Xavier Prat-Resina

Xavier Prat-Resina serves as an Associate Professor within the Center for Learning Innovation (CLI) at the University of Minnesota Rochester (UMR), where his office is located at 318 Commons in Rochester, Minnesota. His academic profile reflects a dedicated career bridging computational chemistry foundations with contemporary educational innovation, actively contributing to undergraduate chemistry and biochemistry instruction through evidence-based pedagogy and learning analytics.

His educational trajectory demonstrates deep disciplinary expertise:

• Bachelor of Science in Chemistry, University of Barcelona
• Master of Science in Theoretical Chemistry, University of Barcelona
• Doctor of Philosophy in Chemistry, University Autonoma of Barcelona

Dr. Prat-Resina's research program centers on visual literacy development in chemical sciences, investigating how students mentally organize biochemical knowledge and translate between representational forms. His work examines cognitive load during modeling activities, the structure of students' neural networks for protein/nucleic acid concepts, and the impact of data-driven approaches like ChemEd X Data on higher-order thinking. This scholarship reveals a strategic evolution from early computational enzymology studies toward pioneering contributions in learning analytics and curriculum design, with particular focus on vertical and horizontal translation skills across undergraduate chemistry curricula.

Analysis of his 15 most recent publications (2018-2023) shows a cohesive research trajectory emphasizing educational measurement and tool development. The work systematically addresses visual literacy skill acquisition through neural network analysis, demographic comparisons of learning progression, and cognitive load assessment in modeling activities. His publications consistently connect theoretical frameworks with practical classroom applications, notably through platforms like BoSCO and Models360 that bridge analytics with curriculum design.

No scientific awards were documented in the provided materials, though his contributions to educational tool development represent significant scholarly impact.

His advising and grant activities center on developing learning analytics infrastructure, including the BoSCO platform for curriculum designers and ChemEd X Data for student engagement with open scientific datasets. These initiatives demonstrate sustained commitment to evidence-based pedagogy and cross-departmental collaboration in science education.

Dr. Prat-Resina actively participates in the ChemEd community through web platform development and interdisciplinary curriculum projects, focusing on quantitative reasoning integration and structure-property relationship instruction. His current work emphasizes data-informed approaches to visualize and optimize learning pathways across chemistry and biochemistry programs.