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Project M

m

Prof. Dr. Frank Fischer, Prof. Dr. Tina Seidel, Prof. Dr. Doris Holzberger & Prof. Dr. Matthias Stadler

Joint Measures, Meta-analysis of Evidence, and Overarching Theory-building

The primary goals of the cross-sectional research Project M are to partially standardise measures and coordinate a joint data collection on a set of variables across the CRC, meta-analytically synthesise findings and advance theory-building. M will enable data collection and data analyses across projects and to drive forward the overarching synthesis of findings and theory-building. The project will: (1) initiate systematic joint data collections on learning prerequisites as well as perceived processes and outcomes; (2) develop a methodology for aggregating process data across projects; (3) conduct meta-analytical integrations of findings within and beyond the CRC; and (4) advance overarching theory-building using the SHARP conceptual framework as a starting point.

Selected publications

  • Chernikova, O., Stadler, M., Melev, I., & Fischer, F. (2024a). Using machine learning for continuous updating of meta-analysis in educational context. Computers in Human Behavior, 156, 108215. https://doi.org/10.1016/j.chb.2024.108215
  • Chernikova, O., Stadler, M., Sommerhoff, D., Schons, C., Heitzmann, N., Holzberger, D., Seidel, T. Richters, C., Pickal, A.J., Wecker, C., Nickl, M., Codreanu, E., Ufer, S., Kron, S., Corves, C., Neuhaus, B.J., Fischer, M.R., & Fischer, F. (2024b). The relation between learners’ experience in simulations and diagnostic accuracy: Generalizability across medical and teacher education. Computers in Human Behavior Reports, (4), 100454. https://doi.org/10.1016/j.chbr.2024.100454
  • Christ, O., Hewstone, M., Schmid, K., Green, E. G. T., Sarrasin, O., Gollwitzer, M., & Wagner, U. (2017). Advanced multilevel modeling for a science of groups: A short primer on multilevel structural equation modeling. Group Dynamics: Theory, Research, and Practice, 21, 121-134. https://doi.org/10.1037/gdn0000065
  • Daumiller, M., Janke, S., Butler, R., Dickhäuser, O., & Dresel, M. (2023). Merits and limitations of latent profile approaches to teachers’ achievement goals: A multi-study analysis. PLoS ONE, 18(4), Article e0284608. https://doi.org/10.1371/journal.pone.0284608. PsyArXiv: sp2f8
  • Fischer, F., Bauer, E., Seidel, T., Schmidmaier, R., Radkowitsch, A., Neuhaus, B. J., Hofer, S. I., Sommerhoff, D., Ufer, S., Kuhn, J., Küchemann, S., Sailer, M., Koenen, J., Gartmeier, M., Berberat, P., Frenzel, A., Heitzmann, N., Holzberger, D., Pfeffer, J., Lewalter, D., Niklas, F., Schmidt-Hertha, B., Gollwitzer, M., Vorholzer, A., Chernikova, O., Schons, C., Pickal, A. J., Bannert, M., Michaeli, T., Stadler, M., & Fischer, M. R. (2022). Representational scaffolding in digital simulations – learning professional practices in higher education. Information and Learning Sciences, 123(11/12), 645-665. https://doi.org/10.1108/ILS-06-2022-0076
  • Holzberger, D., Maurer, C., Kunina-Habenicht, O., & Kunter, M. (2021). Ready to teach? A profile analysis of cognitive and motivational-affective teacher characteristics at the end of pre-service teacher education and the long-term effects on occupational well-being. Teaching and Teacher Education, 100, Article 103285. https://doi.org/10.1016/ j.tate.2021.103285
  • Knogler, M., Hetmanek, A., & Seidel, T. (2022). Determining an Evidence Base for Particular Fields of Educational Practice: A Systematic Review of Meta-Analyses on Effective Mathematics and Science Teaching [Systematic Review]. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.873995
  • Richters, C., Stadler, M., Radkowitsch, A., Schmidmaier, R., Fischer, M. R., & Fischer, F. (2023). Who is on the right track? Behavior-based prediction of diagnostic success in a collaborative diagnostic reasoning simulation. Large-Scale Assessments in Education, 11, Article 3. https://doi.org/10.1186/s40536-023-00151-1
  • Stadler, M., Brandl, L., & Greiff, S. (2023). 20 years of interactive tasks in large‐scale assessments: Process data as a way towards sustainable change? Journal of Computer Assisted Learning, 39(6), 1852-1859.
  • Stadler, M., Hofer, S., & Greiff, S. (2020). First among equals: Log data indicates ability differences despite equal scores. Computers in Human Behavior, 111, Article 106442. https://doi.org/10.1016/j.chb.2020.106442