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Research Design and Methodology in Studies on L2 Tense and Aspect
Research Design and Methodology in Studies on Second Language Tense and Aspect provides an up-to-date review of past and current methodologies for the study of the L2 acquisition of tense and aspect. More specifically, the book addresses the following issues related to the design of studies for research in tense and aspect:
1. Theoretical frameworks (e.g., Are research questions investigated within one theoretical approach incompatible with other approaches?)
2. Elicitation procedures (Do different types of tasks elicit different types of tense-aspect data?)
3. Coding of data (e.g. How are lexical categories defined and coded?)
4. Data analysis (e.g., What statistical tests are more appropriate to analyze language data?)
The volume provides new insights into the study of L2 tense-aspect by bringing together well renowned scholars with experience in the research design of research this area of the field.
eBook
Multilingual text analysis : challenges, models, and approaches
Text analytics (TA) covers a very wide research area. Its overarching goal is to discover and present knowledge - facts, rules, and relationships - that is otherwise hidden in the textual content. The authors of this book guide us in a quest to attain this knowledge automatically, by applying various machine learning techniques. This book describes recent development in multilingual text analysis. It covers several specific examples of practical TA applications, including their problem statements, theoretical background, and implementation of the proposed solution. The reader can see which preprocessing techniques and text representation models were used, how the evaluation process was designed and implemented, and how these approaches can be adapted to multilingual domains.
Book
COMPLEX DYNAMIC SYSTEMS THEORY IN LANGUAGE LEARNING
A quarter of a century has passed since complex dynamic systems theory was proposed as an alternative paradigm to rethink and reexamine some of the main questions and phenomena in applied linguistics and language learning. In this article, we report a scoping review of the heterogenous body of research adopting this framework. We analyzed 158 reports satisfying our inclusion criteria (89 journal articles and 69 dissertations) for methodological characteristics and substantive contributions. We first highlight methodological trends in the report pool using a framework for dynamic method integration at the levels of study aim, unit of analysis, and choice of method. We then survey the main substantive contribution this body of research has made to the field. Finally, examination of study quality in these reports revealed a number of potential areas of improvement. We synthesize these insights in what we call the “nine tenets” of complex dynamic systems theory research, which we hope will help enhance the methodological rigor and the substantive contribution of future research.
Journal Article
Research tasks on identity in language learning and teaching
The growing interest in identity and language education over the past two decades, coupled with increased interest in digital technology and transnationalism, has resulted in a rich body of work that has informed language learning, teaching, and research. To keep abreast of these developments in identity research, the authors propose a series of research tasks arising from this changing landscape. To frame the discussion, they first examine how theories of identity have developed, and present a theoretical toolkit that might help scholars negotiate the fast evolving research area. In the second section, they present three broad and interrelated research questions relevant to identity in language learning and teaching, and describe nine research tasks that arise from the questions outlined. In the final section, they provide readers with a methodology toolkit to help carry out the research tasks discussed in the second section. By framing the nine proposed research tasks in relation to current theoretical and methodological developments, they provide a contemporary guide to research on identity in language learning and teaching. In doing so, the authors hope to contribute to a trajectory of vibrant and productive research in language education and applied linguistics.
Journal Article
Mixed-methods research in applied linguistics: Charting the progress through the second decade of the twenty-first century
This review of recent scholarship (RRS) paper is a follow-up of the first, published in this journal in 2014. For this RRS paper, we identified and included 304 mixed-methods research (MMR) papers published in 20 top-tier applied linguistics (AL) journals. We used a six-pronged quality and transparency framework to review and analyze the MMR studies, drawing on six quality frameworks and transparency discussions in the MMR literature. Using the quality and transparency framework, we report on: (1) which sources AL MMR researchers use to frame their studies, (2) how explicitly they explain the purpose and design structure of the MMR studies, (3) how transparently they describe method features (sampling procedures, data sources, and data analysis), and (4) how they integrate quantitative and qualitative data and analyses and construct meta-inferences. The results of the analyses will be reported and will show how MMR has developed and is represented in the published articles in the second decade of the twenty-first century. The discussion of the results will also highlight the areas future AL MMR researchers need to consider to make their studies and reports more rigorous and transparent.
Journal Article
Promises and perils of positionality statements
Positionality statements have increasingly become the norm in many strands of social science research, including applied linguistics. With reference to current research, theory, and the author’s own work, this paper reviews some of the promises and perils of such statements, including their performativity and lack of reflexivity. The author concludes by arguing that positionality statements need to offer both more and less, to be better targeted, and be more effectively and widely utilized within the field of applied linguistics.
Journal Article
Decolonizing Language Learning, Decolonizing Research
This volume explores the socio-political dynamics, historical forces, and unequal power relationships which mediate language ideologies in Mexican higher education settings, shedding light on the processes by which minority students learn new languages in post-colonial contexts. Drawing on data from a critical ethnographic case study of a Mexican university over several years, the book turns a critical lens on language learning autonomy and the use of the Common European Framework of Reference for Languages (CEFR) in post-colonial higher education settings, and advocates for an approach to the language learning and teaching process which takes into account minority language learners’ cultural heritage and localized knowledge. Despagne also showcases this approach in the unique research methodology which underpins the data, integrating participatory methods such as Interpretative Focus Groups in an attempt to decolonize research by engaging and involving participants in the analysis of data. Highlighting the importance of critical approaches in encouraging the equitable treatment of diverse cultures and languages and the development of agency in minority language learners, this book will be key reading for researchers in sociolinguistics, educational linguistics, applied linguistics, ethnography of communication, and linguistic anthropology.
eBook
Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review
Transformers are models that implement a mechanism of self-attention, individually weighting the importance of each part of the input data. Their use in image classification tasks is still somewhat limited since researchers have so far chosen Convolutional Neural Networks for image classification and transformers were more targeted to Natural Language Processing (NLP) tasks. Therefore, this paper presents a literature review that shows the differences between Vision Transformers (ViT) and Convolutional Neural Networks. The state of the art that used the two architectures for image classification was reviewed and an attempt was made to understand what factors may influence the performance of the two deep learning architectures based on the datasets used, image size, number of target classes (for the classification problems), hardware, and evaluated architectures and top results. The objective of this work is to identify which of the architectures is the best for image classification and under what conditions. This paper also describes the importance of the Multi-Head Attention mechanism for improving the performance of ViT in image classification.
Journal Article