Today, many researchers rely on reference management tools like Mendeley, EndNote or Zotero to generate and format citations. However, there is an alternative for those who prefer not to use such software. Providing a list of references—no matter how inconsistently formatted—to a Generative AI model makes it possible
Clustering refers to the unsupervised process of grouping similar entities, such as sentences, into categories based on shared characteristics without relying on predefined classes, thus revealing latent patterns in the data. For researchers, GenAI models enable this analysis without the need for programming expertise, offering a powerful means to explore
Natural Language Processing (NLP) allows us to automatically analyse and categorise textual data. With the help of GenAI, even complex classification tasks can now be executed using just a well-designed prompt. In this post, we present a practical example where GenAI classifies financial-related sentences into domain-specific categories, showcasing how effective
Artificial Intelligence is rapidly reshaping the educational landscape, but what do we really know about its effects on learning, teaching, and classroom dynamics? With the help of GenAI, we can begin to frame research questions that tackle these complex issues head-on. In this blog, we demonstrate how GenAI can be
One of the most practical — and remarkably simple — applications of Generative AI (GenAI) in academic work is its ability to support early-stage thinking. Whether preparing a research paper, essay, or seminar discussion, getting started with a topic can often be the most challenging step. With a well-crafted prompt, GenAI tools
