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Learners in a Changing Learning Landscape: Reflections from an Instructional Design Perspective

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Learners in a Changing Learning Landscape

Part of the book series: Lifelong Learning Book Series ((LLLB,volume 12))

Both learners and teachers find themselves in a learning landscape that is rapidly changing, along with fast societal and technological developments. This paper discusses the new learning landscape from an instructional design perspective. First, with regard to what is learned, people more than ever need flexible problem-solving and reasoning skills allowing them to deal with new, unfamiliar problem situations in their professional and everyday life. Second, with regard to the context in which learning takes place, learning in technology-rich, informal and professional 24/7 settings is becoming general practice. And third, with regard to the learners themselves, they can more often be characterized as lifelong learners who are mature, bring relevant prior knowledge, and have very heterogeneous expectations and perceptions of learning. High-quality instructional design research should focus on the question which instructional methods and media-method combinations are effective, efficient and appealing in this new learning landscape. Some innovative instructional methods that meet this requirement are discussed.

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References

  • Anderson, J. (1983). The architecture of cognition. Harvard, MA: Harvard University Press.

    Google ScholarĀ 

  • Chambres, P., Izaute, M., & Marescaux, J. P. (Eds.) (2002). Metacognition: Process, function and use. London: Kluwer.

    Google ScholarĀ 

  • Chase, W., & Simon, H. (1973). Perception in chess. Cognitive Psychology, 4, 55ā€“81.

    ArticleĀ  Google ScholarĀ 

  • Chi, M., Feltovich, P., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121ā€“151.

    ArticleĀ  Google ScholarĀ 

  • Cho, K., & Jonassen, D. (2002). The effects of argumentation scaffolds on argumentation and problem solving. Educational Technology, Research and Development, 50(3), 5ā€“22.

    ArticleĀ  Google ScholarĀ 

  • Clark, R. (1994). Media will never influence learning. Educational Technology, Research and Development, 42(2), 21ā€“29.

    ArticleĀ  Google ScholarĀ 

  • Constantine, L. (2001). The peopleware papers. Notes on the human side of software. Upper Saddle River, NJ: Prentice-Hall.

    Google ScholarĀ 

  • Corbalan, G., Kester, L., & Van MerriĆ«nboer, J. J. G. (2006). Towards a personalized task selection model with shared instructional control. Instructional Science, 34(5), 399ā€“422.

    ArticleĀ  Google ScholarĀ 

  • Davidson, J. (2003). Insights about insightful problem solving. In J. Davidson & R. Sternberg (Eds.), The psychology of problem solving (pp. 149ā€“175). New York: Cambridge University Press.

    Google ScholarĀ 

  • De Bono, E. (1990). Lateral thinking for management. London: Penguin Books.

    Google ScholarĀ 

  • De Ciantis, S., & Kirton, M. (1996). A psychometric reexamination of Kolbā€™s experiential learning cycle construct: A separation of level, style, and process. Educational and Psychological Measurement, 56, 809ā€“820.

    ArticleĀ  Google ScholarĀ 

  • De Groot, A., & Gobet, F. (1996). Perception and memory in chess: Heuristics of the professional eye. Assen: Van Gorcum.

    Google ScholarĀ 

  • De Marco, T., & Lister, T. (1999). Peopleware: Productive projects and teams (2nd ed.). New York: Dorset House Publishing.

    Google ScholarĀ 

  • Ericsson, K. (2003). The acquisition of expert performance as problem solving: Construction and modification of mediating mechanisms through deliberate practice. In J. Davidson & R. Sternberg (Eds.), The psychology of problem solving (pp. 31ā€“83). New York: Cambridge University Press.

    Google ScholarĀ 

  • Ericsson, K. A., & Charness, N. (1994). Expert performance. American Psychologist, 49(8), 725ā€“748.

    ArticleĀ  Google ScholarĀ 

  • Ericsson, K. A., & Kintsch, W. (1995). Long-Term Working Memory. Psychological Review, 102, 211ā€“245.

    ArticleĀ  Google ScholarĀ 

  • European Commission (2000). A memorandum on lifelong learning. Brussels: European Commission.

    Google ScholarĀ 

  • Frensch, P., & Sternberg, R. (1989). Expertise and intelligent thinking: When it is worse to know better? In R. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 5, pp. 157ā€“188). Hillsdale, NJ: Lawrence Erlbaum.

    Google ScholarĀ 

  • Gartner group (2002). Predicts 2003. Knowledge & content management, collaboration & e-learning. Retrieved December, 4, 2002, from www3.gartner.com/1_researchanalysis/.

  • Ge, X., & Land, S. (2004). A Conceptual framework for scaffolding ill-structured problem-solving process using question prompts and peer interaction. Educational Technology, Research and Development, 52(2), 5ā€“22.

    ArticleĀ  Google ScholarĀ 

  • Gick, M., & Holyoak, K. (1983). Schema induction in analogical transfer. Cognitive Psychology, 15, 1ā€“38.

    ArticleĀ  Google ScholarĀ 

  • Hambrick, D., & Engle, R. (2003). The role of working memory in problem solving. In J. Davidson & R. Sternberg (Eds.), The psychology of problem solving (pp. 207ā€“229). New York: Cambridge University Press.

    Google ScholarĀ 

  • Holtzblatt, K., Wendell, J., & Wood, S. (2005). Rapid contextual design. San Francisco: Morgan Kaufmann.

    Google ScholarĀ 

  • Holyoak, K. (1991). Symbolic connectionism: Toward third-generation theories of expertise. In A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise (pp. 301ā€“335). Cambridge, MA: Cambridge University Press.

    Google ScholarĀ 

  • Holyoak, K., & Thagard, P. (1995). Mental leaps. Cambridge, MA: MIT Press.

    Google ScholarĀ 

  • Honey, P., &. Mumford, A. (1992). The manual of learning styles. Maidenhead, Berkshire: Peter Honey.

    Google ScholarĀ 

  • Hong, N., Jonassen, D., & McGee, S. (2003). Predictors of well-structured and ill-structured problem solving in an astronomy simulation. Journal of Research in Science Teaching, 40(1), 6ā€“33.

    ArticleĀ  Google ScholarĀ 

  • Iyengar, S. S., & Lepper, M. R. (2000). When choice is demotivating: Can one desire too much of a good thing? Journal of Personality & Social Psychology, 79, 995ā€“1006.

    ArticleĀ  Google ScholarĀ 

  • Jonassen, D. H. (2004). Learning to solve problems. An Instructional design guide. San Francisco: Pffeifer.

    Google ScholarĀ 

  • Kalyuga, S., & Sweller, J. (2005). Rapid dynamic assessment of expertise to optimize the efficiency of e-learning. Educational Technology, Research and Development, 53(3).

    Google ScholarĀ 

  • Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003) The expertise reversal effect. Educational Psychologist, 38(1), 23ā€“31.

    ArticleĀ  Google ScholarĀ 

  • Kalyuga, S., Chandler, P., & Sweller, J. (1998). Levels of expertise and instructional design. Human Factors, 40, 1ā€“17.

    ArticleĀ  Google ScholarĀ 

  • Kalyuga, S., Chandler, P., & Sweller, J. (2000). Incorporating learner experience into the design of multimedia instruction. Journal of Educational Psychology, 92, 126ā€“136.

    ArticleĀ  Google ScholarĀ 

  • Kalyuga, S., Chandler, P., Tuovinen, J., & Sweller, J. (2001). When problem solving is superior to studying worked examples. Journal of Educational Psychology, 93, 579ā€“588.

    ArticleĀ  Google ScholarĀ 

  • Keane, M. (1997). What makes an analogy difficult? The effect of order and causal structure in analogical mapping. Journal of Experimental Psychology: Language, Memory & Cognition, 23, 946ā€“967.

    ArticleĀ  Google ScholarĀ 

  • Kicken, W., Brand-Gruwel, S., & Van MerriĆ«nboer, J. J. G. (2005, Mayā€“June). Advisering bij het kiezen van leertaken: Veilig op weg naar vraaggestuurd onderwijs [Advice on the selection of learning tasks: A safe approach to on-demand education]. Paper presented at the OnderwijsResearchDagen (ORD), May 30ā€“June 1, Gent, Belgium.

    Google ScholarĀ 

  • Kirschner, P. A. (2002). Cognitive load theory: Implications of cognitive load theory for the design of learning. Learning and Instruction, 4, 251ā€“262.

    Google ScholarĀ 

  • Kirton, M. (2003). Adaption ā€“ Innovation in the context of diversity and change. London: Routledge.

    Google ScholarĀ 

  • Kƶnings, K. D., Brand-Gruwel, S., & Van MerriĆ«nboer, J. J. G. (2005). Towards more powerful learning environments through combining the perspectives of designers, teachers and students. British Journal of Educational Psychology, 75, 645ā€“660.

    ArticleĀ  Google ScholarĀ 

  • Kozma, R. (1994). Will media influence learning? Reframing the debate. Educational Technology, Research and Development, 42(2), 7ā€“19.

    ArticleĀ  Google ScholarĀ 

  • Kuniavsky, M. (2003). Observing the user experience. A practitionerā€™s guide to user research. San Francisco: Morgan Kaufmann.

    Google ScholarĀ 

  • Lubart, T., & Mouchiroud, C. (2003). Creativity: A source of difficulty in problem solving. In J. Davidson & R. Sternberg (Eds.), The psychology of problem solving (pp. 127ā€“148). New York: Cambridge University Press.

    Google ScholarĀ 

  • Maslow, A. H. (1970). Motivation and personality (2nd ed.). New York: Harper & Row.

    Google ScholarĀ 

  • McNamara, D., Kintsch, E., Songer, N. B., & Kintsch, W. (1996). Are good texts always better? Interactions of text coherence, background knowledge, and levels of understanding in learning from text. Cognition and Instruction, 14, 1ā€“43.

    ArticleĀ  Google ScholarĀ 

  • Merrill, M. D. (2002). First principles of instruction. Educational Technology, Research and Development, 50(3), 43ā€“59.

    ArticleĀ  Google ScholarĀ 

  • Metcalfe, J., & Shimamura, A. (Eds.) (1996). Metacognition: Knowing about knowing. Boston: MIT Press.

    Google ScholarĀ 

  • Mirel, B. (2004). Interaction design for complex problem solving: Developing useful and usable software. San Francisco: Morgan Kaufmann.

    Google ScholarĀ 

  • Paas, F., Renkl, A., & Sweller, J. (2004). Cognitive load theory: Instructional implications of the interaction between information structures and cognitive architecture. Instructional Science, 32, 1ā€“8.

    ArticleĀ  Google ScholarĀ 

  • Paris, S., & Winograd, P. (1990). How metacognition can promote academic learning and instruction. In B. Jones & L. Idol (Eds.), Dimensions of thinking and cognitive instruction (pp. 15ā€“51). Hillsdale, NJ: Lawrence Erlbaum.

    Google ScholarĀ 

  • Pretz, E., Naples, A., & Sternberg, R. (2003). Recognizing, defining, and representing problems. In J. Davidson & R. Sternberg (Eds.), The psychology of problem solving (pp. 3ā€“30). New York: Cambridge University Press.

    Google ScholarĀ 

  • Quillian, M. (1988). Semantic memory. In A. Collins & E. Smith (Eds.), Readings in cognitive science: A Perspective from psychology and artificial intelligence (pp. 80ā€“101). San Mateo, CA: Morgan Kaufman.

    Google ScholarĀ 

  • Reuben-Lorenz, P. (2002). New visions of the aging mind and brain. Trends in Cognitive Science, 6(9), 394ā€“400.

    ArticleĀ  Google ScholarĀ 

  • Robertson, S. (2001). Problem solving. Sussex: Psychology Press.

    Google ScholarĀ 

  • Russell, T. (2001). The no significant difference phenomenon: A comparative research annotated bibliography on technology for distance education (5th ed.). Montgomery, AL: IDECC.

    Google ScholarĀ 

  • Salden, R. J. C. M., Paas, F., & Van MerriĆ«nboer, J. J. G. (2006). A comparison of approaches to learning task selection in the training of complex cognitive skills. Computers in Human Behavior, 22, 321ā€“333.

    ArticleĀ  Google ScholarĀ 

  • Schellekens, A., Paas, F., & Van MerriĆ«nboer, J. J. G. (2003). Flexibility in higher professional education: A survey in business administration programmes in the Netherlands. Higher Education, 45(3), 281ā€“305.

    ArticleĀ  Google ScholarĀ 

  • Schƶn, D. (1996). The reflective practitioner: How professionals think in action. London: Arena.

    Google ScholarĀ 

  • Schwartz, B. (2004). The paradox of choice: Why more is less. New York: HarperCollins.

    Google ScholarĀ 

  • Spector, J. M. (in this volume). What makes good online instruction good? New opportunities and old barriers. In J. Visser & M. Visser-Valfrey (Eds.), Learners in a changing learning landscape: Reflections from a dialogue on new roles and expectations (pp. 251ā€“266). Dordrecht, The Netherlands: Springer.

    Google ScholarĀ 

  • Spitzer, D. (2002). Donā€™t forget the high-touch with the high-tech in distance learning. In A. Rossett (Ed.), The ASTD e-learning handbook. Best practices, strategies, and case studies for an emerging field (pp. 165ā€“174). New York: McGraw-Hill.

    Google ScholarĀ 

  • Stoyanov, S., & Kirschner, P. A. (2004). Expert concept mapping method for defining the characteristics of adaptive e-learning: ALFANET project case. Educational Technology, Research and Development, 52(2), 41ā€“56.

    ArticleĀ  Google ScholarĀ 

  • Stoyanov, S., & Kirschner, P. A. (2007). Effect of problem solving support and cognitive styles on idea generation: Implications for technology-enhanced learning. Journal of Research on Technology in Education, 40(1), 77ā€“85.

    Google ScholarĀ 

  • Sweller, J., Van MerriĆ«nboer, J. J. G., & Paas, F. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251ā€“296.

    ArticleĀ  Google ScholarĀ 

  • Tuovinen, J., & Sweller, J. (1999). A comparison of cognitive load associated with discovery learning and worked examples. Journal of Educational Psychology, 91, 334ā€“341.

    ArticleĀ  Google ScholarĀ 

  • Van Gerven, P. W. M., Paas, F., Van MerriĆ«nboer, J. J. G., Hendriks, M., & Schmidt, H. G. (2003). The efficiency of multimedia learning into old age. British Journal of Educational Psychology, 73, 489ā€“505.

    ArticleĀ  Google ScholarĀ 

  • Van Gerven, P. W. M., Paas, F., Van MerriĆ«nboer, J. J. G., & Schmidt, H. G. (2000). Cognitive load theory and the acquisition of complex cognitive skills in the elderly: Towards an integrative framework. Educational Gerontology, 26, 503ā€“521.

    ArticleĀ  Google ScholarĀ 

  • Van Gerven, P. W. M., Paas, F., Van MerriĆ«nboer, J. J. G., & Schmidt, H. G. (2002). Cognitive load theory and aging: Effects of worked examples on training efficiency. Learning and Instruction, 12, 87ā€“105.

    ArticleĀ  Google ScholarĀ 

  • Van MerriĆ«nboer, J. J. G. (1997). Training complex cognitive skills. Englewood Cliffs, NJ: Educational Technology Publications.

    Google ScholarĀ 

  • Van MerriĆ«nboer, J. J. G., & Kirschner, P. A. (2007). Ten steps to complex learning. Mahwah, NJ: Lawrence Erlbaum.

    Google ScholarĀ 

  • Van MerriĆ«nboer, J. J. G., & Luursema, J. J. (1996). Implementing instructional models in computer-based learning environments: A case study in problem selection. In T. T. Liao (Ed.), Advanced educational technology: Research issues and future potential (pp. 184ā€“206). Berlin: Springer.

    Google ScholarĀ 

  • Van MerriĆ«nboer, J. J. G., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17, 147ā€“177.

    ArticleĀ  Google ScholarĀ 

  • Van MerriĆ«nboer, J. J. G., Clark, R. E., & de Croock, M. B. M. (2002). Blueprints for complex learning: The 4C/ID-model. Educational Technology, Research and Development, 50(2), 39ā€“64.

    ArticleĀ  Google ScholarĀ 

  • Van MerriĆ«nboer, J. J. G., Kirschner, P. A., & Kester, L. (2003). Taking the load of a learnersā€™ mind: Instructional design for complex learning. Educational Psychologist, 38(1), 5ā€“13.

    ArticleĀ  Google ScholarĀ 

  • Visser, J. (in this volume). Constructive interaction with change: Implications for learners and the environment in which they learn. In J. Visser & M. Visser-Valfrey (Eds.), Learners in a changing learning landscape: Reflections from a dialogue on new roles and expectations (pp. 11ā€“35). Dordrecht, The Netherlands: Springer.

    Google ScholarĀ 

  • Von Wodtke, M. (1993). Mind over media. New York: McGraw-Hill.

    Google ScholarĀ 

  • WCET (2006). Non significant difference phenomenon. Retrieved February 20, 2006 from www.nosignificantdifference.org/.

  • Weisberg, R., & Alba, J. (1981). An examination of the alleged role of ā€œfixationā€ in the solution of ā€œinsightā€ problems. Journal of Experimental Psychology: General, 110, 169ā€“192.

    ArticleĀ  Google ScholarĀ 

  • Wenger, E. (1998). Communities of practice. Cambridge: Cambridge University Press.

    Google ScholarĀ 

  • Wenke, D., & Frensch, P. (2003). Is success or failure at solving complex problems related to intellectual ability? In J. Davidson & R. Sternberg (Eds.), The psychology of problem solving (pp. 87ā€“126). New York: Cambridge University Press.

    Google ScholarĀ 

  • Yeung, A., Jin, P., & Sweller, J. (1998). Cognitive load and learner expertise: Split-attention and redundancy effects in reading with explanatory notes. Contemporary Educational Psychology, 23, 1ā€“21.

    ArticleĀ  Google ScholarĀ 

  • Zimmerman, B., & Campillo, M. (2003). Motivating self-regulated problem solvers. In J. Davidson & R. Sternberg (Eds.), The psychology of problem solving (pp. 233ā€“262). New York: Cambridge University Press.

    Google ScholarĀ 

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van MerriƤnboer, J.J.G., Stoyanov, S. (2008). Learners in a Changing Learning Landscape: Reflections from an Instructional Design Perspective. In: Visser, J., Visser-Valfrey, M. (eds) Learners in a Changing Learning Landscape. Lifelong Learning Book Series, vol 12. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8299-3_4

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