AI-Assisted Research Methods in Foreign Language Education - Softcover

Inhaltsangabe

AI-Assisted Research Methods in Foreign Language Education offers a comprehensive, practical framework for answering that question. Rather than presenting AI as a replacement for research expertise, the book places methodological reasoning at the center of the research process. Its guiding principle is simple: The researcher leads; AI assists.

Across fourteen chapters, the book shows how AI can contribute throughout the research cycle, including:

• developing and refining research problems and questions;
• conducting and evaluating literature reviews;
• planning qualitative, descriptive, correlational, multivariate, and experimental research;
• designing and evaluating data-collection procedures and instruments;
• preparing and analyzing qualitative and quantitative data;
• generating and reviewing analytical code;
• testing alternative explanations and interpretations;
• improving research writing and reporting;
• verifying consequential AI-generated outputs; and
• documenting AI assistance responsibly.

The emphasis throughout is not on using AI more, but on using it purposefully and methodologically. Readers are encouraged to distinguish generation from verification, technological capability from methodological necessity, and fluent AI output from defensible research evidence.

Advanced prompts, applied examples, structured Practice sections, Reflection Questions, and Tasks help readers move from understanding AI-assisted research to actually designing and evaluating their own workflows.

Written for graduate students, researchers, academics, teacher-researchers, and scholars in foreign language education, this book provides a framework for using AI while preserving researcher judgment, methodological integrity, evidential grounding, ethical responsibility, and scholarly accountability.

AI can expand what researchers are able to do. This book focuses on how to ensure that researchers remain responsible for deciding what should be done, what can be trusted, and what the evidence ultimately allows them to claim.

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