2025

• Schneider, M., & Simonsmeier, B. A. (2025). How does prior knowledge affect learning? A review of 16 mechanisms and a framework for future research. Learning and Individual Differences, 122, 102744. https://doi.org/10.1016/j.lindif.2025.102744 [Open access link]
  The article is part of the journal special issue Future of Learning.

• Edelsbrunner, P. A., Simonsmeier, B. A., & Schneider, M. (2025). The Cronbach’s Alpha of domain-specific knowledge tests before and after learning: A meta-analysis of published studies. Educational Psychology Review, 37, 4. https://doi.org/10.1007/s10648-024-09982-y [Open access link]

  • We thank our colleagues for their commentary: Zitzmann, S., & Orona, G. A. (2025). Why we might still be concerned about low Cronbach’s Alphas in domain-specific knowledge tests. Educational Psychology Review, 37, 37. https://doi.org/10.1007/s10648-025-10015-5 [Open access link]

  • We responded: Edelsbrunner, P. A., Simonsmeier, B. A., & Scheider, M. (2025). The reliability, but not the Cronbach's Alpha, of knowledge tests matter: Response to Zitzmann & Orona. Educational Psychology Review, 37, 48. https://doi.org/10.1007/s10648-025-10023-5 [Open access link]

• Schneider, M. (in press). Prior knowledge effects on the acquisition of expert performance. In A. M. Williams, A. Kozbelt, F. Preckel, & R. R. Hoffman, The Cambridge Handbook of Expertise and Expert Performance (3rd ed.). Cambridge University Press.

• Schneider, M. (in press). An educational effectiveness perspective on deliberate practice and the acquisition of expert performance. In A. M. Williams, A. Kozbelt, F. Preckel, & R. R. Hoffman, The Cambridge Handbook of Expertise and Expert Performance (3rd ed.). Cambridge University Press.

• Breit, M., Schneider, M., & Preckel, F. (2025). Mathematics achievement and learner characteristics: A systematic review of meta-analyses. Learning and Individual Differences, 118, 102621. https://doi.org/10.1016/j.lindif.2024.102621 [Open access link]

• Meinlschmidt, G. Koc, S., Boerner, E., Tegethoff, M., Simacek, T., Schirmer, L., & Schneider, M. (in press). Enhancing professional communication training in higher education through artificial intelligence(AI)-integrated exercises: Study protocol for a randomised controlled trial. BMC Medical Education, 25, 804. https://doi.org/10.1186/s12909-025-07307-3 [Open access link]

• Lenhof, C., Dukek, L., Wickering, L., Hitschler, L., Schneider, M. & Hechler, T. (2025). Identifying latent profiles of healthy adults‘ biopsychosocial pain concepts. Pain Research and Management, 2025, 706849. https://doi.org/10.1155/prm/5706849 [Open access link]

• Schneider, M., Simonsmeier, B. A., & Simacek, T. (in press). Lehren und Lernen. In J. Pfetsch, G. Steffgen, & M. Böhmer, Schulpsychologie: Ein Lehrbuch für die Praxis. Springer.

• Dlugosch, A., & Schneider, M. (in press). Wie können simulationsbasierte Trainings den Erwerb transferfähiger Kompetenzen fördern? – Anregungen aus der empirischen Lehr-Lern-Forschung. In M. Weinhardt (Hrsg.), Forschen, Lehren und Lernen mit Simulation. Theoretische Konzepte und empirische Befunde aus der erziehungswissenschaftlichen Professionalisierungsforschung. Weinheim: Beltz.

2024

• Matthes, J., Schneider, M., & Preckel, F. (2024). The relation between prior knowledge and learning in regular and gifted classes: A multigroup latent growth curve analysis. Journal of Educational Psychology, 116, 278-296. https://doi.org/10.1037/edu0000848

• Wickering, L., Lautwein, C., Fiegler, A., Allerdißen, L., Kloos, T., Schneider, M., & Hechler, T. (2024). Ein Instrument zur Erfassung biopsychosozialer Schmerzkonzepte von Erwachsenen: Entwicklung und Evaluation durch Expert*innen. Der Schmerz. https://doi.org/10.1007/s00482-024-00793-2 [Open access link]

2023

• Bittermann, A., McNamara, D., Simonsmeier, B. A., & Schneider, M. (2023). The landscape of research on prior knowledge and learning: A bibliometric analysis. Educational Psychology Review, 35, 58. https://doi.org/10.1007/s10648-023-09775-9 [Open access link]

• Nuraydin, S., Stricker, J., & Schneider, M. (2023). Young children intuitively organize numbers on straight, horizontal lines from left to right before the onset of formal instruction. Child Development, 95, 1032-1039. https://doi.org/10.1111/cdev.14016 [Open access link]

• Nuraydin, S., Stricker, J., Ugen, S., Martin, R., & Schneider, M. (2023). The number line estimation task is a valid tool for assessing mathematical achievement: A population-level study with 6,484 Luxembourgish ninth-graders. Journal of Experimental Child Psychology, 225, 105521. https://doi.org/10.1016/j.jecp.2022.105521[pdf]

• Edelsbrunner, P. A., Flaig, M., & Schneider, M. (2023). A simulation study on latent transition analysis for examining profiles and trajectories in education: Recommendations for fit statistics. Journal of Research in Educational Effectiveness, 16, 350-375. https://doi.org/10.1080/19345747.2022.2118197 [Open access link]

• Wickering, L., Lautwein, C., Nitsche, H., Schneider, M., & Hechler, T. (2023). Know pain, no pain? Preliminary testing and application of a new tool to assess biopsychosocial pain concepts in children. Children, 10, 814. https://doi.org/10.3390/children10050814 [Open access link]
  (Part of the special issue Psychological Interventions for Pediatric Pain)

2022

• Simonsmeier, B. A., Flaig, M., Deiglmayr, A., Schalk, L., & Schneider, M. (2022). Domain-specific prior knowledge and learning: A meta-analysis. Educational Psychologist, 57, 31-54. https://doi.org/10.1080/00461520.2021.1939700[pdf]

• Nuraydin, S., Stricker, J., & Schneider, M. (2022). No transfer effect of a fraction number line game on fraction understanding or fraction arithmetic: A randomized controlled trial. Journal of Experimental Child Psychology, 217, 105353. https://doi.org/10.1016/j.jecp.2021.105353[pdf]

• Passarotto, E., Preckel, F., Schneider, M., & Müllensiefen, D. (2022). Deliberate practice in music: Development and psychometric validation of a standardized measurement instrument. Psychology of Music, 50, 1637-1655. https/doi.org/10.1177/03057356211065172[Open access link]

• Schneider, M., Grabner, R. H., Saalbach, H., Schalk, L. (2022). Wie guter Unterricht intelligentes Wissen schafft: Handlungswissen aus der Lehr-Lernforschung. Stuttgart: Kohlhammer. [Publisher][GoogleBooks] 

• Stricker, J., Schneider, M., & Preckel, F. (2022). Concurrent and predictive relations of multidimensional perfectionism with test anxiety in secondary school students. Anxiety, Stress & Coping. https://doi.org/10.1080/10615806.2022.2056165

2021

• Stricker, J., Vogel, S. E., Schöneburg-Lehnert, S., Krohn, T., Dögnitz, S., Jud, N., Spirk, M., Windhaber, M.-C., Schneider, M., & Grabner, R. H. (2021). Interference between naïve and scientific theories occurs in mathematics and is related to mathematical achievement. Cognition, 214, 104789. https://doi.org/10.1016/j.cognition.2021.104789[pdf]

• Simonsmeier, B. A., Flaig, M., Simacek, T., Schneider, M. (2021). What sixty years of research says about the effectiveness of patient education on health: A second order meta-analysis. Health Psychology Review, 16, 450-474. https://doi.org/10.1080/17437199.2021.1967184[pdf]

• Flaig, M., Heltemes, T., & Schneider, M. (2021). Lernförderliche Durchführung von Lehrveranstaltungen. In R. Kordts-Freudinger, N. Schaper, A, Scholkmann, & B. Szczyrba (Eds.), Handbuch Hochschuldidaktik (pp. 73-86). utb. [Link]

• Buecker, S., Stricker, J., & Schneider, M. (2021). Central questions about meta-analyses in psychological research: An annotated reading list. Current Psychology. https://doi.org/10.1007/s12144-021-01957-4[Open access link]

• Schneider, M., Merz, S., Stricker, J., De Smedt, B., Torbeyns, J., Verschaffel, L., & Luwel, K. (2021). The importance of replicating meta-analyses: Commentary on “Conceptual replication and extension of the relation between the number line estimation task and mathematical competence across seven studies”. Journal of Numerical Cognition, 7, 479-482. https://doi.org/10.5964/jnc.7617[Open access link]

2020

• Simonsmeier, B., Peiffer, H., Flaig, M, & Schneider, M. (2020). Peer feedback improves students’ academic self-concept in higher education. Research in Higher Education, 61, 706-724. https://doi.org/10.1007/s11162-020-09591-y[pdf]

• Stricker, J., Buecker, S., Schneider, M., & Preckel, F. (2020). Intellectual giftedness and multidimensional perfectionism: A meta-analytic review. Educational Psychology Review, 32, 391-414. https://doi.org/10.1007/s10648-019-09504-1[pdf]

• Halbeisen, G., Schneider, M., & Walther, E. (2020). Liked for their looks: Evaluative conditioning and the generalisation of conditioned attitudes in early childhood. Cognition and Emotion, 35, 607-618. https://doi.org/10.1080/02699931.2020.1854187

2019

• Stricker, J., Schneider, M., & Preckel, F. (2019). School satisfaction differentially predicts multidimensional perfectionism one year later. Personality and Individual Differences, 143, 30-35. https://doi.org/10.1016/j.paid.2019.02.014

• Stricker, J., Buecker, S., Schneider, M., & Preckel, F. (2019). Multidimensional perfectionism and the Big Five personality traits: A Metaanalysis. European Journal of Personality, 33, 176-196. https://doi.org/10.1002/per.2[pdf]

2018

• Flaig, M., Simonsmeier, B. A., Mayer, A.-K., Rosman, T., Gorges, J., & Schneider, M. (2018). Conceptual change and knowledge integration as learning processes in higher education: A latent transition analysis. Learning and Individual Differences, 62, 49-61. https://doi.org/10.1016/j.lindif.2017.12.008[pdf]
  (Part of the special issue Latent Variable Mixture Models in Research on Learning and Individual Differences)

• Hickendorff, M., Edelsbrunner, P., Schneider, M., Trezise, K., & McMullen, J. (2018). Informative tools for characterizing individual differences in learning: Latent Class, Latent Profile, and Latent Transition Analysis. Learning and Individual Differences, 66, 4-15. https://doi.org/10.1016/j.lindif.2017.11.001[pdf]
  (Part of the special issue Latent Variable Mixture Models in Research on Learning and Individual Differences)

• Schneider, M., Merz, S., Stricker, J., De Smedt, B., Torbeyns, J., Verschaffel, L., & Luwel, K. (2018). Associations of number line estimation with mathematical competence: A meta-analysis. Child Development, 89,1467-1484. https://doi.org/10.1111/cdev.13068[pdf]

• Schneider, M., Thompson, C. A., Rittle-Johnson, B. (2018). Associations of magnitude comparison and number line estimation with mathematical competence: A comparative review (pp. 100-119). In P. Lemaire (Ed.), Cognitive development from a strategy perspective: A festschrift for Robert Siegler. London: Routledge. [pdf][Publisher][Google Books]

• Bücker, S., Nuraydin, S. Simonsmeier, B. A., Schneider, M. Luhmann, M. (2018). Subjective well-being and academic achievement: A meta-analysis. Journal of Research in Personality, 74, 83-94. https://doi.org/10.1016/j.jrp.2018.02.007[pdf]

• Schneider, M., & Flaig, M. (2018). Hochschuldidaktik [Instruction in higher education]. In D. H. Rost, J. Sparfeld, & S. Buch (Eds.), Handwörterbuch Pädagogische Psychologie (5th ed.) (pp. 242-249). Weinheim: Beltz.

• Simonsmeier, B. A., Frank, C., Gubelmann, H., & Schneider, M. (2018). The effects of motor imagery training on performance and mental representation of 7- to 15-year old gymnasts of different levels of expertise. Sport, Exercise, and Performance Psychology, 7, 155-168. https://doi.org/10.1037/spy0000117 [pdf]

• Simonsmeier, B. A., Grabner, R. H., Hein, J., Krenz, U., Schneider, M. (2018). Electrical brain stimulation (tES) improves learning more than performance: A meta-analysis. Neuroscience & Biobehavioral Reviews, 84, 171-181. https://doi.org/10.1016/j.neubiorev.2017.11.001. [pdf]

2017

• Schneider, M., & Preckel, F. (2017). Variables associated with achievement in higher education: A systematic review of meta-analyses. Psychological Bulletin, 143, 565–600. https://doi.org/10.1037/bul0000098[pdf]

• Schneider, M., Beeres, K., Coban, L., Merz, S., Schmidt, S. S., Stricker, J., De Smedt, B. (2017). Associations of non-symbolic and symbolic numerical magnitude processing with mathematical competence: A meta-analysis. Developmental Science, 20, e12372. https://doi.org/10.1111/desc.12372[pdf]

• Halbeisen, G., Walther, E., & Schneider, M. (2017). Evaluative conditioning and the development of attitudes in early childhood. Child Development, 88, 1536–1543. https://doi.org/10.1111/cdev.12657[pdf]

2016

• Alcock, L., Ansari, D., Batchelor, S., Bissona, M.-J., De Smedt, B., Gilmore, C., Göbel, S. M., Hannula-Sormunen, M., Hodgen, J., Inglis, M., Jones, I., Mazzocco, M., McNeil, N., Schneider, M., Simms, V., Weber, K. (2016). Challenges in mathematical cognition: A collaboratively-derived research agenda. Journal of Numerical Cognition, 2, 20-41. https://doi.org/10.5964/jnc.v2i1.10 [pdf] [Journal]

• Merz, C. J., Dietsch, F., & Schneider, M. (2016). The impact of psychosocial stress on conceptual knowledge retrieval. Neurobiology of Learning and Memory, 134, 392-399. https://doi.org/10.1016/j.nlm.2016.08.020[pdf]

2014/15

• Schneider, M., & Mustafić, M. (eds.) (2015). Gute Hochschullehre: Eine evidenzbasierte Orientierungshilfe [Effective teaching in higher education: An evidence-based perspective]. Heidelberg: Springer. https://doi.org/10.1007/978-3-662-45062-8[Publisher] [Google Books]

• Torbeyns, J. Schneider, M., Xin, Z., & Siegler, R. S. (2015). Bridging the gap: Fraction understanding is central to mathematics achievement in students from three different continents. Learning and Instruction, 37, 5-13. https://doi.org/10.1016/j.learninstruc.2014.03.002[pdf]
  (Part of the special issue Mind the Gap! Studies on the Development of the Rational Number Concept)

• Rittle-Johnson, B., Schneider, M., & Star, J. (2015). Not a one-way street: Bi-directional relations between procedural and conceptual knowledge of mathematics. Educational Psychology Review, 27, 587-597. https://doi.org/10.1007/s10648-015-9302-x[pdf]
  (Part of the special issue Myth or Reality? Evaluating Common Practices and Beliefs in Education)

• Rittle-Johnson, B., & Schneider, M. (2015). Developing conceptual and procedural knowledge in mathematics. In R. Cohen Kadosh & A. Dowker (Eds.), Oxford handbook of numerical cognition (pp. 1102-1118). Oxford, UK: Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199642342.013.014 [pdf] [Link]

2013

• Schneider, M., * & Hardy, I. * (2013). Profiles of inconsistent knowledge in children's pathways of conceptual change. Developmental Psychology, 49, 1639-1649. https://doi.org/10.1037/a0030976 [pdf] 
  * both authors contributed equally

• Vogel, S. E., Grabner, R. H., Schneider, M., Siegler, R. S., & Ansari, D. (2013). Overlapping and distinct brain regions involved in estimating the spatial position of numerical and non-numerical magnitudes: An fMRI study. Neuropsychologia, 51, 979-989. https://doi.org/10.1016/j.neuropsychologia.2013.02.001 [pdf]

• Heine, A., Wißmann, J., Tamm, S., De Smedt, B., Schneider, M., Stern, E., Verschaffel, L., & Jacobs, A. M. (2013). An electrophysiological investigation of non-symbolic magnitude processing: Numerical distance effects in children with and without mathematical learning disabilities. Cortex, 49, 2162-2177. https://doi.org/10.1016/j.cortex.2012.11.009[pdf]

• Edelsbrunner, P., & Schneider, M. (2013). Modelling for prediction vs. modelling for understanding: Commentary on Musso et al. (2013). Frontline Learning Research, 2, 99-101. https://doi.org/10.14786/flr.v1i2.74 [pdf]

2012

• Schneider, M. (2012). Knowledge integration in mathematics learning: The case of inversion. Educational Studies in Mathematics, 79, 447-453. https://doi.org/10.1007/s10649-011-9373-7[pdf]

• Schneider, M. & Grabner, R. H. (2012). Fact learning. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning (pp. 1264-1266). New York: Springer. https://doi.org/0.1007/978-1-4419-1428-6_844

• Schneider, M. (2012). Knowledge integration. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning (pp. 1684-1686). New York: Springer.https://doi.org/10.1007/978-1-4419-1428-6_807

• Schneider, M., Vamvakoussi, X., & van Dooren, W. (2012). Conceptual change. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning. New York: Springer. https://doi.org/10.1007/978-1-4419-1428-6_352

• De Smedt, B., Ansari, D., Grabner, R. H., Hannula-Sormunen, M., Schneider, M., & Verschaffel, L. (2011). Cognitive neuroscience meets mathematics education: It takes two to tango [Reply to Turner (2011)]. Educational Research Review, 6, 232-237. https://doi.org/10.1016/j.edurev.2011.10.003[pdf]

2011

• Schneider, M., Rittle-Johnson, B., & Star, J. R. (2011). Relations between conceptual knowledge, procedural knowledge, and procedural flexibility in two samples differing in prior knowledge. Developmental Psychology, 47, 1525-1538. https://doi.org/10.1037/a0024997 [pdf]

• Siegler, R. S., Thompson, C. A., & Schneider, M. (2011). An integrated theory of whole number and fractions development. Cognitive Psychology, 62, 273-296. https://doi.org/10.1016/j.cogpsych.2011.03.001 [pdf]

2010

• Schneider, M., & Stern, E. (2010). The developmental relations between conceptual and procedural knowledge: A multimethod approach. Developmental Psychology, 46, 178-192. https://doi.org/10.1037/a0016701[pdf]

• Schneider, M., & Siegler, R. S. (2010). Representations of the magnitudes of fractions. Journal of Experimental Psychology: Human Perception and Performance, 36, 1227-1238. https://doi.org/10.1037/a0018170[pdf]

• Schneider, M., & Stern, E. (2010). The cognitive perspective on learning: Ten cornerstone findings. In H. Dumont, D. Istance, & F. Benavides (Ed.), The nature of learning: Using research to inspire practice (pp. 69-90). Paris: Organisation for Economic Co-Operation and Development (OECD). https://doi.org/10.1787/9789264086487-5-en[pdf]

• Grabner, R. H., Ansari, D., Schneider, M., De Smedt, B., Hannula, M., Stern, E. (ed.) (2010). Special issue on cognitive neuroscience and mathematics education research. ZDM – International Journal on Mathematics Education, 42(6).

• Stern, E., & Schneider, M. (2010). A digital road map analogy of the relationship between neuroscience and educational research [Editorial]. ZDM – International Journal on Mathematics Education, 42, 511-514. https://doi.org/10.1007/s11858-010-0278-1[pdf]
  (Part of the special issue Cognitive Neuroscience and Mathematics Education Research)

• Schneider, M., Rode, C., & Stern, E. (2010). Secondary school students' availability and activation of diagrammatic strategies for learning from texts. In L. Verschaffel, E. de Corte, T. de Jong, & J. Elen (Eds.), Use of external representations in reasoning and problem solving (EARLI Book Series) (pp. 112-130). London: Routledge. [pdf]

• Heine, A., Thaler, V., Tamm, S., Hawelka, S., Schneider, M., Torbeyns, J., De Smedt, B., Verschaffel, L., Stern, E., Jacobs, A. M. (2010). What the eyes already 'know': Using eye measurement to tap into children's implicit numerical magnitude representations. Infant and Child Development, 19, 175-186. https://doi.org/10.1002/icd.640[pdf]

• Heine, A., Tamm, S., De Smedt, B., Schneider, M., Thaler, V., Torbeyns, J., Stern, E., Verschaffel, L., & Jacobs, A. M. (2010). The numerical Stroop effect in primary school children: A comparison of low, normal, and high achievers. Child Neuropsychology, 16, 461-477. https://doi.org/10.1080/09297041003689780[pdf]

• De Smedt, B., Ansari, D., Grabner, R. H., Hannula, M. M., Schneider, M., & Verschaffel, L. (2010). Cognitive neuroscience meets mathematics education. Educational Research Review, 5, 97-105. https://doi.org/10.1016/j.edurev.2009.11.001

2009

• Schneider, M., Grabner, R. H., & Paetsch, J. (2009). Mental number line, number line estimation, and mathematical achievement: Their interrelations in grades 5 and 6. Journal of Educational Psychology, 101, 359-372. https://doi.org/10.1037/a0013840[pdf]

• Schneider, M., & Stern, E. (2009). The inverse relation of addition and subtraction: A knowledge integration perspective. Mathematical Thinking and Learning, 11, 92-101. https://doi.org/10.1080/10986060802584012[pdf]

Vor 2009

• Schneider, M., Heine, A., Thaler, V., Torbeyns, J., De Smedt, B., Verschaffel, L., Jacobs, A., & Stern, E. (2008). A validation of eye movements as a measure of elementary school children’s developing number sense. Cognitive Development, 23, 424-437. https://doi.org/10.1016/j.cogdev.2008.07.002[pdf]

• Schneider, M., & Stern, E. (2007). Informationsverarbeitungsansätze der Entwicklungspsychologie [Information processing accounts in developmental psychology]. In M. Hasselhorn & W. Schneider (Eds.), Handbuch der Entwicklungspsychologie (pp. 26-37). Göttingen: Hogrefe. [pdf]

• Stern, E., Felbrich, A., & Schneider, M. (2006, 2010, 2018). Mathematik lernen [Learning mathematics]. In D. H. Rost (Ed.), Handwörterbuch Pädagogische Psychologie (3rd, 4th, & 5th ed.) (pp. 507-514). Weinheim: Beltz. [pdf]

• Hardy, I., Schneider, M., Jonen, A., Stern, E., & Möller, K. (2005). Fostering diagrammatic reasoning in science education. Swiss Journal of Psychology, 64, 207-217. https://doi.org/10.1024/1421-0185.64.3.207 [pdf]