21-Day AI Thesis Writing Bootcamp: Topic Selection x Literature Outline x AIGC Compliance x Full Text Integration - Complete a Draft Ready for Your Advisor

Course Introduction

This course centers on the AI-collaboration + human-review workflow, systematically teaching over 21 days the complete thesis writing process from topic selection, literature search, outline, research roadmap to full-text integration and delivery. Covers thesis diagnosis, topic focus, research question design, literature search and classification, outline building, research roadmap, literature review structure and drafting, AI-assisted introduction writing, methodology/theoretical framework, core chapter writing, discussion writing, conclusion and abstract, full-text integration and innovation mining, AIGC compliance and innovation presentation, final sprint guide, and research capability building for successful publication. Students will master the AI thesis workflow and multiple compliance revision strategies, bridging from vague ideas to high-quality deliverables.

Suitable For

1. Graduate and undergraduate students stuck on vague topics, messy literature, or failing AIGC detection.
2. Researchers and university teachers wanting to master AI-assisted writing for efficiency.
3. Academic professionals needing complex writing like SCI papers and project proposals.
4. Procrastinators wanting to complete a thesis stage draft through 21-day systematic training.
5. Learners wanting lifelong AI writing skills reusable across academic writing.

What You Gain

1. Master the full AI thesis workflow and compliance revision strategies.
2. Complete an advisor-ready thesis stage draft in 21 days.
3. Elevate a 60-point idea to a 90-point deliverable.
4. Learn literature search, outline building, and research roadmap methods.
5. Gain lifelong AI writing skills and a path to successful publication.

Video Screenshot

Course Catalog:
01. Day 1: Thesis Status Diagnosis - Your First AI Consultation
02. Day 2: Topic Focus - Using AI to Turn a Broad Direction into a Researchable Question
03. Day 3 Redesign: Research Questions and Writing Boundaries - Turning the Title into a Truly Writable Question
04. Day 4 Redesign: Literature Search and Classification - Let AI Build the Map, You Verify
05. Day 5: Thesis Outline Building - Let AI Assemble Materials into a Skeleton
06. Day 6 (Revised): Research Roadmap - Making the Whole Thesis Feasible
07. Day 7 Phase 1 Review - Integrate into a One-Page Progress Brief
08. Day 8: Literature Review Structure Design
09. Day 9: Literature Review Drafting (Part 1)
10. Day 10: Literature Review Drafting (Part 2) - Research Gap and Your Entry Point
11. Day 11: Introduction Writing - AI-Assisted Method
12. Day 12: Thesis Writing: Methodology and Theoretical Framework Chapter
13. Day 13: Core Chapter Writing (Part 1)
14. Day 14: Core Chapter Writing (Part 2) + Phase 2 Review
15. Day 15: Core Chapter Supplement (Part 1) - Discussion Section
16. Day 16: Core Chapter Supplement (Part 2)
17. Day 17: Conclusion and Abstract
18. Day 18: AI Thesis Writing: Full-Text Integration and Innovation Point Mining
19. Day 19: AIGC Compliance and Innovation Point Presentation
20. Day 20: Final Draft Sprint Guide
21. Day 21: Research Capability Enhancement: From Thesis Writing to Successful Publication