Ainsworth, S. (2006). DeFT: A conceptual framework for considering learning with multiple representations. Learning and Instruction, 16(3), 183–198. https://doi.org/10.1016/j.learninstruc.2006.03.001
Google Scholar | Crossref An, D., Carr, M. (2017). Learning styles theory fails to explain learning and achievement: Recommendations for alternative approaches. Personality and Individual Differences, 116(1), 410–416. https://doi.org/10.1016/j.paid.2017.04.050
Google Scholar | Crossref Begg, I., Paivio, A. (1969). Concreteness and imagery in sentence meaning. Journal of Verbal Learning and Verbal Behavior, 8(6), 821–827. https://doi.org/10.1016/S0022-5371(69)80049-6
Google Scholar | Crossref Bensley, D. A., Lilienfeld, S. O. (2015). What is a psychological misconception? Moving toward an empirical answer. Teaching of Psychology, 42(4), 282–292. https://doi.org/10.1177/0098628315603059
Google Scholar | SAGE Journals | ISI Brandriet, A. R., Bretz, S. L. (2014). Measuring meta-ignorance through the lens of confidence: Examining students’ redox misconceptions about oxidation numbers, charge, and electron transfer. Chemistry Education Research and Practice, 15(4), 729–746. https://doi.org/10.1039/C4RP00129J
Google Scholar | Crossref Butcher, K. R. (2014). The multimedia principle. In Mayer, R. E. (Ed.), The cambridge handbook of multimedia learning (2nd ed., pp. 174–206). Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.010
Google Scholar | Crossref Carney, R. N., Levin, J. R. (2002). Pictorial illustrations still improve students’ learning from text. Educational Psychology Review, 14, 5–26. https://doi.org/10.1023/A:1013176309260
Google Scholar | Crossref | ISI Chen, C. L., Cheng, S. Y., Lin, J. M. C. (2012). A study of misconceptions and missing conceptions of novice Java programmers. Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS) (p. 1). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
Google Scholar Chi, M. T. H. (2005). Commonsense conceptions of emergent processes: Why some misconceptions are robust. The Journal of the Learning Sciences, 14(2), 161–199. https://doi.org/10.1207/s15327809jls1402_1
Google Scholar | Crossref | ISI Coffield, F., Moseley, D., Hall, E., Ecclestone, K. (2004). Learning styles and pedagogy in post-16 learning: A systematic and critical review. Learning and Skills Research Council. http://hdl.voced.edu.au/10707/69027
Google Scholar Craik, F. I. M., Tulving, E. (1975). Depth of processing and the retention of words in episodic memory. Journal of Experimental Psychology: General, 104(3), 268–294. https://doi.org/10.1037/0096-3445.104.3.268
Google Scholar | Crossref | ISI Cristobal, E., Flavian, C., Guinaliu, M. (2007). Perceived e-service quality (PeSQ): Measurement validation and effects on consumer satisfaction and web site loyalty. Managing Service Quality: An International Journal, 17(3), 317–340. https://doi.org/10.1108/09604520710744326
Google Scholar | Crossref Dale, E. (1969). Audio-Visual methods in teaching (3rd ed.). Holt, Rinehart & Winston.
Google Scholar Deibl, I., Zumbach, J. (2020). Ich bin eher der auditive lerntyp – der glaube an neuromythen bei lehramtsstudierenden und implikationen für die lehrer* innenbildung [I am the auditory learner – student teachers’ beliefs in neuromyths and the consequences for teacher education]. In Krämer, M., Zumbach, J., Deibl, I. (Eds.), Psychologiedidaktik und evaluation XIII (pp. 111–120). Shaker Verlag. http://dx.https://doi.org/10.23668/psycharchives.4247
Google Scholar Dekker, S., Lee, N. C., Howard-Jones, P., Jolles, J. (2012). Neuromyths in education: Prevalence and predictors of misconceptions among teachers. Frontiers in Psychology, 3, 1–8. https://doi.org/10.3389/fpsyg.2012.00429
Google Scholar | Crossref | Medline Deng, L., Chan, W. (2017). Testing the difference between reliability coefficients alpha and omega. Educational and Psychological Measurement, 77(2), 185–203. https://doi.org/10.1177/0013164416658325
Google Scholar | SAGE Journals | ISI Dignath-van Ewijk, C., van der Werf, G. (2012). What teachers think about self-regulated learning: Investigating teacher beliefs and teacher behavior of enhancing students’ self-regulation. Education Research International, 1–10. https://doi.org/10.1155/2012/741713
Google Scholar | Crossref Dreher, A., Kuntze, S. (2015). Teachers’ professional knowledge and noticing: The case of multiple representations in the mathematics classroom. Educational Studies in Mathematics, 88(1), 89–114. https://doi.org/10.1007/s10649-014-9577-8
Google Scholar | Crossref Eitel, A., Dersch, A. S., Renkl, A. (2019). Wissenschaftliche annahmen und fehlkonzepte angehender lehrkräfte über das lernen mit multimedia [Pre-service teachers’ knowledge and misconceptions of learning with multimedia]. Unterrichtswissenschaft, 47(4), 451–474. https://doi.org/10.1007/s42010-019-00049-4
Google Scholar | Crossref Ferrero, M., Garaizar, P., Vadillo, M. A. (2016). Neuromyths in education: Prevalence among spanish teachers and an exploration of cross-cultural variation. Frontiers in Human Neuroscience, 10, Article 496. https://doi.org/10.3389/fnhum.2016.00496
Google Scholar | Crossref | Medline Ganis, G., Thompson, W. L., Kosslyn, S. M. (2004). Brain areas underlying visual mental imagery and visual perception: An fMRI study. Cognitive Brain Research, 20(2), 226–241. https://doi.org/10.1016/j.cogbrainres.2004.02.012
Google Scholar | Crossref | Medline Green, N., Green, K. (2005). Kooperatives lernen im klassenraum und im kollegium: Das trainingsbuch [cooperative learning in classroom and college: A training handbook]. Kallmeyer.
Google Scholar Greiff, S., Heene, M. (2017). Why psychological assessment needs to start worrying about model fit. European Journal of Psychological Assessment, 33(5), 313–317. https://doi.org/10.1027/1015-5759/a000450
Google Scholar | Crossref Harp, S. F., Mayer, R. E. (1998). How seductive details do their damage: A theory of cognitive interest in science learning. Journal of Educational Psychology, 90(3), 414–434. https://doi.org/10.1037/0022-0663.90.3.414
Google Scholar | Crossref | ISI Hodapp, V., Benson, J. (1997). The multidimensionality of test anxiety: A test of different models. Anxiety, Stress, and Coping, 10(3), 219–244. https://doi.org/10.1080/10615809708249302
Google Scholar | Crossref Howard-Jones, P. A. (2014). Neuroscience and education: Myths and messages. Nature Reviews Neuroscience, 15(12), 817–824. https://doi.org/10.1038/nrn3817
Google Scholar | Crossref | Medline Hu, L., Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424
Google Scholar | Crossref | ISI Hughes, S., Lyddy, F., Lambe, S. (2013). Misconceptions about psychological science: A review. Psychology Learning & Teaching, 12(1), 20–31. https://doi.org/10.2304/plat.2013.12.1.20
Google Scholar | SAGE Journals Kalyuga, S., Sweller, J. (2014). The redundancy principle in multimedia learning. In Mayer, R. E. (Ed.), The Cambridge handbook of multimedia learning (2nd ed., pp. 247–262). Cambridge University Press.
Google Scholar | Crossref Kirschner, P. A. (2017). Stop propagating the learning styles myth. Computers & Education, 106, 166–171. https://doi.org/10.1016/j.compedu.2016.12.006
Google Scholar | Crossref Krammer, G., Vogel, S. E., Yardimci, T., Grabner, R. H. (2019). Neuromythen sind zu beginn des lehramtsstudiums prävalent und unabhängig vom wissen über das menschliche gehirn [neuromyths are prevalent and independent of the knowledge of the human brain at the beginning of teacher education]. Zeitschrift für Bildungsforschung, 9(2), 221–246. https://doi.org/10.1007/s35834-019-00238-2
Google Scholar | Crossref Kubik, V., Glogger-Frey, I., Gaschler, R. (this issue). Supporting self-regulated learning: Learning strategies, feedback, and training. Psychology Learning & Teaching.
Google Scholar Lawson, M. J., Vosniadou, S., Van Deur, P., Wyra, M., Jeffries, D. (2019). Teachers’ and students’ belief systems about the self-regulation of learning. Educational Psychology Review, 31(1), 223–251. https://doi.org/10.1007/s10648-018-9453-7
Google Scholar | Crossref Letrud, K. (2020). Acquiesced and unrefuted: The growth of scientific myths. [Doctoral dissertations. University of Bergen], Bergen Open Research Archive. https://hdl.handle.net/1956/22311
Google Scholar Letrud, K., Hernes, S. (2018). Excavating the origins of the learning pyramid myths. Cogent Education, 5(1), Article 1518638. https://doi.org/10.1080/2331186X.2018.1518638
Google Scholar | Crossref Levie, W. H., Lentz, R. (1982). Effects of text illustrations: A review of research. Educational Communication and Technology, 30(4), 195–232. https://doi.org/10.1007/BF02765184
Google Scholar Levy, S. (1974). Psychobiological implication of bilateral asymmetry. In Dimond, S. J., Beaumont, H. G. (Eds.), Hemisphere function in the human brain (pp. 121–183). Wiley.
Google Scholar Li, C. H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48(3), 936–949. https://doi.org/10.3758/s13428-015-0619-7
Google Scholar | Crossref | Medline Lindner, M. A. (2020). Representational and decorative pictures in science and mathematics tests: Do they make a difference? Learning and Instruction, 68, Article 101345. https://doi.org/10.1016/j.learninstruc.2020.101345
Google Scholar | Crossref Lindner, M. A., Lüdtke, O., Grund, S., Köller, O. (2017). The merits of representational pictures in educational assessment: Evidence for cognitive and motivational effects in a time-on-task analysis. Contemporary Educational Psychology, 51, 482–492. https://doi.org/10.1016/j.cedpsych.2017.09.009
Google Scholar | Crossref Looß, M. (2001). Lerntypen? Ein pädagogisches konstrukt auf dem prüfstand [learning styles? A pedagogical construct under scrutiny]. Die Deutsche Schule, 93(2), 186–198.
Google Scholar Macdonald, K., Germine, L., Anderson, A., Christodoulou, J., McGrath, L. M. (2017). Dispelling the myth: Training in education or neuroscience decreases but does not eliminate beliefs in neuromyths. Frontiers in Psychology, 8, Article 1314. https://doi.org/10.3389/fpsyg.2017.01314
Google Scholar | Crossref | Medline Mayer, R. E. (2014). Cognitive theory of multimedia learning. In Mayer, R. E. (Ed.), The cambridge handbook of multimedia learning (2nd ed., pp. 43–71). Cambridge University Press.
Google Scholar | Crossref Mayer, R. E., Massa, L. J. (2003). Three facets of visual and verbal learners: Cognitive ability, cognitive style, and learning preference. Journal of Educational Psychology, 95(4), 833–846. https://doi.org/10.1037/0022-0663.95.4.833
Google Scholar | Crossref | ISI McElvany, N., Schroeder, S., Richter, T., Hachfeld, A., Baumert, J., Schnotz, W., Horz, H., Ullrich, M. (2010). Texte mit instruktionalen bildern als unterrichtsmaterial: Kompetenzen der lehrkräfte [Teachers’ competencies regarding texts and instructional pictures as classroom materials]. Unterrichtswissenschaft, 38(2), 98–116.
Google Scholar Menz, C., Spinath, B., Hendriks, F., Seifried, E. (2021). Reducing educational psychological misconceptions: How effective Are standard lectures, refutation lectures, and instruction in information evaluation strategies? Scholarship of Teaching and Learning in Psychology. http://dx.https://doi.org/10.1037/stl0000269
Google Scholar | Crossref Menz, C., Spinath, B., Seifried, E. (2020). Misconceptions die hard: Prevalence and reduction of wrong beliefs in topics from educational psychology among preservice teachers. European Journal of Psychology of Education, 1–18. https://doi.org/10.1007/s10212-020-00474-5
Google Scholar Moosbrugger, H., Kelava, A. (2012). Testtheorie und fragebogenkonstruktion [test theory and questionnaire construction] (2nd ed.). Springer.
Google Scholar | Crossref Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
Google Scholar Papadatou-Pastou, M., Haliou, E., Vlachos, F. (2017). Brain knowledge and the prevalence of neuromyths among prospective teachers in Greece. Frontiers in Psychology, 8, 804. https://doi.org/10.3389/fpsyg.2017.00804
Google Scholar | Crossref | Medline Pashler, H., McDaniel, M., Rohrer, D., Bjork, R. (2008). Learning styles: Concepts and evidence. Psychological Science in the Public Interest, 9(3), 105–119. https://doi.org/10.1111/j.1539-6053.2009.01038.x
Google Scholar | SAGE Journals R Core Team . (2017). R: A language and environment for statistical computing (version 3.6.23). Vienna, Austria. Retrieved from https://www.R-project.org/
Google Scholar Revelle, W. R. (2019). Psych: Procedures for psychological, psychometric, and personality research, R package 1.8. 4.
Google Scholar Rey, G. D. (2012). A review of research and a meta-analysis of the seductive detail effect. Educational Research Review, 7(3), 216–237. https://doi.org/10.1016/j.edurev.2012.05.003
Google Scholar | Crossref Rodriguez, A., Reise, S. P., Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21(2), 137–150. https://doi.org/10.1037/met0000045
Google Scholar | Crossref | Medline Rohrer, D., Pashler, H. (2012). Learning styles: Where’s the evidence? Medical Education, 46(7), 634–635.