Comparing Studies Without Over-Claiming: A Guide to Evidence-Led Synthesis
How to compare research findings while keeping differences in setting, design, sample, and evidence strength visible.
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Working With PDFs as Research Evidence: Reading Beyond Extracted Text
Why searchable PDF text is useful, where it fails, and how to keep quotations and tables faithful to the original source.
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Using AI to Draft, Not Decide: A Responsible Workflow for Academic Research
A researcher-led workflow for using AI to organise and draft from selected sources without outsourcing scholarly judgement.
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How to Write a Literature Review: A Step-by-Step Guide
A working structure for turning a pile of sources into a literature review that actually argues something.
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Systematic Review vs. Literature Review vs. Scoping Review: What’s the Difference?
Three review types get used interchangeably in casual writing and mean very different things to a supervisor or a journal.
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How Many Sources Do You Actually Need for a Literature Review?
There is no universal number — but there is a way to know when your source set is doing its job.
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How to Find the Gap in Existing Research (Before You Propose a New Study)
A defensible research gap is found by comparing what studies actually did, not by declaring that “more research is needed.”
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APA vs. MLA vs. Chicago vs. Harvard: When Each One Is Actually Required
Citation styles aren’t interchangeable formatting preferences — each one signals a disciplinary convention, and using the wrong one reads as a wrong-department submission.
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How to Cite AI-Assisted Work in Academic Writing
Disclosure norms for AI-assisted writing are still forming — here is what’s actually consistent across the major style guides and journal policies so far.
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Can You Trust an AI Summary of a Research Paper? A Checklist Before You Cite It
An AI summary can save real time — but only if you know exactly what to verify before you let it stand in for the source.
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