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Institut für Schulentwicklungsforschung
Campus Nord
CDI

Raum CDI / 013

Arbeitsschwerpunkt

• Kompetenzdiagnostik
• Verstehen von multiplen Repräsentationen
• Prozessorientierte Datenmodellierung
• Itemanalyse mit IRT
• Modellierung mit gemischten Effekten

Curriculum Vitae

2019

• Akademischer Rat am Institut für Schulentwicklungsforschung
• CRM Data Analyst at Douglas GmbH, Düsseldorf

2015-2018

• Wissenschaftlicher Mitarbeiter (PostDoc) Eberhard Karls Universität Tübingen (Prof. Dr. Augustin Kelava)
• Doktorand an der Graduiertenschule & Forschungsnetzwerk ‘LEAD’ (Learning, Educational Achievement, and Life Course Development), funded by the German Excellence Initiative
• Assoziertes Mitglied am Leibniz-Institut für Wissensmedien, Tübingen in der Arbeitsgruppe ‚multiple representations‘ (Prof. Dr. Katharina Scheiter)

2014

• Research intern in the project “Energy visualization in autonomous houses” in collaboration with BOUYGUES CONSTRUCTION and the Ideas Lab (Xavier Gauvin), Grenoble (supervised by Prof. Dr. Erica De Vries)

2013   

• Market Research Intern at United Internet Media GmbH (supervised by Dr. Uli Gleich)

2012   

• Research assistance in the project „BiTe – Integrative processes of pictures and texts in secondary education“, (Prof. Dr. W. Schnotz), department of Educational Psychology at University Koblenz-Landau
• Research intern in the project „BiTe – Integrative processes of pictures and texts in secondary education“, (Prof. Dr. W. Schnotz), department of Educational Psychology at University Koblenz-Landau

Publikationen

• Ludewig, U. (2018). Understanding Graphs: Modeling Processes, Prerequisites and Influencing Factors of Graphicacy. Dissatation: Eberhard Karls Universität Tübingen. (link)
• Ludewig, U., Lambert, K., Dackermann, T., Scheiter, K., Möller, K. (2019). Influences of basic numerical abilities on graph reading. Psychological Research. 1 -13. https://doi.org/10.1007/s00426-019-01144-y  [Impact-Factor: 2.329]
• Schnotz, W., Ludewig, U., Ullrich, M., Horz, H., McElvany, N., & Baumert, J. (2014). Strategy shifts during learning from texts and pictures. Journal of Educational Psychology, 106, 974-989. http://dx.doi.org/10.1037/a0037054  [Impact-Factor: 4.433]

Vorträge

• Ludewig, U., Kelava, A., Möller, K., Scheiter, K. (2018, June). Integration or disorientation: Double-sided relation of process measures in graph comprehension tasks. EARLI Special Interest Group 27 - Online Measures of Learning Processes. Warsaw.
• Ludewig, U., Lambert, K., Dackermann, T., Scheiter, K., Möller, K. (2018, February). Influences of basic numerical abilities on graph reading. In R. Ploetzner (Chair), Visualisierungen in der Mathematik. Symposium conducted at meeting of the Gesellschaft für Empirische Bildungsforschung. Basel.
• Ludewig, U., Scheiter, S., Kelava, A. (2016, June). Assessing Sub-processes of Representational Competence in Science Learning. EARLI SIG II: Comprehension of Text and Graphics. Geneva.
• Ludewig, U., Scheiter, S., Kelava, A. (2017, September). Kognitive Prozesse beim Verstehen von komplexen Diagrammen.  Gemeinsame Tagung der Fachgruppen Entwicklungspsychologie und pädagogische Psychologie. Münster.
• Ludewig, U., Scheiter, S., Kelava, A. (2017, August). Pathways to text-graphic comprehension -contrasting a text-centered versus a multiple-representations perspective. European Association for Research on Learning and Instruction (EARLI). Tampere.
• Ludewig, U., Scheiter, S., Kelava, A. (2016, June). Assessing Sub-processes of Representational Competence in Science Learning. EARLI SIG II: Comprehension of Text and Graphics. Geneva.
• Ludewig, U., de Vries, E. , Schwartz N., Jacobson, N., Fox, A., & Loker, S. (2016, April). Constructing knowledge from interactive visualizations.  How comprehension of complex relations influences representational choice. In D. Leutner (Chair), Learning With Static and Dynamic Visualizations. Symposium conducted at the meeting of the American Educational Research Association. Washington D.C.

Workshops

• Introduction to computational psychometrics (2017, Juni) by Dr. Alina von Davier (ACT) at the Sommer Akademie Zentrum für internationale Bildungsvergleichstudien.
• Psychometric modeling of responses and response times (2017, Juni) by Prof. Dr. Dylan Molenaar (University of Amsterdam) at the Sommer Akademie Zentrum für internationale Bildungsvergleichstudien.
• Modeling process data from tests and experiments (2017, Juni) by Prof. Dr. Paul De Boeck (Ohio State University) at the Sommer Akademie Zentrum für internationale Bildungsvergleichstudien.
• Introduction to Structural Equation Modeling Framework with Mplus (2016, Juli) by Prof. Dr. Jost Reinecke (Universität Bielefeld) at the 5th Summer School in Survey Methodology GESIS.
• IRT-Skalierung für Fortgeschrittene (2016, April) by Prof. Dr. Hartig (DIPF Frankfurt am Main) at the FDZ-Frühjahrsakademie.

Lehre

• Methoden der empirischen Bildungs- und Sozialforschung (Seminar, WS 2017, Universität Tübingen)