AI Researcher Learning Path

Practice turning broad topics into specific research questions, subquestions, search concepts, and investigation plans.

Define the scope, questions, evidence requirements, search strategy, and inclusion criteria for a small research project.

Build a broad understanding of artificial intelligence, its capabilities, limitations, terminology, and practical role before relying on AI throughout a research workflow.

Use AI-assisted literature discovery to identify relevant papers and compare research findings around a defined question.

Practice searching scientific literature around specific questions and comparing evidence across research results.

Examine how research papers are cited and use citation context to investigate whether later work supports, discusses, or challenges particular claims.

Confirm that you can discover relevant literature while distinguishing search results, individual studies, citations, and broader evidence.

Develop structured prompting skills that can be applied to source discovery, evidence comparison, synthesis requests, and other AI-assisted research tasks.

Explore relationships between papers, authors, citations, and related research to expand a literature review systematically.

Use source-linked web research to investigate current information that may complement academic literature.

Work with a defined source collection to ask questions, compare documents, identify recurring themes, and organize evidence.

Create a structured comparison of the most important sources and the evidence they contribute to your research question.

Strengthen your understanding of generative AI capabilities, limitations, responsible use, and practical workflows before producing a final AI-assisted research synthesis.

Create a structured research report that answers the original question using traceable evidence from the collected sources.

Review the completed research project and confirm that the conclusions remain traceable to identifiable evidence.