What you will leave with
Participants will learn how to evaluate academic sources, verify citations, and recognize the limitations of AI-generated content and similarity scores. They will also gain a practical seven-step framework for producing and evaluating more credible, trustworthy, and defensible academic work.
About this session
A well-written research paper, complete with references and a low similarity score, might seem trustworthy. But what happens when the sources do not support the claims, citations cannot be verified, or AI-generated summaries replace reading the original research?
In this interactive webinar, we'll explore the difference between research that looks credible and research that can actually be trusted.
Designed for university students and educators, the session examines source credibility, citation accuracy, AI-assisted research, originality, and the responsibilities involved in producing and evaluating academic work.
Through practical examples and audience interactions, we'll explore how to look beyond polished writing and assess the evidence, reasoning, and decisions behind academic work.