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This book highlights reliable, valid and practical testing and assessment of interpreting, presenting important developments in China, where testing and assessment have long been a major concern for interpreting educators and researchers, but have remained largely under-reported. The book not only offers theoretical insights into potential issues and problems undermining interpreting assessment, but also describes useful measurement models to address such concerns. Showcasing the latest Chinese research to create rubrics-referenced rating scales, enhance formative assessment practice, and explore (semi-)automated assessment, the book is a valuable resource for educators, trainers and researchers, enabling to gain a better understanding of interpreting testing and assessment as both a worthwhile endeavor and a promising research area.
First Published in 2007. Routledge is an imprint of Taylor & Francis, an informa company.
This edited volume addresses issues that promote the notion of Classroom-based Language Assessment (CBLA) for the academic community and beyond. The book explores recent thinking and research on CBLA within the fields of language testing, assessment and general education based on theoretical and research papers presented at the recent CBLA SIG – EALTA Symposia held in Cyprus and the pre-conference EALTA workshops in various countries around Europe. The volume contains 17 chapters which involve both high-stakes tests and classroom-based assessments conducted by academics, professionals and researchers in the field. It brings together high-quality submissions that cover a gap in a research area that has long been in need of theoretical and empirical attention. Overall, this edited collection, with its international scope, offers a ground-breaking resource, bringing together in balanced relationship the fields of education and second language testing and assessment.
This collection sets out an innovative research agenda for advancing a multidisciplinary approach to genre, bringing together researchers from a variety of disciplines to enhance our existing understanding of the challenges and opportunities for current and future genre research. The volume brings together perspectives from across disciplinary borders, including such fields as discourse studies, cognitive studies, computational discourse analysis, and education, to advance genre research into new directions, as it has historically been studied from a mono-disciplinary perspective. The book highlights how fruitful a multidisciplinary approach can be in accounting for the dynamic complexity of...
For more than two decades now, cognitive science has been making overtures to literature and literary studies. Only recently, however, cognitive linguistics and poetics seem to be moving towards a more serious and reciprocal type of interdisciplinarity. In coupling cognitive linguistics and poetics, cognitive poeticians aim to offer cognitive readings of literary texts and formulate specific hypotheses concerning the relationship between aesthetic meaning effects and patterns in the cognitive construal and processing of literary texts. One of the basic assumptions of the endeavour is that some of the key topics in poetics (such as the construction of text worlds, characterization, narrative ...
Recent work has pointed to the need for a detection-based approach to transfer capable of discovering elusive crosslinguistic effects through the use of human judges and computer classifiers that can learn to predict learners’ language backgrounds based on their patterns of language use. This book addresses that need. It details the nature of the detection-based approach, discusses how this approach fits into the overall scope of transfer research, and discusses the few previous studies that have laid the groundwork for this approach. The core of the book consists of five empirical studies that use computer classifiers to detect the native-language affiliations of texts written by foreign language learners of English. The results highlight combinations of language features that are the most reliable predictors of learners’ language backgrounds.
This book describes Coh-Metrix, a powerful computational tool that provides a wide range of language and discourse measures.
There is commonly-held belief that some people learn better than others because they are born that way. However, research indicates that many people who learn better are simply more strategic: they use effective strategies and techniques to improve their learning. Further, these strategies and techniques can be taught to students. Thus, understanding how we learn enriches our lives and the lives of others. Written by leading experts on learning, this book situates this topic within the broader context of educational psychology research and brings it to a wider audience. With chapters on how the mind works, evidence-based recommendations about how to enhance learning from both the perspective of students and teachers, and clear explanations of key learning concepts and ideas, this short volume is designed for any education course that includes learning in the curriculum. It is indispensable for pre- and in-service teachers and student researchers alike.
This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.* The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. *The conference was held virtually due to the COVID-19 pandemic.
Language researchers and practitioners often adopt tools and techniques without testing whether they really work as they should. This is understandable because most scholars do not have the time or expertise to properly evaluate the usefulness of all instruments, measures, and methods they need. It is therefore critical to have problem solvers in the field who gain the necessary expertise and take the time to scrutinize existing methods, identify problems, and offer new solutions. This volume represents the work of scholars who have done this; it is a collection of the latest advances, developments, and innovations regarding the modeling and measurement of learners’ vocabulary growth curves, current levels of vocabulary knowledge and lexical proficiency, and the patterns of lexical diversity found in their language production. Several of the contributors also address the complex but important relationship between automated indices and human judgments of learners’ lexical patterns and abilities.