Navigate the intersection of artificial intelligence and academic publishing. Learn how to responsibly use AI drafting tools, understand how Turnitin AI detectors work, and ethically humanize your text to protect your academic integrity.
Key Takeaways The methodology section describes what you did and how you did it. LLMs can help you describe procedures clearly, structure the section logically, and justify your design choices. Accuracy is non-negotiable. Every detail in the methodology must match…
Key Takeaways The discussion is the most intellectually demanding section of a research paper. LLMs can help structure it, improve flow, and check hedging language, but the interpretation must be yours. LLMs do not know your field deeply enough to…
Key Takeaways The results section presents your findings without interpretation. LLMs can help you describe data clearly, structure the section, and write around tables and figures. Never let an LLM interpret your results. It does not know your study, your…
Key Takeaways LLMs can help you synthesise, organise, and identify gaps in your literature review, but they cannot replace reading the papers yourself. Never ask an LLM to “find sources” or “cite papers.” LLMs fabricate citations. Use databases (Scopus, Web…
Key Takeaways LLMs like ChatGPT, Claude, and Gemini can help you draft, refine, and shorten your research abstract, but the final version must accurately reflect your actual findings. Never submit an AI-generated abstract without thorough verification. LLMs can introduce inaccuracies,…
Key Takeaways The quality of what you get from an LLM depends almost entirely on how you prompt it. A vague prompt gets a vague answer. A specific, well-structured prompt gets genuinely useful output. ChatGPT, Claude, and Gemini each have…
Key Takeaways A Turnitin AI report is separate from the similarity report. It measures the probability that your text was generated by AI, not whether it matches existing sources. Turnitin AI detection analyzes writing patterns like burstiness (sentence length variation)…
Key Takeaways AI is genuinely useful for the heavy lifting in research: brainstorming, literature scanning, drafting, data interpretation. Most universities now allow it, provided you cite the model. The problem is not using AI. The problem is that AI writes…
