Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-26T15:10:36.490Z Has data issue: false hasContentIssue false

20 - The Site Map Principle in Multimedia Learning

Published online by Cambridge University Press:  05 June 2012

Amy M. Shapiro
Affiliation:
University of Massachusetts, Dartmouth
Richard Mayer
Affiliation:
University of California, Santa Barbara
Get access

Summary

Abstract

Site maps provide learners with a bird's eye view of a hypertext's content. The site map principle proposes that learners can benefit from appropriately structured site maps. Site maps can reduce cognitive load and orient learners in a hypertext. While their ability to augment learning for advanced learners in a domain has not been demonstrated (perhaps due to lack of study), there is evidence that they can be effective learning tools for domain newcomers. Laboratory work has also shown that other user variables such as learning goals mediate the process of learning with site maps. How these variables interact with each other or with specific map traits to affect learning is a question requiring further research. Nonetheless, it is recommended that developers and researchers consider characteristics of the intended users when designing site maps for educational hypertext.

What Is the Site Map Principle?

Site maps offer a bird's eye view of a hypermedia site, allowing users to get a sense of the site's content and structure. They can appear in different forms and levels of detail. In its simplest form, a site map may appear as a traditional table of contents that provides a “manifest” of a site's topics. A site map may be much more detailed, however, as it may provide a graphical representation of the site's documents and even the network of links connecting them. In this way, a site map may appear as a graphical web.

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

Ausubel, D. P. (1968). Educational psychology: A cognitive view.New York: Holt, Rinehart and WinstonGoogle Scholar
Ausubel, D. P. (1969). A cognitive theory of school learning. Psychology in the Schools, 6(4), 331–3353.0.CO;2-W>CrossRefGoogle Scholar
Ausubel, D. P. (1977). The facilitation of meaningful verbal learning in the classroom. Educational Psychologist, 12(2), 162–178CrossRefGoogle Scholar
Azevedo, R, Guthrie, J., Wang, H-Y., & Mulhern, J. (2001, April). Do different instructional interventions facilitate students' ability to shift to more sophisticated mental models of complex systems? Paper presented at the annual meeting of the American Educational Research Association, Seattle, WA
Azevedo, R, Seibert, D, Guthrie, J., Cromley, J., Wang, H.-Y., & Tron, M. (2002, April). How do students regulate their learning of complex systems with hypermedia? Paper presented at the annual meeting of the American Educational Research Association, New Orleans, LA
Balajthy, E. (1990). Hypertext, hypermedia, and metacognition: Research and instructional implications for disabled readers. Journal of Reading, Writing, and Learning Disabilities International, 6(2), 183–202CrossRefGoogle Scholar
Brown, A. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In Weinert, F. E. and Kluwe, R. H. (Eds.), Metacognition, motivation, and understanding (pp. 60–108). Hillsdale, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
Chen, C., & Rada, R. (1996). Interacting with hypertext: A meta-analysis of experimental studies. Human-Computer Interaction, 11, 125–156CrossRefGoogle Scholar
Clark, R. C., & Mayer, R. E. (2003). E-Learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning.San Francisco: Jossey-Bass/PfeifferGoogle Scholar
Dee-Lucas, D., & Larkin, J. H. (1995). Learning from electronic texts: Effects of interactive overviews for information access. Cognition and Instruction, 13(3) 431–468CrossRefGoogle Scholar
Glover, J., & Krug, D. (1988). Detecting false statements in text: The role of outlines and inserted headings. British Journal of Educational Psychology, 58(3), 301–306CrossRefGoogle Scholar
Hammond, N., & Allinson, L. (1989). Extending hypertext for learning: An investigation of access and guidance tools. In Bice, K. & Lewis, C. H. (Eds.), Proceedings of the ACM CHl 80 Human Factors in Computing Systems Conference. New York: ACM PressGoogle Scholar
Kauffman, D. (2002, April). Self-regulated learning in web-based environments: Instructional tools designed to facilitate cognitive strategy use, metacognitive processing, and motivational beliefs. Paper presented at the annual meeting of the American Educational Research Association, New Orleans, LA
Kintsch, W. (1988). The use of knowledge in discourse processing: A construction integration model. Psychological Review, 95, 163–182CrossRefGoogle Scholar
Kraiger, K., Salas, E., & Cannon-Bowers, J. (1995). Measuring knowledge organization as a method for assessing learning during training. Human Factors, 37(4), 804–816CrossRefGoogle Scholar
Leidig, P. (1992). The relationship between cognitive styles and mental maps in hypertext-assisted learning. Dissertation abstracts International, Vol. 53(5-A), p. 1372
Leonard, J. M., & Whitten, W. B. (1983). Information stored when expecting recall or recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 9, 440–455Google Scholar
Mayer, R. E. (1979). Twenty years of research on advance organizers: Assimilation theory is still the best predictor of results. Instructional Science, 8, 133–167CrossRefGoogle Scholar
Mannes, B., & Kintsch, W. (1987). Knowledge organization and text organization. Cognition and Instruction, 4, 91–115CrossRefGoogle Scholar
Monk, A., Walsh, P., & Dix, A. (1988). A comparison of hypertext, scrolling, and folding as mechanisms for program browsing. In Jones, D. M. & Winder, R. (Eds.), People and computers IV, pp. 421–435. Cambridge, UK: Cambridge University PressGoogle Scholar
Niederhauser, D. S., Reynolds, R. E., Salmen, D. J., & Skolmoski, P. (2000). The influence of cognitive load on learning from hypertext. Journal of Educational Computing Research, 23(3), 237–255CrossRefGoogle Scholar
Nosek, J., & Roth., I. (1990). A comparison of formal knowledge representation schemes as communication tools: Predicate logic vs. semantic network. International Journal of Man-Machine Studies, 33, 227–239CrossRefGoogle Scholar
Potelle, H., & Rouet, J.-F. (2003). Effects of content representation and readers' prior knowledge on the comprehension of hypertext. International Journal of Human-Computer Studies, 58, 327–345CrossRefGoogle Scholar
Shapiro, A. M. (1998). The relationship between prior knowledge and interactive organizers during hypermedia-aided learning. Journal of Educational Computing Research, 20(2), 143–163CrossRefGoogle Scholar
Shapiro, A. M. (2000). The effect of interactive overviews on the development of conceptual structure in novices learning from electronic texts. Journal of Educational Multimedia and Hypermedia, 9(1), pp. 57–78Google Scholar
Simpson, A. (1990). The interface to a hypertext journal. In Diaper, D., Gilmore, D., Cockton, G., & Shackel, B. (Eds.), Human-Computer Interaction-INTERACT'90 (pp. 869–874). Amsterdam: North-HollandGoogle Scholar
Simpson, A., & McKnight, C. (1990). Navigation in hypertext: Structural cues and mental maps. In McAleese, R. and Green, C. (Eds.), Hypertext: state of the art. Oxford, England: IntellectGoogle Scholar
Snapp, J., & Glover, J. (1990). Advance organizers and study questions. Journal of Educational Research, 83(5), 266–271CrossRefGoogle Scholar
Spiro, R, Coulson, R., Feltovitch, P., & Anderson, D. (1988). Cognitive flexibility theory: Advanced knowledge acquisition in ill-structured domains. In Proceedings of the Tenth Annual Conference of the Cognitive Science Society (pp. 375–383). Hillsdale, NJ: Lawrence Erlbaum Associates
Spiro, R., Feltovitch, P., Jacobson, M., & Coulson, R. (1992). Cognitive flexibility, constructivism, and hypertext: Random access instruction for advanced knowledge acquisition in ill-structured domains. In Duffy, T. & Jonassen, D. (Eds.), Constructivism and the technology of instruction: A conversation (pp. 57–75). Hillsdale, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
Spiro, R. J., & Jehng, J. C. (1990). Cognitive flexibility and hypertext: Theory and technology for the nonlinear and multidimensional traversal of complex subject matter. In Nix, D. & Spiro, R. (Eds.), Cognition, education, and multimedia: Exploring ideas in high technology (pp. 163–205). Hillsdale, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
Spiro, R., Vispoel, W., Schmitz, J., Samarapungavan, A., & Boerger, A. (1987). Knowledge acquisition for application: Cognitive flexibility and transfer in complex content domains. In Britton, B. & Glynn, S. (Eds.), Executive control processes in reading (pp. 177–199). Hillsdale, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
Tergan, S. (1997). Conceptual and methodological shortcomings in hypertext/hypermedia design and research. Journal of Educational Computing Research, 16(3), 209–235CrossRefGoogle Scholar
Townsend, M., & Clarihew, A. (1989). Facilitating children's comprehension through the use of advance organizers. Journal of Reading Behavior, 21(1) 15–35CrossRefGoogle Scholar
Vicente, K. J., & Williges, R. C. (1988). Accommodating individual differences in searching a hierarchical file system. International Journal of Man-Machine Studies, 29, 647–668CrossRefGoogle Scholar
Wenger, M. J., & Payne, D. G. (1994). Effects of a graphical browser on readers' efficiency in reading hypertext. Technical Communication: Journal of the Society for Technical Communication, 41, pp. 224–233Google Scholar
Wey, P. S. (1992). The effects of different interface presentation modes and users' individual differences on users' hypertext information access performance. Unpublished doctoral dissertation, University of Illinois at Urbana Champagne (University Microfilms No. 93–05730)

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
×