AI in Research & Learning
Typing a plain-language question and getting ten relevant papers instantly is appealing. But semantic search tools have blind spots of their own. How to pair th
Graduate School
In year one, thirty PDFs in a folder work fine. By year three, four hundred badly named files and scattered notes can cost you an afternoon to find one quotatio
Research Integrity & Open Science
A “Smith (1998) found” copied from someone else’s paper can carry their mistake for twenty years. How to cite honestly when you cannot get the original, check c
Publishing & Peer Review
A thesis is written to prove you did enough; an article is written so others can use your result. How to pick one question, cut the literature review to a fifth
Statistics & Data
Dense results tables are where authors can hide their weakest points. A seven-step routine for reading logistic regression tables, nested models and ANOVA outpu
Academic Writing
An Introduction does not need to recount the history of your field. It needs to take readers from what is known to your exact question in four or five paragraph
Academic Writing
A review that walks through one author after another is a flaw examiners spot on page one. How to use a synthesis matrix to group sources by idea, compare findi
Graduate School
Proposals rarely fail because the idea is bad. They fail because the question is too broad, the method does not match it, or the plan is not feasible. The struc
AI in Research & Learning
A generative AI assistant can summarise a paper in seconds, but it drops conditions, overstates conclusions and mixes studies up. A workflow for AI-assisted rea
Learning Science
Reading a paper line by line from abstract to references can eat an afternoon and still leave you unsure what it showed. The three-pass method, starting with th
