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Support for self-regulation in learning complex topics from multimedia explanations: do learners need extensive or minimal support?

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Abstract

Acquiring complex conceptual knowledge requires learners to self-regulate their learning by planning, monitoring, and adjusting the process but they find it difficult to do so. In one experiment, we examined whether learners need broad systems of support for self-regulation or whether they are also able to learn with more economical support configurations. Eighty-six undergraduate students with little prior domain knowledge learned plate tectonics from a multimedia presentation involving animation with concurrent narration and support in one of four forms: minimal support, two variants of intermediate support, or extensive support. After the presentation, participants solved retention and transfer tests. The results revealed that participants receiving the broadest system of support outperformed those in the other conditions, which did not differ from one another. This means that it is so difficult for learners to self-regulate learning that they need considerable support if they are to learn complex conceptual knowledge.

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References

  • Ainsworth, S., Bibby, P., & Wood, D. (2002). Examining the effects of different multiple representational systems in learning primary mathematics. Journal of the Learning Sciences, 11, 25–61.

    Article  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 

  • Azevedo, R., & Cromley, J. G. (2004). Does training on self-regulated learning facilitate students’ learning with hypermedia? Journal of Educational Psychology, 96, 523–535.

    Article  Google Scholar 

  • Azevedo, R., Greene, J. A., & Moos, D. C. (2007). The effect of a human agent’s external regulation upon college students’ hypermedia learning. Metacognition and Learning, 2, 67–87.

    Article  Google Scholar 

  • Azevedo, R., Guthrie, J. T., & Seibert, D. (2004). The role of self-regulated learning in fostering students’ conceptual understanding of complex systems with hypermedia. Journal of Educational Computing Research, 30, 87–111.

    Article  Google Scholar 

  • Azevedo, R., Moos, D. C., Greene, J. A., Winters, F. I., & Cromley, J. G. (2008). Why is externally-facilitated regulated learning more effective than self-regulated learning with hypermedia? Educational Technology Research and Development, 56, 45–72.

    Article  Google Scholar 

  • Bannert, M., Hildebrand, M., & Mengelkamp, C. (2009). Effects of a metacognitive support device in learning environments. Computers in Human Behavior, 25, 829–835.

    Article  Google Scholar 

  • Bannert, M., & Mengelkamp, C. (2008). Assessment of metacognitive skills by means of instruction to think aloud and reflect when prompted. Does the verbalisation method affect learning? Metacognition and Learning, 3, 39–58.

    Article  Google Scholar 

  • Bednall, T. C., & Kehoe, E. J. (2011). Effects of self-regulatory instructional aids on self-directed study. Instructional Science, 39, 205–226.

    Article  Google Scholar 

  • Berthold, K., Eysink, T., & Renkl, A. (2009). Assisting self-explanation prompts are more effective than open prompts when learning with multiple representations. Instructional Science, 37, 345–363.

    Article  Google Scholar 

  • Coté, N., Goldman, S. R., & Saul, E. U. (1998). Students making sense of informational text: Relations between processing and representation. Discourse Processes, 25, 1–53.

    Article  Google Scholar 

  • Cromley, J. G., & Azevedo, R. (2009). Locating information within extended hypermedia. Education Technology Research & Development, 57, 287–313.

    Article  Google Scholar 

  • Dunlosky, J., & Lipko, A. (2007). Metacomprehension: A brief history and how to improve its accuracy. Current Directions in Psychological Science, 16, 228–232.

    Article  Google Scholar 

  • Gobert, J. D. (2000). A typology of causal models for plate tectonics. Inferential power and barriers to understanding. International Journal of Science Education, 20, 937–977.

    Article  Google Scholar 

  • Greene, J. A., & Azevedo, R. (2007). Adolescents’ use of self-regulatory processes and their relation to qualitative mental model shifts while using hypermedia. Journal of Educational Computing Research, 36, 125–148.

    Article  Google Scholar 

  • Lazonder, A. W., & Rouet, J. F. (2008). Information problem solving instruction: Some cognitive and metacognitive issues. Computers in Human Behavior, 24, 753–765.

    Article  Google Scholar 

  • Lee, H. W., Lim, K. Y., & Grabowski, B. L. (2010). Improving self-regulation, learning strategy use, and achievement with metacognitive feedback. Education Technology Research & Development, 58, 629–648.

    Article  Google Scholar 

  • Mayer, R. E. (2009). Multimedia learning (2nd ed.). New York: Cambridge University Press.

    Book  Google Scholar 

  • Moos, D. C., & Azevedo, R. (2009). Self-efficacy and prior domain knowledge: To what extent does monitoring mediate their relationship with hypermedia? Metacognition and Learning, 4, 197–216.

    Article  Google Scholar 

  • Moos, D. C., & Marroquin, L. (2010). Multimedia, hypermedia, and hypertext: Motivation considered and reconsidered. Computers in Human Behavior, 26, 265–276.

    Article  Google Scholar 

  • Moreno, R. (2004). Decreasing cognitive load for novice students: Effects of explanatory versus corrective feedback in discovery-based multimedia. Instructional Science, 32, 99–113.

    Article  Google Scholar 

  • Otero, J. (2002). Noticing and fixing difficulties in understanding science texts. In J. Otero, J. A. León, & A. C. Graesser (Eds.), The psychology of science text comprehension (pp. 281–307). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Ozuru, Y., Dempsey, K., & McNamara, D. S. (2009). Prior knowledge, reading skill, and text cohesion in the comprehension of science texts. Learning and Instruction, 19, 228–242.

    Article  Google Scholar 

  • Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38, 1–4.

    Article  Google Scholar 

  • Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451–502). San Diego: Academic Press.

    Chapter  Google Scholar 

  • Pintrich, P., & Zusho, A. (2002). The development of academic self-regulation: The role of cognitive and motivational factors. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 249–284). San Diego: Academic Press.

    Chapter  Google Scholar 

  • Pollock, E., Chandler, P., & Sweller, J. (2002). Assimilating complex information. Learning and Instruction, 12, 61–86.

    Article  Google Scholar 

  • van den Boom, G., Paas, F., & Merriënboer, J. J. G. (2007). Effects of elicited reflections combined with tutor or peer feedback on self-regulated learning and learning outcomes. Learning and Instruction, 17, 532–548.

    Article  Google Scholar 

  • van den Boom, G., Paas, F., Merriënboer, J. J. G., & van Gog, T. (2004). Reflection prompts and tutor feedback in a web-based learning environment: Effects on students’ self-regulated learning competence. Computers in Human Behavior, 20, 551–567.

    Article  Google Scholar 

  • Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 277–304). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Zimmerman, B. J. (2000). Attaining self-regulation. A social cognitive perspective. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). San Diego: Academic Press.

    Chapter  Google Scholar 

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Acknowledgments

This research was supported by funding from Ministerio de Ciencia e Innovación de España (Proyecto EDU2009-13077) awarded to the first and second authors. Any opinions, findings and conclusions or recommendations expressed in this article are those of the authors and not necessarily represent those of the MICINN. We thank John Mark Hawkins Ortiz for revising the use of English.

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Correspondence to Héctor García Rodicio.

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García Rodicio, H., Sánchez, E. & Acuña, S.R. Support for self-regulation in learning complex topics from multimedia explanations: do learners need extensive or minimal support?. Instr Sci 41, 539–553 (2013). https://doi.org/10.1007/s11251-012-9243-4

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  • DOI: https://doi.org/10.1007/s11251-012-9243-4

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