AI-Assisted Research Methods in Foreign Language Education – Complete Course Resource Package is a comprehensive digital teaching and learning resource.
The package follows the book's complete 14-chapter structure of the book and supports the research process from methodological foundations, research framing, study development, and literature review through research design, data collection, qualitative and quantitative analysis, research reporting, and final methodological reflection.
The materials are designed for university instructors, undergraduate and graduate students, doctoral researchers, teacher educators, and independent learners working in foreign language education, ELT, applied linguistics, and related fields.
The package includes 14 chapter-aligned presentations, a Course Syllabus and Curriculum Guide, and a detailed Instructor Guide. Together, these materials provide a structured framework for teaching, studying, and applying AI-assisted research methods across a suggested 14-week course.
The central principle of the package is:
The researcher leads; AI assists.
AI is approached as a methodological assistant rather than a substitute for research knowledge or researcher judgment. The materials emphasize purposeful AI use, critical evaluation of AI-generated output, verification of consequential information, ethical and responsible research practice, and researcher ownership of methodological decisions.
The presentations are aligned with the book’s methodological progression and can be used in face-to-face, online, blended, or independent learning contexts. They help organize key concepts and research decisions while supporting discussion, reflection, methodological critique, and application.
The accompanying syllabus provides a suggested 14-week course framework, learning outcomes, teaching and learning approach, assessment guidance, and an AI-Assisted Research Portfolio structure. The Instructor Guide offers practical recommendations for using the presentations, advanced methodological prompts provided in the book, Practice sections, Reflection Questions, Tasks, verification procedures, and responsible AI-assisted research activities.
The book itself contains detailed advanced methodological prompts throughout its chapters. These prompts are designed not as fixed scripts to be copied mechanically, but as models showing how methodological reasoning can be translated into precise, bounded instructions for AI.
The package is intended to support, not replace, the book. The book provides the full methodological explanations, examples, advanced prompts, Practice sections, Reflection Questions, and Tasks, while the course resources provide an organized instructional framework for using that content in teaching and learning.
