Learning Research Methods with AI as a Private Tutor
was held on Tuesday 26 November from 13.00 - 14.00 CET
Presenter: Michaël de Clercq, Faculty of Bio-Science Engineering, Ghent University, Ghent, BE
See the powerpoint slides and view the recording
Abstract: Generative AI offers opportunities for a personalized and interactive approach to learning research methods, acting as a private tutor for both students and researchers navigating complex data analysis, modeling, and simulation techniques. Tools like ChatGPT can engage students directly with datasets and literature, helping them explore fundamental developments in a field and experiment with various statistical models. This session will demonstrate how AI can be used to simulate models, generate and evaluate dummy data, and deepen understanding of research methodologies—whilst engaging with relevant literature and real-world cases. These AI-driven exercises can be integrated into the curriculum to create a conversational, adaptive learning environment that enhances both the comprehension and practical application of research methods.
Short Bio: Michaël de Clercq is a PhD researcher and teaching assistant in the Department of Agricultural Economics at Ghent 
University,Belgium. His research focuses on digital economics, with a specialization in econometrics, spatial and agent-based modeling, andnetwork analysis. As a teaching assistant, he contributes to courses in development economics and scientific writing, while also engaging in faculty-wide discussions on how the use of AI is reshaping traditional approaches to both teaching and student evaluation.