AI-Assisted Research Methods in Foreign Language Education

Selami Ayd¿n

ISBN 10: 6259060750 / ISBN 13: 9786259060750

Published by Lreplus, 2026

About this Item

nach 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.

Seller Inventory # 9786259060750

Bibliographic Details

• Title: AI-Assisted Research Methods in Foreign Language Education
• Publisher: Lreplus
• Publication Date: 2026
• Language: English
• ISBN 10: 6259060750
• ISBN 13: 9786259060750
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 203H x 20D millimeters 254 millimeters width by 203 millimeters height by 20 millimeters depth
• Weight: 801 grams

About this title

Synopsis

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.