Can AI help me check the logical structure in my thesis?

Yes, AI tools can assist in checking the logical structure of a thesis. They achieve this primarily through natural language processing (NLP) techniques designed to analyze text cohesion, flow, and argument progression. These tools identify logical connections between sections, detect potential non sequiturs, highlight abrupt topic shifts, and assess paragraph coherence based on linguistic patterns. They can flag sections where claims lack supporting evidence or where conclusions do not align with presented findings. However, their effectiveness hinges on clear writing and explicit signalling language; they struggle with implicit reasoning and complex semantic nuance. Crucially, AI cannot substitute for deep disciplinary understanding or evaluate the substantive validity of arguments, only their superficial structural presentation. Researchers typically use AI structural checkers by uploading thesis sections into specialized software platforms. These tools provide reports pinpointing disjointed sections, inadequate transitions, or potential argument gaps. This allows authors to efficiently review and revise problematic areas, enhancing overall clarity and persuasiveness. While invaluable for surfacing structural weaknesses, human judgment remains essential for final assessment and nuanced refinement.