Agreement Between Type of Explanation and Graphic Representation : Influence of Discrete and Continuous Concepts
Kanzaki N.; Miwa K.
2013
Japanese Journal of Educational Psychology
0
10.5926/jjep.61.121
Many published studies of graph comprehension have indicated that information gleaned from a graph is greatly influenced by the representation in the graph. Graphical representations of data should be consistent with the contents of the verbal explanation of those data. The present study investigated whether individuals who were engaging daily in academic activities using graphs (expert graph users), science graduates (semi-experts), and liberal arts undergraduates (non-experts) could generate graphs consistent with verbal explanations of data. The results of Experiment 1 suggested that expert graph users and science graduates could generate such graphs. On the other hand, in Experiment 2, undergraduates did not do so. The results of Experiment 3 suggested the possibility that presenting examples of possible graphs might result in improvement in the graph selections by undergraduates. © 2013, The Japanese Association of Educational Psychology. All rights reserved.
diagrammatic representation; explanations; external representation; graph generation
Carey L.J., Flower L., Hayes J.R., Schriver K.A., Haas C., Differences in writers' initial task representations, Technical Report, (1989); Carpenter P.A., Shah P., A model of the perceptual and conceptual processes in graph comprehension, Journal of Experimental Psychology : Applied, 4, pp. 5-100, (1998); Hall V.C., Bailey J., Tillman C., Can student-generated illustrations be worth ten thousand words?, Journal of Educational Psychology, 89, pp. 77-681, (1997); Hayes J., Flower L., Identifying the organization of writing processes, Cognitive processes in writing, pp. 3-30, (1980); Kakihana K., Statistic education for junior college / non science majored students : Selection of graph in a spreadsheet, Bulletin of Tokyo Kasei Gakuin Tsukuba Women's University, 6, pp. 95-102, (2002); Kanzaki N., Miwa K., Experimental investigation of the effects of representations and perspectives for the comprehension of line graphs, Japanese Journal of Psychology, 83, pp. 163-173, (2012); Kosslyn S.M., Graph design for the eye and mind, (2006); Larkin J.H., Simon H.A., Why a diagram is (sometimes) worth ten thousand words, Cognitive Science, 11, pp. 5-99, (1987); Norman D., Turn signals are the facial expressions of automobiles, (1992); Norman D., Cognitive artifacts, Designing interaction : Psychology at the human-computer interface, pp. 17-38, (1991); Peebles D., Cheng P.C.H., Modeling the effect of task and graphical representation on response latency in a graph reading task, Human Factors, 45, pp. 8-45, (2003); Pinker S., A theory of graph comprehension, Artificial intelligence and the future of testing, pp. 73-126, (1990); Shah P., Carpenter P.A., Conceptual limitations in comprehending line graphs, Journal of Experimental Psychology : General, 124, pp. 3-61, (1995); Shah P., Mayer R.E., Hegarty M., Graphs as aids to knowledge construction : Signaling techniques for guiding the process of graph comprehension, Journal of Educational Psychology, 91, pp. 90-702, (1999); Stern E., Aprea C., Ebner H.G., Improving cross-content transfer in text processing by means of active graphical representation, Learning and Instruction, 13, pp. 91-203, (2003); Zacks J., Tversky B., Bars and lines : A study of graphic communication, Memory & Cognition, 27, pp. 073-1079, (1999)
Article
All Open Access; Bronze Open Access
Scopus