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Facilitating Students’ Learning Through Problem-Solving in a Computer-Based Expert-Supported Learning Environment

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Technology in Education: Pedagogical Innovations (ICTE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1048))

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Abstract

Problem-based learning (PBL) has been widely adopted to help students to develop critical thinking, communication, and problem-solving skills as well as improve the construction of knowledge. However, empirical studies indicate that PBL students hardly develop structured knowledge and efficient reasoning strategies because they are not provided with adaptive guidance and support during problem-solving process. To deal with this challenge, a computer-based expert-supported learning environment is designed and developed to facilitate students’ learning in a problem-solving context. Experiment results reveal superior performance on problem-solving and knowledge-construction tasks in students learning under the designed environment. Findings of the study provide important implications to instructional designers and educational practitioners on how to facilitate students’ problem-solving learning through the design of a computer-based expert-supported environment.

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References

  • Anderson, J.R.: Problem solving and learning. Am. Psychol. 48(1), 35–57 (1993)

    Article  Google Scholar 

  • Albanese, M.A., Mitchell, S.: Problem-based learning: a review of literature on its out-comes and implementation issues. Acad. Med. J. Assoc. Am. Med. Coll. 68(1), 52–81 (1993)

    Article  Google Scholar 

  • Alexander, P.A.: Can we get there from here? Educ. Res. 32(8), 3–4 (2003)

    Article  Google Scholar 

  • Alessi, S.: Building versus using simulations. In: Spector, J.M., Anderson, T.M. (eds.) Integrated and Holistic Perspectives on Learning, Instruction and Technology: Understanding complexity, pp. 175–196. Kluwer Academic Publishers, Dordrecht (2000)

    Google Scholar 

  • Barrows, H.S.: Problem-based learning in medicine and beyond: a brief overview. New Dir. Teach. Learn. 1996(68), 3–12 (1996)

    Article  Google Scholar 

  • Brown, J.C., Collins, A., Newman, D.: Situated cognition and the culture of learning. Educ. Res. 18(1), 32–42 (1989)

    Article  Google Scholar 

  • Bransford, J.D., Franks, J.J., Vye, N.J., Sherwood, R.D.: New approaches to instruction: because wisdom can’t be told. In: Vosniadou, S., Ortony, A. (eds.) Similarity and Analogical Reasoning, pp. 470–497. Cambridge University Press, NY (1989)

    Chapter  Google Scholar 

  • Collins, A.: Cognitive apprenticeship: marking thinking visible. Am. Educ. 15(3), 38–39 (1991)

    Google Scholar 

  • Collins, A., Brown, J.S., Newman, D.: Cognitive Apprenticeship: Teaching the Craft of Reading, Writing, and Mathematics. In: Resnick, L.B. (ed.) Knowing, Learning, and Instruction, pp. 453–494. Lawrence Erlbaum Associates Inc., Hillsdale (1989)

    Google Scholar 

  • Gravemeijer, K.: How emergent models may foster the constitution of formal mathematics. Math. Thinking Learn. 1(2), 155–177 (1999)

    Article  Google Scholar 

  • Clancey, W.J.: Representations of knowing: In defense of cognitive apprenticeship. J. Artif. Intell. Educ. 3(2), 139–168 (1992)

    Google Scholar 

  • Doerr, H.M.: Integrating the study of trigonometry, vectors, and force through modeling. Sch. Sci. Math. 96(8), 407–418 (1996)

    Article  Google Scholar 

  • De Jong, T., Martin, E., Zamarro, J.M., Esquembre, F., Swaak, J., van Joolingen, W.R.: The integration of computer simulation and learning support: an example from the physics domain of collisions. J. Res. Sci. Teach. 36(5), 597–615 (1999)

    Article  Google Scholar 

  • Feltovich, P.J., Spiro, R.J., Coulson, R.L.: Learning, teaching, and testing for complex conceptual understanding. In: Frederksen, N., Mislevey, R.J., Bejar, I.I. (eds.) Test Theory for a New Generation of Tests, pp. 181–127. Lawrence Erlbaum, Hillsdale (1993)

    Google Scholar 

  • Greca, I.M., Moreira, M.A.: Mental models, conceptual models, and modeling. Int. J. Sci. 22(1), 1–11 (2000)

    Google Scholar 

  • Grosslight, L., Unger, C., Jay, E., Smith, C.L.: Understanding models and their use in science: conceptions of middle and high school students and experts. J. Res. Sci. Teach. 28(9), 799–822 (1991)

    Article  Google Scholar 

  • Kinchin, I.M., Cabot, L.B., Hay, D.B.: Visualising expertise: towards an authentic pedagogy for higher education. Teach. High. Educ. 13(3), 315–326 (2008)

    Article  Google Scholar 

  • Kirschner, P.A., Sweller, J., Clark, R.E.: Why minimal guidance during instruction does not work: an analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educ. Psychol. 41(2), 75–86 (2006)

    Article  Google Scholar 

  • Monaghan, J.M., Clement, J.: Use of a computer simulation to develop mental simulation for understanding relative motion concepts. Int. J. Sci. Educ. 21(9), 921–944 (1999)

    Article  Google Scholar 

  • Patel, V.L., Arocha, J.F., Kaufman, D.R.: Diagnostic reasoning and medical expertise. In: Medin, D.L. (ed.) The Psychology of Learning and Motivation: Advances in Research and Theory, vol. 31, pp. 187–252. Academic, New York (1994)

    Google Scholar 

  • Schmidt, H.G., Boshuizen, H.P.: On acquiring expertise in medicine. Educ. Psychol. Rev. 5(3), 205–221 (1993)

    Article  Google Scholar 

  • Shin, N., Jonassen, D.H., McGee, S.: Predictors of well-structured and ill-structured problem solving in an astronomy simulation. J. Res. Sci. Teach. 40(1), 6–33 (2003)

    Article  Google Scholar 

  • Tversky, A.: Features of similarity. Psychol. Rev. 84(4), 327–352 (1977)

    Article  Google Scholar 

  • Wu, B., Wang, M., Grotzer, T.A., Liu, J., Johnson, J.M.: Visualizing complex processes using a cognitive-mapping tool to support the learning of clinical reasoning. BMC Med. Educ. 16(1), 216 (2016)

    Article  Google Scholar 

  • Wang, M., Wu, B., Chen, N.S., Spector, J.M.: Connecting problem-solving and knowledge-construction processes in a visualization-based learning environment. Comput. Educ. 68, 293–306 (2013)

    Article  Google Scholar 

  • Young, M.: Assessment of situated learning using computer environments. J. Sci. Educ. Technol. 4(1), 89–96 (1995)

    Article  MathSciNet  Google Scholar 

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Correspondence to Jun Peng .

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Yuan, B., Peng, J., Wang, M., Kuang, L. (2019). Facilitating Students’ Learning Through Problem-Solving in a Computer-Based Expert-Supported Learning Environment. In: Cheung, S., Jiao, J., Lee, LK., Zhang, X., Li, K., Zhan, Z. (eds) Technology in Education: Pedagogical Innovations. ICTE 2019. Communications in Computer and Information Science, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-13-9895-7_1

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  • DOI: https://doi.org/10.1007/978-981-13-9895-7_1

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  • Publisher Name: Springer, Singapore

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  • Online ISBN: 978-981-13-9895-7

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