Abstract
Much is known about assessment in all its forms and the corpus of theory, and knowledge is growing daily. In a similar vein, the use of multimedia for learning also has a sound basis in research and theory, such as the cognitive load theory (CLT; Sweller, Van Merriënboer, & Paas, (1998). Educational Psychological Review, 10, 251–296), human information processing (e.g., Atkinson & Shiffrin (1968). Human memory: A proposed system and its control processes. In K. W. Spence & J. T. Spence (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol. 2, pp. 89–192). New York: Academic Press; Miller (1956). Psychological Review, 63, 81–97; Paivio (1986) Mental representations: A dual coding approach. New York: Oxford University Press), and praxis in the form of evidence-informed design principles often based on the cognitive theory of multimedia learning (CTMML; Mayer (2005b). Cognitive theory of multimedia learning. In R. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 31–48). New York: Cambridge University Press). However, the combination of the two lacks both theoretical underpinnings and practical design principles. Multimedia assessment (MMA) is, at best, either a translation of paper-based assessment and assessment principles to the computer screen or an attempt to make use of the theory and principles underlying multimedia learning (i.e., CTMML). And this is the problem. In the first place, MMA needs, just as multimedia learning (MML), its own theory and principles. Just as MML was not simply the translation of paper-based learning to the computer screen, MMA requires its own place. In the second place, the application of CTMML and its principles to assessment leads to problems. The CTMML is based upon the idea that learning should be facilitated by the proper use of CTMML principles and its underlying theories (CLT, human information processing). In cognitive load terms, germane load is increased, while extraneous load is avoided so as to facilitate effective and efficient learning. But the goal of assessment is not learner facilitation, but rather separating the wheat from the chaff. Those who do not possess the knowledge and skills need to not be able to answer the question, while those who do have the knowledge and skills need to answer correctly. This may mean that certain forms of extraneous load need to be increased, while germane load needs to be minimized. This chapter will kick off the road to a cognitive theory of multimedia assessment (CTMMA).
References
Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. In K. W. Spence & J. T. Spence (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol. 2, pp. 89–192). New York, NY: Academic.
Baddeley, A. D. (1992). Working memory. Science, 255, 556–559. doi:10.1126/science.1736359.
Balslev, T., Jarodzka, H., Holmqvist, K., De Grave, W. S., Muijtjens, A., Eika, B., et al. (2012). Visual expertise in paediatric neurology. European Journal of Paediatric Neurology, 16, 161–166. doi:10.1016/j.ejpn.2011.07.004.
Bortz, J., & Döring, N. (2013). Forschungsmethoden und evaluation [Research methods and evaluation]. Heidelberg, Germany: Springer-Verlag.
Boshuizen, H. P. A., & Schmidt, H. G. (1992). Biomedical knowledge and clinical expertise. Cognitive Science, 16, 153–184.
Brünken, R., Steinbacher, S., Schnotz, W., & Leutner, D. (2001). Mentale Modelle und Effekte der Präsentations- und Abrufkodalität beim Lernen mit Multimedia [Mental models and effects of presentation and retrieval coding when learning with multimedia]. Zeitschrift für Pädagogische Psychologie, 15, 16–27. doi:10.1024//1010-0652.15.1.16.
Brünken, R., Steinbacher, S., Plass, J., & Leutner, D. (2002). Assessment of cognitive load in multimedia learning using dual-task methodology. Experimental Psychology, 49, 109–119. doi:10.1027//1618-3169.49.2.109.
Brünken, R., Plass, J. L., & Leutner, D. (2004). Assessment of cognitive load in multimedia learning with dual-task methodology: Auditory load and modality effects. Instructional Science, 32, 115–132. doi:10.1023/B:TRUC.0000021812.96911.c5.
Brünken, R., Seufert, T., & Paas, F. (2010). Measuring cognitive load. In J. L. Plass, R. Moreno, & R. Brünken (Eds.), Cognitive load theory (pp. 181–202). Cambridge, UK: University Press.
Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8, 293–332. doi:10.1207/s1532690xci0804_2.
Chi, M. T. H. (2006). Two approaches to the study of experts’ characteristics. In K. A. Ericsson, N. Charness, R. R. Hoffman, & P. Feltovich (Eds.), The Cambridge handbook of expertise and expert performance (pp. 21–30). Cambridge, UK: Cambridge University Press.
De Boer, N. (2009). De computer bij de centrale examens. Duidelijk digitaal 2 [The computer at the national exams. Clearly digital 2]. http://www.cito.nl/VO/ce/compex/introductie/cve_comp_bij_ce_duidelijk_digitaal_2.pdf
DeLeeuw, K. E., & Mayer, R. E. (2008). A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load. Journal of Educational Psychology, 100, 223–234. doi:10.1037/0022-0663.100.1.223.
Dennick, R., Wilkinson, S., & Purcell, N. (2009). Online eAssessment: AMEE guide no. 39. Medical Teacher, 31, 192–206. doi:10.1080/01421590902792406.
Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence of maximal adaptation to task constraints. Annual Review of Psychology, 47(1), 273–305. doi:10.1146/annurev.psych.47.1.273.
Ericsson, K. A., & Smith, J. (1991). Prospects and limits in the empirical study of expertise. In K. A. Ericsson & J. Smith (Eds.), Towards a general theory of expertise: Prospects and limits (pp. 1–38). Cambridge, MA: University Press.
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406. doi:10.1037/0033-295X.100.3.363.
Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. (Eds.). (2006). The Cambridge handbook of expertise and expert performance. Cambridge, UK: University Press.
Fischer, F., Waibel, M., & Wecker, C. (2005). Nutzenorientierte Grundlagenforschung im Bildungsbereich [Benefit-oriented basic research in the field of education]. Zeitschrift für Erziehungswissenschaft, 8, 427–442. doi:10.1007/s11618-005-0149-7.
Hamm, S., & Robertson, I. (2010). Preferences for deep-surface learning: A vocational education case study using a multimedia assessment activity. Australasian Journal of Educational Technology, 26, 951–965. doi:10.14742/ajet.1027.
Hartig, J., & Klieme, E. (Eds.). (2007). Möglichkeiten und Vorraussetzungen technologiebasierter Kompetenzdiagnostik [Possibilities and prerequisites of technology-driven competence diagnostics]. Bonn, Berlin: Bundesministerium für Bildung und Forschung (BMBF).
Hodges, N. J., Huys, R., & Starkes, J. L. (2007). Methodological review and evaluation of research in expert performance in sport. In G. Tenenbaum & R. C. Eklund (Eds.), Handbook of sport psychology (Vol. 3, pp. 161–183). Hoboken, NJ: Wiley.
Jaarsma, T., Jarodzka, H., Nap, M., Van Merriënboer, J. J. G., & Boshuizen, H. P. A. (2015). Expertise in clinical pathology: Bridging the gap. Advances in Health Sciences Education, 20, 1089–1106. doi:10.1007/s10459-015-9589-x.
Jarodzka, H., Scheiter, K., Gerjets, P., & Van Gog, T. (2010). In the eyes of the beholder: How experts and novices interpret dynamic stimuli. Journal of Learning and Instruction, 20, 146–154. doi:10.1016/j.learninstruc.2009.02.019.
Jarodzka, H., Janssen, N., Kirschner, P. A., & Erkens, G. (2015). Avoiding split attention in computer-based testing: Is neglecting additional information facilitative? British Journal of Educational Technology, 46, 803–817. doi:10.1111/bjet.12174.
Jurecka, A., & Hartig, J. (2007). Computer- und netzwerkbasiertes Assessment [Computer- and network-based assessment]. In J. Hartig & E. Klieme (Eds.), Möglichkeiten und Voraussetzungen technologiebasierter Kompetenzdiagnostik (pp. 37–48). Bonn, Berlin: Bundesministerium für Bildung und Forschung (BMBF).
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38, 23–32. doi:10.1207/S15326985EP3801_4.
Kirschner, P. A. (2002). Cognitive load theory: Implications of cognitive load theory on the design of learning. Learning and Instruction, 12, 1–10. doi:10.1007/s11251-009-9110-0.
Knörzer, L., Brünken, R., & Park, B. (2016). Facilitators or suppressors: Effects of experimentally induced emotions on multimedia learning. Learning and Instruction, 44, 97–107. doi:10.1016/j.learninstruc.2016.04.002.
Korbach, A., Brünken, R., & Park, B. (2016). Learner characteristics and information processing in multimedia learning: A moderated mediation of the seductive details effect. Learning and Individual Differences, 51, 59–68. doi:10.1016/j.lindif.2016.08.030.
Leppink, J., Paas, F., Van der Vleuten, C. P. M., Van Gog, T., & Van Merrienboer, J. J. G. (2013). Development of an instrument for measuring different types of cognitive load. Behavioral Research, 45, 1058–1072. doi:10.3758/s13428-013-0334-1.
Lienert, G. A. (1969). Testaufbau und Testanalyse [Test construction and test analysis] (3., durch einen Anh. über Faktorenanalyse erg. Aufl.). Weinheim, Germany: Beltz.
Lienert, G. A., & Raatz, U. (1994). Testaufbau und Testanalyse [Test construction and test analysis] (5. völlig neu bearbeitete und erweiterte Auflage). Weinheim, Germany: Beltz.
Malone, S., & Brünken, R. (2013). Assessment of driving expertise using multiple choice questions including static vs. animated presentation of driving scenarios. Accident Analysis & Prevention, 51, 112–119. doi:10.1016/j.aap.2012.11.003.
Marcus, N., Cooper, M., & Sweller, J. (1996). Understanding instructions. Journal of Educational Psychology, 88, 49–63. doi:10.1037/0022-0663.88.1.49.
Marshall, S. P. (2002). The index of cognitive activity: Measuring cognitive workload. Proceeding of the 2002 I.E. 7th Conference, Human Factors and Power Plants, 2002. doi: 10.1109/HFPP.2002.1042860.
Mayer, R. E. (1996). Learning strategies for making sense out of expository text: The SOI model for guiding three cognitive processes in knowledge construction. Educational Psychology Review, 8, 357–371. doi:10.1007/BF01463939.
Mayer, R. E. (2001). Multimedia learning. New York, NY: Cambridge University Press.
Mayer, R. E. (2005). The Cambridge handbook of multimedia learning. New York, NY: Cambridge University Press.
Mayer, R. E. (2005). Cognitive theory of multimedia learning. In R. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 31–48). New York, NY: Cambridge University Press.
Mayer, R. E. (2009). Multimedia learning. Cambridge, UK: University Press.
Mayer, R. E. (2010). Unique contributions of eye-tracking research to the study of learning with graphics. Learning and Instruction, 20, 167–171. doi:10.1016/j.learninstruc.2009.02.012.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38, 43–52. doi:10.1207/S15326985EP3801_6.
Meyer, C. A. (1992). What’s the difference between authentic and performance assessment? Educational Leadership, 49, 39–40.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97. doi:10.1037/h0043158.
Miyake, A., & Shah, P. (Eds.). (1999). Models of working memory: Mechanisms of active maintenance and executive control. New York, NY: Cambridge University Press.
Moosbrugger, H., & Kelava, A. (2012). Testtheorie und Fragebogenkonstruktion [Test theory and questionnaire design]. Berlin, Germany: Springer.
Moreno, R., & Park, B. (2010). Cognitive load theory: Historical development and relation to other theories. In R. M. R. B. J. L. Plass (Ed.), Cognitive load theory (pp. 9–28). New York, NY: Cambridge University Press.
Münzer, S. (2012). Facilitating spatial perspective taking through animation: Evidence from an aptitude-treatment-interaction. Learning and Individual Differences, 22, 505–510 http://dx.doi.org/10.1016/j.lindif.2012.03.002.
Münzer, S. (2015). Facilitating recognition of spatial structures through animation and the role of mental rotation ability. Learning and Individual Differences, 38, 76–88 http://dx.doi.org/10.1016/j.lindif.2014.12.007.
Münzer, S., Seufert, T., & Brünken, R. (2009). Learning from multimedia presentations: Facilitation function of animations and spatial abilities. Learning and Individual Differences, 19, 481–485. doi:10.1016/j.lindif.2009.05.001.
Ögren, M., Nyström, M., & Jarodzka, H. (2016, online). There’s more to the multimedia effect than meets the eye: Is seeing pictures believing? Instructional Science. doi: 10.1007/s11251-016-9397-6
Paas, F. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. Journal of Educational Psychology, 84, 429–434. doi:10.1037/0022-0663.84.4.429.
Paivio, A. (1986). Mental representations: A dual coding approach. New York, NY: Oxford University Press.
Park, B. (2010). Testing the additivity hypothesis of cognitive load theory (Doctoral dissertation, Saarland University, Saarbrücken, Germany). Retrieved from http://scidok.sulb.uni-saarland.de/volltexte/2010/3478/.
Park, B., & Brünken, R. (2015). The rhythm method: A new method for measuring cognitive load: An experimental dual-task study. Applied Cognitive Psychology, 29, 232–243. doi:10.1002/acp.3100.
Park, B., Flowerday, T., & Brünken, R. (2015). Cognitive and affective effects of seductive details in multimedia learning. Computers in Human Behavior, 44, 267–278. doi:10.1016/j.chb.2014.10.061.
Park, B., Knörzer, L., Plass, J. L., & Brünken, R. (2015). Emotional design and positive emotions in multimedia learning: An eyetracking study on the use of antropomorphisms. Computers & Education, 86, 30–42. doi:.
Park, B., Korbach, A., & Brünken, R. (2015). Do learner characteristics moderate the seductive-details-effect? A cognitive-load-study using eye-tracking. Journal of Educational Technology & Society, 18, 24–36 http://www.ifets.info/journals/18_4/3.pdf, Creative Commons CC-BY-ND-NC 3.0.
Park, B., Münzer, S., Seufert, T., & Brünken, R. (2016). The role of spatial ability when fostering mental animation in multimedia learning: An ATI-study. Computers in Human Behavior, 64, 497–506. doi:10.1016/j.chb.2016.07.022.
Plass, J. L., Moreno, R., & Brünken, R. (2010). Cognitive load theory. New York, NY: Cambridge University Press.
Posner, M. I. (1988). Introduction: What is it to be an expert? In M. T. H. Chi, R. Glaser, & M. J. Farr (Eds.), The nature of expertise. Hillsdale, NJ: Erlbaum.
Reingold, E. M., & Sheridan, H. (2011). Eye movements and visual expertise in chess and medicine. In S. P. Liversedge, I. D. Gilchrist, & S. Everling (Eds.), Oxford handbook of eye movements (pp. 523–550). Oxford, UK: Oxford University Press.
Rumelhart, D. E., & Ortony, A. (1976). The representation of knowledge in memory. San Diego, CA: Center for Human Information Processing, Department of Psychology, University of California.
Schank, R., & Abelson, R. (1977). Scripts, goals, and understanding. Hillsdale, NJ: LEA.
Sharkey, N. E., & Mitchell, D. C. (1985). Word recognition in a functional context: The use of scripts in reading. Journal of Memory and Language, 24, 253–270. doi:10.1016/0749-596X(85)90027-0.
Sweller, J., Van Merriënboer, J. J. G., & Paas, F. (1998). Cognitive architecture and instructional design. Educational Psychological Review, 10, 251–296. doi:10.1023/b:truc.0000021808.72598.4d.
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York, NY: Springer.
The International Test Commission. (2006). International guidelines on computer-based and internet-delivered testing. International Journal of Testing, 6, 143–171. doi:10.1207/s15327574ijt0602_4.
van Gog, T., Ericsson, K. A., Rikers, R. M. J. P., & Paas, F. (2005). Instructional design for advanced learners: Establishing connections between the theoretical frameworks of cognitive load and deliberate practice. Educational Technology Research and Development, 53, 73–81. doi:10.1007/BF02504799.
Van Meeuwen, L. W., Jarodzka, H., Brand-Gruwel, S., Kirschner, P. A., De Bock, J. J. P. R., & Van Merriënboer, J. J. G. (2014). Identification of effective visual problem solving strategies in a complex visual domain. Learning and Instruction, 32, 10–21. doi:10.1016/j.learninstruc.2014.01.004.
Van Mierlo, C. M., Jarodzka, H., Kirschner, F., & Kirschner, P. A. (2012). Cognitive load theory and e-learning. In Z. Yan (Ed.), Encyclopedia of cyber behavior. Hershey, PA: IGI Global.
Wolff, C. E., Jarodzka, H., Van den Bogert, N., & Boshuizen, H. P. A. (2016). Teacher vision: Comparing expert and novice teachers’ perception of problematic classroom management scenes. Instructional Science, 44(3), 243. doi:10.1007/s11251-016-9367-z.
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This work was – in part – supported by the German Federal Ministry of Education and Research (01PL12057).
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Kirschner, P.A., Park, B., Malone, S., Jarodzka, H. (2016). Toward a Cognitive Theory of Multimedia Assessment (CTMMA). In: Spector, M., Lockee, B., Childress, M. (eds) Learning, Design, and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-17727-4_53-1
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