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With clear guides and specific examples, this book makes methodology accessible to those working within L2 interaction and task research.
Table des matières
1. Theory and approaches in research into interaction, corrective feedback, and tasks in L2 learning; 2. Designing studies of the roles of interaction, feedback and tasks in Second Language Learning; 3. How to investigate individual differences in interaction, feedback and task studies: Aptitude, working memory, cognitive creativity and new findings in L2 learning; 4. Collecting introspective data in interaction, feedback and task research; 5. Creating and using surveys, interviews and mixed methods for research into interaction, corrective feedback, tasks and L2 learning; 6. Doing meta-analytic and synthetic research on interaction, feedback, tasks, and L2 learning; 7. Investigating interaction, feedback and tasks and L2 learning in instructional settings; 8. Choosing and using eye-tracking, imaging and prompted production measures to investigate interaction, feedback and tasks in L2 learning; 9. Working with data in interaction, feedback and task research; 10. Common problems, pitfalls and how to address them in research on interaction, corrective feedback, and tasks in L2 learning.
A propos de l'auteur
Alison Mackey is a leading international expert in input, interaction and feedback in L2 learning, and in L2 research methodology. She has published 16 books (one of which won the MLA's Mildenburger prize) and 100+ articles in these areas. At Georgetown University, where she is Professor of Linguistics, she has received both The President's Award for Distinguished Scholar Teachers and The Provost's Career Research Award.
Résumé
With discipline-specific examples and clear step-by-step guides used throughout, this book makes second language research methodology accessible for novice researchers, and serves as a resource for more experienced researchers working in the areas of second language interaction and feedback and in task based language teaching and learning.
