goes some way to alleviating this imbalance and is the impetus for the resurgence of interest in peer review and observation of teaching. This book seeks to recognise cases of peer review of teaching in Higher Education to affirm best practices and identify areas that require improvement in establishing local, national and international benchmarks of teaching quality.
The need for more empathetic and community-focused students must begin with educators, as service-learning has begun to grow in popularity throughout the years. By implementing service and community aspects into the classroom at an early age, educators have a greater chance of influencing students and creating a new generation of service-minded individuals who care about their communities. Teachers must have the necessary skills and current information available to them to provide students with quality service learning and community engagement curricula. The Research Anthology on Service Learning and Community Engagement Teaching Practices provides a thorough investigation of the current trends, best practices, and challenges of teaching practices for service learning and community engagement. Using innovative research, it outlines the struggles, frameworks, and recommendations necessary for educators to engage students and provide them with a comprehensive education in service learning. Covering topics such as lesson planning, teacher education, and cultural humility, it is a crucial reference for educators, administrators, universities, lesson planners, researchers, academicians, and students.
We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control.