External and Internal Representations in the Acquisition and Use of Knowledge: Visualization Effects on Mental Model Construction Wolfgang Schnotz, Christian Kurscher. Instructional Science. Amsterdam: May 2008. Vol. 36, Iss. 3; pp. 175-190. 1.0 Abstract A noteworthy article on a critical educational domain. This knol, “External and Internal Representations in the Acquisition and Use of Knowledge: Visualization Effects on Mental Model Construction” written by Wolfgang Schnotz and Christian Kurscher (2008), investigates whether different formats of visualizing information result in different mental models constructed in learning from pictures, whether the different mental models precede to different patterns of performance in subsequently presented tasks, and how these visualization effects can be amended by further external representations during task performance. The authors present a line of argument for educators and practitioners to have an alternative view in multimedia learning using integrated model of text and picture comprehension earlier proposed by Schnotz and Bannert (2003) which the authors believe is necessary in order to understand “how multiple external representations interact with internal (mental) multiple representations not only in the acquisition of knowledge, but also in using of the acquired knowledge, when an individual can rely on his/her own internal mental representations as well as on other external representations in order to solve specific tasks at hand” (Schnotz & Kurschner, 2008). Therefore, both Schnotz and Kurscher are keen to point out that the form of visualization has an effect on the structure of the mental modal constructed during learning, which subsequently influences the patterns of performance that individuals show after learning. They are also keen to explain the effectiveness 1 of further external representations during the usage of acquired knowledge. My overall impression is that the authors have presented the case in an enlightening way while expressing it in a clear, well-structured and succinct approach. 2.0 Introduction & Problem Identification In this article the authors have relied on Paivio’s (1986) dual-coding theory which assumes that human cognition includes verbal and pictorial subsystems. They are interrelated, therefore, memory is enhanced as more elaboration can be obtained. Schnotz and Kurschner also site Mayer’s (2001, 2005) cognitive theory of multimedia learning which assumes that humans are active sense-makers. Through engagement in active cognitive processing, they construct related knowledge structure from their available external information and prior knowledge. However, Schnotz and Kurschner assert these theories as simplistic and have yet to explain some principles of representations. With this notion, the authors seek for an alternative view and further explanation on multiple external representations and multimedia learning by employing the integrated model of text and picture comprehension earlier proposed by Schnotz and Bannert (2003). This model claims that “pictures facilitate learning only if the subject matter is visualized in a task-appropriate way, otherwise learning may be interfered” (Schnotz and Bannert, 2003). Thus, it is significant to investigate whether different formats of visualizing information result in different mental models constructed in learning from pictures, whether the different mental models proceed to different patterns of performance in subsequently presented tasks, and how these visualization effects can be modified by further external representations during task performance. 2 3.0 The Methodology Employed 3.1 Sample and Instrument For the purpose of the study, Schnots and Kurscher had identified 80 university students majoring in different fields and randomly assigned them to four groups of 20 persons to correspond to four experimental conditions. There were two factors being tested. First, it was the kind of picture used for visualizing the learning content. The second factor was the availability of an external source of information during the process of solving tasks after learning. The learning material was a text of 2750 words about the existence of different daytimes and dates on earth combined with different sets of pictures as external visualization of the learning content, namely either carpet pictures or circle pictures. 3.2 Procedure and Scoring The experiment encompassed three different phases; testing learning prerequisite phase, learning phase and task performance phase. During task performance phase, an assessment of comprehension on 16 time difference tasks (carpet picture groups) and 16 circumnavigation tasks (circle picture groups) were given to the subjects to be solved. At this stage too, one half of the subjects were given access to external representation aid table (Table 1) while the other half without it and therefore had to rely on their internal mental representations of the learning material. The percent of correctly solved time difference and circumnavigation tasks was used as to determine the score for each visual format. 3.3 Results The mean and standard deviations of learning with the factors visualization format, external representation and the kind of task can be seen in Table 3 of the article. Table 3 showed that participants who had learned with carpet pictures performed better with time difference tasks 3 (matching task) than participants who learned with circle pictures. In addition, participants who had learned with circle pictures performed better with circumnavigation tasks (matching task) than participants who learned with carpet pictures. These results, thus, support Schnotz and Kurschner’s hypotheses that different formats of visualizing information result in different mental models constructed in learning from picture and different mental models lead to different patterns of performance in subsequently presented tasks. On the other hand, information in Figure 4 indicated that the effect of form of visualization on patterns of performance after learning was significantly reduces when further external representations are available during the usage of acquired knowledge. Expectedly, the result also supports the authors’ hypothesis that visualization effects can be modified by further external representations during task performance. 4.0 Conclusion Through this study, Schnotz and Kurschner have shed some lights into a critical issue in the area of multiple representations and multimedia learning. The results of their experiments showed that the form of visualization one receives has an effect on his/her mental model structure during learning and influences on the pattern of performance after learning. Their findings also reveal that a combination of task and learning with appropriate visual representation will foster the learning of content. In contrast, a combination of task and learning with inappropriate visual representation may rather interfere the learning of content. Their findings here support Schnotz and Bannert’s (2003) notion that “pictures facilitate learning only if the subject matter is visualized in a task-appropriate way, otherwise learning may be interfered”. 4 These findings are, in fact, an eye-opener into understanding multiple external representations and multimedia learning because they are more elaborated. Schnotz and Kurschner claimed that Paivio’s (1986) dual-coding theory as too simplistic as the theory attempts at giving equal weight to both verbal and pictorial subsystems but ignores the critical contention of the appropriateness of multiple external visual representations in fostering learning. With these findings, too, Schnotz and Kurschner helped to explain and elaborate some part of Mayer’s (2001, 2005) cognitive theory of multimedia learning that they found questionable. Further, the study had been well-conducted and articulated. However, for the benefit of better validation and generalization of the findings, the same study can be replicated on different area of studies and different groups of learners in various situations. In my conception, this will bring us all to a new, different or even better understanding of multiple external representation and multimedia learning. In addition, Schnotz and Lowe (2003) also proposed researchers in the field of multimedia learning and visual representations to further investigate the complex interplay between external representations and internal (mental) representations involved in learning from multimedia as they claim that it is a rapidly expanding area of research and has such important implications for future educational practice. Nevertheless, I believe that Schnortz and Kurschner’s findings had made a breakthrough in multiple external representations and multimedia learning. Educators and education practitioners now need to come to understand that it is important not to only supply multiple external representations to facilitate learning of content but also to consider selecting the appropriate form of visualizations to pair with the targeted tasks. Larkin and Simon (1987) once said that a picture can be worth more than 10 000 words. Thus, this careful and selective conduct 5 is a fundamental as it is a determinant factor to ascertain the ease or difficulty of learning. Otherwise, it may turn useless because learning may be interfered. 5.0 References Larkin, J., & Simon, H. (1987). Why a diagram is (sometimes) worth ten thousands words? Cognitive Sciences, 11, 65-99 Mayer, R. (2001). Multimedia learning. New York: Cambridge University Press. Mayer, R. (2005). The Cambridge handbook of multimedia learning. Cambridge: Cambridge University Press. Paivio, A. (1986). Mental representations: A dual-coding approach. New York: Oxford University Press. Schnotz, W. (2005). An integrated model of text and picture comprehension. In R. E. Mayer (Ed.), Cambridge handbook of multimedia learning. (pp. 49-69). Cambridge: Cambridge University Press. Schnotz, W., Bannert, M. (2003). Construction and interference in learning from multiple representation. Learning and Instruction, 13(2), 141-156. Schnotz, W., Kurschner, C. (2008). External and internal representations in the acquisition and use of knowledge: visualization effects on mental model construction. Instructional Science, 36(3), 175-190. Schnotz, W., Lowe, R. (2003). External and internal representations in multimedia learning. Learning and Instruction, 13, 117-123. 6