"It's Really Enjoyable to See Me Solve the Problem like a Hero": GenAI-enhanced Data Comics as a Learning Analytics Tool
Mikaela Milesi, Riordan Alfredo, Vanessa Echeverría, Lixiang Yan, Linxuan Zhao, Yi‐Shan Tsai, Roberto Martínez‐Maldonado
Abstract
Data comics are an emergent storytelling format that can enable non-experts to consume salient insights from data. Despite some research investigating the use of comic strips in education, there is limited evidence relating to how students perceive data comics about their own data as a way to reflect on their learning experience. In this paper, we summarise nursing students’ perceptions of the advantages and limitations of data comics by presenting personalised Multimodal Learning Analytics (LA) data in data comics form. We present GenAI-enhanced data comic prototypes created using a combination of the generative artificial intelligence tool, Midjourney, and graphics illustration software. Our findings indicate that while students see the potential of data comics as an engaging and enjoyable visualisation technique, concerns remain regarding the perceived lack of professionalism associated with this format.