How to Use Generative Artificial Intelligence in the Research Process: A Modular Course Approach for Early Career Researchers

The integration of generative artificial intelligence (GAI) tools into academic research workflows presents both promise and complexity — particularly for early career researchers (ECRs), who often lack structured guidance on responsible use. This study addresses this gap by designing and evaluating a modular course that supports ECRs in applying GAI systematically and appropriately across key stages of the research process, including literature exploration, hypothesis development, and academic writing. Drawing on the Design Science Research (DSR) Methodology, the course was iteratively developed and assessed through expert interviews and pre- and post-surveys with participants. Expert feedback suggests refinements to pacing and engagement. Quantitative findings indicate increased confidence and frequency of GAI use, especially for literature discovery and scholarly communication. This work contributes to DSR by offering a grounded course concept and actionable guidelines, aimed at advancing GAI literacy in ECRs’ scholarly work, supporting the transparent, responsible integration of GAI into research practice.