Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-27T05:13:55.283Z Has data issue: false hasContentIssue false

27 - Multimedia Learning of Meteorology

Published online by Cambridge University Press:  05 June 2012

Richard K. Lowe
Affiliation:
Curtin University
Richard Mayer
Affiliation:
University of California, Santa Barbara
Get access

Summary

Abstract

Meteorology increasingly relies on visualizations but the particular contributions that multimedia's visual components make to learning are relatively unexplored. This chapter examines the basis for comprehending weather maps and how learners extract information from static and animated depictions. Meteorological knowledge deficiencies hamper learners' processing. Information extracted is superficial and fragmentary with key information in the animation neglected despite being explicitly depicted and flexibly available via user control. Inadequate processing stems from the display's perceptual characteristics. For such specialized visualizations to be effective in multimedia learning materials, they may need to be given extensive support. Implications for multimedia learning theory and instructional design practice are discussed.

What Is Multimedia Learning of Meteorology?

Multimedia approaches to the learning of meteorology are well established within the field and widely accepted internationally. This acceptance is reflected in the large-scale instructional initiatives in both the United States (the COMET Program; http://www.comet.ucar.edu/) and Europe (the EUMETCAL Program; http://eumetcal.meteo.fr/) that for some years have provided computer-based professional education and training in this domain. The multimedia materials produced under these programs combine a diverse range of visual and verbal components (including written text, narrations, static pictures, animations, and video). In recent years, technological advances in delivery systems such as Web casting have led to an increasing emphasis on dynamic and interactive forms of presentation in these materials.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2005

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bally, J., Boneh, T., Nicholson, A. E., & Korb, K. B. (in press). Developing an ontology for the meteorological forecasting process. Proceedings of the 2004 International Federation for Information Processing (IFIP) International Conference on Decision Support Systems (DSS2004), Prato, Italy
Bogacz, S., & Trafton, J. G. (2002). Understanding static and dynamic visualisations: In Narayanan, H. (Ed.), Diagrammatic representation and inference (pp. 247–249). Berlin: Springer-VerlagGoogle Scholar
Hegarty, M. (2003, June). The role of knowledge and display characteristics in interpretation of weather maps. Paper presented at the ONR Workshop on Attention, Perception and Modeling for Complex Displays, Rensselaer Polytechnic Institute, Troy, NY
Hegarty, M., & Just, M. A. (1993). Constructing mental models of machines from text and diagrams. Journal of Memory and Language, 32, 717–742CrossRefGoogle Scholar
Hoffman, R. R. (1991). Human factors psychology in the support of forecasting: The design of advanced meteorological workstations. Weather and Forecasting, 6, 98–1102.0.CO;2>CrossRefGoogle Scholar
Kozma, R. (2003). The material features of multiple representations and their cognitive and social affordances for science understanding. Learning and Instruction, 13, 205–226CrossRefGoogle Scholar
Lewalter, D. (2003). Cognitive strategies for learning from static and dynamic visuals. Learning and Instruction, 13, 177–189CrossRefGoogle Scholar
Lowe, R. K. (1993). Constructing a mental representation from an abstract technical diagram. Learning and Instruction, 3, 157–179CrossRefGoogle Scholar
Lowe, R. K. (1994a). Diagram prediction and higher order structures in mental representation. Research in Science Education, 24, 208–216CrossRefGoogle Scholar
Lowe, R. K. (1994b). Selectivity in diagrams: Reading beyond the lines. Educational Psychology, 14, 467–491CrossRefGoogle Scholar
Lowe, R. K. (1995, August). Interactive animated diagrams for learning high level meteorological chart structures. Paper presented at the 6th European Conference for Research on Learning and Instruction, Nijmegen, Netherlands
Lowe, R. K. (1996). Background knowledge and the construction of a situational representation from a diagram. European Journal of Psychology of Education, 11, 377–397CrossRefGoogle Scholar
Lowe, R. K. (1999a). Domain-specific constraints on conceptual change in knowledge acquisition from diagrams. In Schnotz,, W.Vosniadou,, S. & Carretero, M. (Eds.), New perspectives on conceptual change. (pp. 223–245) Amsterdam: ElsevierGoogle Scholar
Lowe, R. K. (1999b). Extracting information from an animation during complex visual learning. European Journal of Psychology of Education, 14, 225–244CrossRefGoogle Scholar
Lowe, R. K. (2001). Understanding information presented by complex animated diagrams. In Rouet, J-F., Levonen, J. J., & Biardeau, A. (Eds.), Multimedia learning: Cognitive and instructional issues (pp. 65–74). London: PergamonGoogle Scholar
Lowe, R. K. (2003). Animation and learning: Selective processing of information in dynamic graphics. Learning and Instruction, 13, 247–262CrossRefGoogle Scholar
Lowe, R. K. (2004). Interrogation of a dynamic visualization during learning. Learning and Instruction, 14, 257–274CrossRefGoogle Scholar
Mayer, R. E., & Anderson, R. B. (1991). Animations need narrations: An experimental test of a dual-coding hypothesis. Journal of Educational Psychology, 83, 484–490CrossRefGoogle Scholar
Mayer, R. E., & Anderson, R. B. (1992). The instructive animation: Helping students build connections between words and pictures in multimedia learning. Journal of Educational Psychology, 84, 444–452CrossRefGoogle Scholar
Mayer, R. E., & Gallini, J. K. (1990). When is an illustration worth ten thousand words?Journal of Educational Psychology, 82, 715–726CrossRefGoogle Scholar
Mayer, R. E., & Moreno, R. (1998). A split-attention effect in multimedia learning: Evidence for dual processing systems in working memory. Journal of Educational Psychology, 90, 312–320CrossRefGoogle Scholar
Moreno, R., & Mayer, R. E. (1999). Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology, 91, 358–368CrossRefGoogle Scholar
Narayanan, N. H., & Hegarty, M. (1998). On designing comprehensible interactive hypermedia manuals. International Journal of Human-Computer Studies 48, 267–301CrossRefGoogle Scholar
Narayanan, N. H., & Hegarty, M. (2002). Multimedia design for communication of dynamic information. International Journal of Human-Computer Studies, 57, 279–315CrossRefGoogle Scholar
Parrish, P. (1999, June). Instructional illustrations for meteorology education and training. Paper presented at the 4th International Conference on Computer-Aided and Distance Learning in Meteorology (CALMet), Helsinki, Finland
Schnotz, W., & Bannert, M. (2003). Construction and interference in learning from multiple representation. Learning and Instruction, 13, 141–156CrossRefGoogle Scholar
Trafton, J. G., Marshall, S., Mintz, F., & Trickett, S. B. (2002). Extracting explicit and implicit information from complex visualizations. In Narayanan, H. (Ed.), Diagramatic representation and inference (pp. 206–220). Berlin: Springer-VerlagGoogle Scholar
Trafton, J. G., Trickett, S. B., & Mintz, F. E. (in press). Connecting internal and external representations: Spatial representations of scientific visualisations. Foundations of science

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×