Skip to main content
Log in

Information comparisons in example-based hypermedia environments: supporting learners with processing prompts and an interactive comparison tool

  • Research Article
  • Published:
Educational Technology Research and Development Aims and scope Submit manuscript

Abstract

Global comparisons of learning from hypertext/hypermedia and traditional presentation formats like text have yet failed to show major advantages concerning the effectiveness of hypermedia learning. Thus, it is proposed in the current paper to evaluate hypermedia environments more specifically with regard to their potential to implement and support well-defined learning approaches. According to this view, an effective hypermedia design needs to be based on thorough cognitive task analyses with regard to structures, processes, and resources that are required to benefit from a specific learning approach. This claim is illustrated by two experiments in which we explored the instructional potential of hypermedia environments for improving schema acquisition from worked-out examples. A cognitive task analysis was used to identify specific types of information comparisons that are crucial for successful schema induction and that might be effectively supported by suitably designed hypermedia environments. The experiments investigated two methods for enhancing comparison processes in hypermedia-assisted learning from worked-out examples, namely, elaboration prompts and an interactive comparison tool. Both methods improved performance for near-transfer problems. Ways of extending this task-analytical approach to facilitating far transfer are also discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Atkinson, R. K., Derry, S. J., Renkl, A., & Wortham, D. W. (2000). Learning from examples: Instructional principles from the worked examples research. Review of Educational Research, 70, 181–214.

    Google Scholar 

  • Azevedo, R. (2005). Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educational Psychologist, 40, 199–209.

    Article  Google Scholar 

  • Beasley, R. E., & Waugh, M. L. (1996). The effects of content-structure focusing on learner structural knowledge acquisition, retention, and disorientation in a hypermedia environment. Journal of Research on Computing in Education, 28, 271–281.

    Google Scholar 

  • Bernardo, A. B. I. (1994). Problem-specific information and the development of problem-type schemata. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 379–395.

    Article  Google Scholar 

  • Catrambone, R. (1998). The subgoal learning model: Creating better examples to improve transfer to novel problems. Journal of Experimental Psychology: General, 127, 355–376.

    Article  Google Scholar 

  • Chen, C., & Rada, R. (1996). Interacting with hypertext: A meta-analysis of experimental studies. Human-Computer Interaction, 11, 125–156.

    Article  Google Scholar 

  • Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145–182.

    Article  Google Scholar 

  • Conati, C., & VanLehn, K. (2000). Toward computer-based support of meta-cognitive skills: A computational framework to coach self-explanation. International Journal of Artificial Intelligence in Education, 11, 389–415.

    Google Scholar 

  • Conklin, J. (1987). Hypertext: An introduction and survey. Computer, 20, 17–41.

    Article  Google Scholar 

  • Cooper, G., & Sweller, J. (1987). Effects of schema acquisition and rule automation on mathematical problem-solving transfer. Journal of Educational Psychology, 79, 347–362.

    Article  Google Scholar 

  • Cummins, D. D. (1992). Role of analogical reasoning in the induction of problem categories. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 1103–1124.

    Article  Google Scholar 

  • Cunningham, D. J., Duffy, T. M., & Knuth, R. A. (1993). The textbook of the future. In C. McKnight, A. Dillon, & J. Richardson (Eds.), Hypertext: A psychological perspective (pp. 19–49). New York: Ellis Horwood.

    Google Scholar 

  • Derry, S. J. (1989). Strategy and expertise in solving word problems. In C. B. McCormick, G. Miller, & M. Pressley (Eds.), Cognitive strategy research: From basic research to educational applications (pp. 269–302). New York: Springer.

    Google Scholar 

  • Dias, P., Gomes, M. J., & Correia, A. P. (1999). Disorientation in hypermedia environments: Mechanisms to support navigation. Journal of Educational Computing Research, 20, 93–117.

    Article  Google Scholar 

  • Dillon, A. (1996). Myths, misconceptions, and an alternative perspective on information usage and the electronic medium. In J.-F. Rouet, J. J. Levonen, A. Dillon, & R. J. Spiro (Eds.), Hypertext and cognition (pp. 25–42). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Dillon, A., & Gabbard, R. (1998). Hypermedia as an educational technology: A review of the quantitative research literature on learner comprehension, control, and style. Review of Educational Research, 68, 322–349.

    Article  Google Scholar 

  • Edwards, D., & Hardman, L. (1989). ‘Lost in hyperspace’: Cognitive mapping, navigation in a hypertext environment. In R. McAleese (Ed.), Hypertext: Theory into practice (pp. 105–125). Oxford: Intellect Books.

    Google Scholar 

  • Gerjets, P. H., & Hesse, F. W. (2004). When are powerful learning environments effective? The role of learning activities and of students” conceptions of educational technology. International Journal of Educational Research, 41, 445–465.

    Article  Google Scholar 

  • Gerjets, P., Scheiter, K., & Tack, W. H. (2000). Resource-adaptive selection of strategies in learning from worked-out examples. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the 22nd Annual Conference from the Cognitive Science Society (pp. 166–171). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Gick, M. L., & Holyoak, K. J. (1983). Schema induction and analogical transfer. Cognitive Psychology, 15, 1–38.

    Article  Google Scholar 

  • Jacobson, M. J. (1994). Issues in hypertext and hypermedia research: Toward a framework for linking theory-to-design. Journal of Educational Multimedia and Hypermedia, 3, 141–154.

    Google Scholar 

  • Jacobson, M. J., & Archodidou, A. (2000). The design of hypermedia tools for learning: Fostering conceptual change and transfer of complex scientific knowledge. The Journal of the Learning Sciences, 9, 149–199.

    Article  Google Scholar 

  • Jacobson, M. J., Maouri, C., Mishra, P., & Kolar, C. (1996). Learning with hypertext learning environments: Theory, design, and research. Journal of Educational Multimedia and Hypermedia, 5, 239–281.

    Google Scholar 

  • Jacobson, M. J., & Spiro, R. J. (1995). Hypertext learning environments, cognitive flexibility, and the transfer of complex knowledge: An empirical investigation. Journal of Educational Computing Research, 12, 301–333.

    Article  Google Scholar 

  • Kintsch, W. (1988). The use of knowledge in discourse processing: A construction integration model. Psychological Review, 95, 163–182.

    Article  Google Scholar 

  • Landow, G. (1992). Hypertext: The convergence of contemporary critical theory and technology. Baltimore, MD: Johns Hopkins University Press.

    Google Scholar 

  • Lawless, K., & Brown, S. (1997). Multimedia learning environments: Issues of learner control and navigation. Instructional Science, 25, 117–131.

    Article  Google Scholar 

  • Mayes, T., Kibby, M., & Anderson, T. (1990). Learning about learning from hypertext. In D. H. Jonassen & H. Mandl (Eds.), Designing hypermedia for learning (pp. 227–250). Berlin: Springer.

    Google Scholar 

  • McGuire, E. G. (1996). Knowledge representation and construction in hypermedia and environments. Telematics and Informatics, 14, 251–260.

    Article  Google 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, 237–255.

    Article  Google Scholar 

  • Pirolli, P., & Recker, M. (1994). Learning and transfer in the domain of programming. Cognition and Instruction, 12, 235–275.

    Article  Google Scholar 

  • Quilici, J. L., & Mayer, R. E. (1996). Role of examples in how students learn to categorize statistics word problems. Journal of Educational Psychology, 88, 144–161.

    Article  Google Scholar 

  • Reed, S. K. (1999). Word problems: Research and curriculum reform. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Reed, S. K. (2005). From research to practice and back: The Animation Tutor project. Educational Psychology Review, 17, 55–82.

    Article  Google Scholar 

  • Reed, S. K., & Bolstad, C. A. (1991). Use of examples and procedures in problem solving. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 753–766.

    Article  Google Scholar 

  • Renkl, A. (1997). Learning from worked-out examples: A study on individual differences. Cognitive Science, 21, 1–29.

    Article  Google Scholar 

  • Ross, B. H. (1989). Distinguishing types of superficial similarities: Different effects on the access and use of earlier problems. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 456–468.

    Article  Google Scholar 

  • Rouet, J.-F., & Levonen, J. J. (1996). Studying and learning with hypertext: Empirical studies and their implications. In J.-F. Rouet, J. Levonen, A. Dillon, & R. Spiro (Eds.), Hypertext and cognition (pp. 9–25). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Rouet, J.-F., Levonen, J. J., Dillon, A., & Spiro, R. J. (Eds.) (1996). Hypertext and cognition. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Scheiter, K. & Gerjets, P. (2005). When less is sometimes more: Optimal learning conditions are required for schema acquisition from multiple examples. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 1943–1948). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Scheiter, K. & Gerjets, P. (in press). Learner control in hypermedia environments. Educational Psychology Review.

  • Scheiter, K., Gerjets, P., & Catrambone, R. (2006a). Making the abstract concrete: Visualizing mathematical solution procedures. Computers in Human Behavior, 22, 9–26.

    Article  Google Scholar 

  • Scheiter, K, Gerjets, P. & Schuh, J. (2004). The impact of example comparisons on schema acquisition: Do learners really need multiple examples? In Y. B. Kafai, W. A. Sandoval, N. Enyedy, A. S. Nixon, & F. Herrera (Eds.), Proceedings of the 6th International Conference of the Learning Sciences (pp. 457–464). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Scheiter, K., Gerjets, P., Schuh, J., & Catrambone, R. (2006b). The acquisition of problem-solving skills in Mathematics: How animations can aid understanding for structural problem features and solution procedures. Manuscript submitted for publication.

  • Scheiter, K., Gerjets, P., Vollmann, B., & Catrambone, R. (2006c). A methodological alternative to media comparison studies: Linking information utilization strategies and instructional approach in hypermedia learning. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2117–2122). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Schuh, J., Gerjets, P., & Scheiter, K. (2005). Fostering the acquisition of transferable problem-solving knowledge with an interactive comparison tool and dynamic visualizations of solution procedures. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 1973–1978). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Shapiro, A., & Niederhauser, D. (2004). Learning from hypertext: Research issues and findings. In D. H. Jonassen (Ed.), Handbook of research on educational communications and technology (pp. 605–620). Mahwah, NJ: Erlbaum.

    Google 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 D. Nix & R. J. Spiro (Eds.), Cognition, education, and multimedia (pp. 163–205). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Sweller, J., van Merriënboer, J. J. G., & Paas, F. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296.

    Article  Google Scholar 

  • Tergan, S. O. (1997). Conceptual and methodological shortcomings in hypertext/hypermedia design and research. Journal of Educational Computing Research, 16, 209–235.

    Article  Google Scholar 

  • VanLehn, K. (1989). Problem solving and cognitive skill acquisition. In M. I. Posner (Ed.), Foundations of cognitive science (pp. 527–579). Cambridge, MA: MIT Press.

    Google Scholar 

Download references

Acknowledgement

The work reported in this paper was supported by the Deutsche Forschungsgemeinschaft (DFG).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Gerjets.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gerjets, P., Scheiter, K. & Schuh, J. Information comparisons in example-based hypermedia environments: supporting learners with processing prompts and an interactive comparison tool. Education Tech Research Dev 56, 73–92 (2008). https://doi.org/10.1007/s11423-007-9068-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11423-007-9068-z

Keywords

Navigation