Konrad Schönborn

Konrad J. Schönborn, PhD MRSB

Professor

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Updated: 7 Aug. 2026

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I’m Professor of Visual Learning and Communication at Linköping University, Sweden (LiU webpage), and Scientific Leader of the National Graduate School in Science and Technology Education (FontD). I also head the Visual Learning and Communication unit, a component of C-Research at LiU that performs research at Visualization Center C in Sweden. Research interests:

Visual learning, visualization in STEM education, visual literacy, visual communication, multimodality, multisensory virtual environments, visualization in public spaces, AI-based visualization platforms, multiple representations, models and modelling, (bio)chemistry-, biology-, nano-, physics education

Ten recent publications:

Stenlund, J., Göransson, A., Ignatenko, S., Höst, G., & Schönborn, K. (2026). Public engagement with an interactive 3D visualization of a food web in a science center. Internat. J. Sci. Educ, B, 1-18. [doi:10.1080/21548455.2026.2692856] [PDF]

Göransson, A., Strömstedt, I., Fälton, E., Ynnerman, A., & Schönborn, K. (2026). Bringing the world into the classroom: early explorations of young children’s exposure to a digital globe. Early Child. Educ. J. [doi:10.1007/s10643-026-02185-w] [PDF]

Norström, P., Nordlöf, C., Hallström, J., & Schönborn, K. (2026). Can role-play play a role in authentic learning? Investigating two pre-university engineering education design projects. European Journal of Engineering Education, 1-18. [doi:10.1080/03043797.2026.2694549] [PDF]

Mani, M., Gezelius, M., Löwgren, J., Höst, G., Koć-Januchta, M., Tibell, L., & Schönborn, K. (2026). Designing with multiple perspectives: an interactive learning environment for developing systems thinking in a carbon cycle context. Interactive Learning Environments, 34(1), 218-243. [doi:10.1080/10494820.2025.2494161] [PDF]

Yu, P., Nordman, A., Fujiwara, T., Koc-Januchta, M., Schönborn, K., Besançon, L., & Vrotsou, K. (2026). Visual extraction of interaction patterns guided by hierarchical clustering and process mining. IEEE Transactions on Visualization and Computer Graphics, 32(1), 1142-1152. [doi:10.1109/TVCG.2025.3634837] [PDF Preprint]

Stenlund, J., Schönborn, K., & Johansson Sydqvist, V. (2026). Visualisation of deep evolutionary time: looking back and looking forward. Journal of Biological Education, 60(1), 118-142. [doi:10.1080/00219266.2024.2420014] [PDF]

Höst, G., Koć-Januchta, M., Mani, M., Gezelius, M., Löwgren, J., Tibell, L., & Schönborn, K. (2026). Pupils’ engagement with and evaluation of an interactive visualization of the carbon cycle. Disc. Educ., 5(1), 27. [doi:10.1007/s44217-025-01035-y] [PDF]

Linderoth, C., Mani, M., Schönborn, K., Hultén, M., & Stenliden, L. (2025). Defining ‘the Force’ of artificial intelligence in education: exploring the future of teaching through informed speculation. Learning, Media and Technology, 1-15. [doi:10.1080/17439884.2025.2550502] [PDF]

Yu, P., Nordman, A., Koć-Januchta, M., Schönborn, K., Besançon, L., & Vrotsou, K. (2025). Revealing interaction dynamics: multi-level visual exploration of user strategies with an interactive digital environment. IEEE Transactions on Visualization and Computer Graphics, 31(1), 831-841. [doi:10.1109/TVCG.2024.3456187] [PDF Preprint]

Thyberg, A., Schönborn, K., & Gericke, N. (2025). Phases of progression: students’ meaning-making of epigenetic visual representations within and between levels of organization. Research in Science Education, 55(2), 399-423. [doi:10.1007/s11165-024-10196-z] [PDF]