AI-Assisted Research Methods in Foreign Language Education
Selami Ayd¿n
Sold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
New - Soft cover
Condition: New
Ships from Germany to U.S.A.
Quantity: 2 available
Add to basketSold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
Condition: New
Quantity: 2 available
Add to basketnach der Bestellung gedruckt Neuware - Printed after ordering - AI-Assisted Research Methods in Foreign Language Education provides a comprehensive and practical framework for integrating artificial intelligence into the research process while preserving methodological rigor, scholarly responsibility, and researcher judgment. The book follows the complete research cycle, from identifying and refining research problems to literature review, research design, data collection, qualitative and quantitative analysis, interpretation, reporting, and final methodological reflection. Rather than treating AI as a substitute for research expertise, it positions AI as a methodological assistant that can help researchers generate alternatives, challenge assumptions, examine design choices, support analysis, test interpretations, and strengthen scholarly communication. Its central principle is clear: The researcher leads; AI assists. Throughout the book, readers are encouraged to distinguish technological capability from methodological necessity, generation from verification, and fluent AI output from defensible evidence. Particular attention is given to evidential grounding, ethical responsibility, transparency, verification, decision provenance, and the limits of AI authority. Across fourteen chapters, the book examines AI-assisted research framing, literature review, qualitative research, descriptive research, correlational and multivariate research, experimental research, data collection, qualitative data analysis, quantitative data analysis, and scholarly reporting. Advanced prompts, applied examples, step-by-step Practice sections, Reflection Questions, and Tasks help readers move from understanding methodological principles to applying them in real research situations.Written for graduate students, researchers, academics, teacher-researchers, and scholars in foreign language education, the book aims to develop AI-assisted methodological competence: the ability to use AI critically, responsibly, purposefully, and effectively while retaining control over evidence, interpretation, methodological decisions, and final research claims.AI-Assisted Research Methods in Foreign Language Education is not a guide to letting AI conduct research for the researcher. It is a guide to becoming a stronger researcher in an environment where AI can provide increasingly powerful assistance.
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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:
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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