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Tackling the Challenge of Hands-on Learning from Cognitive Perspective

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1227))

Abstract

Hands-on learning has been advocated by many educators to promote students’ motivation and provide concrete learning experience. The end-product of hands-on work is also treated as the main learning goal and adopted to gauge students’ performance. However, the industrial automation of robotics and advance of artificial intelligence cast doubt on such education rationale. This study, from the perspective of cognition, addressed the challenge of hands-on learning and summarized contemporary literatures to provide supports for teachers. Students’ high-level cognition ability and capability in grasping core concepts and the concepts themselves are claimed to be the undeniable value of learning, especially in higher education. This study hopes to contribute to teachers’ better understanding of hands-on learning and adopt such pedagogy accordingly.

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References

  1. Bruguier, L.R., Greathouse Amador, L.M.: New educational environments aimed at developing intercultural understanding while reinforcing the use of english in experience-based learning. Prof. Iss. Teach. Prof. Dev. 14(2), 195–211 (2012)

    Google Scholar 

  2. Hung, W.: Enhancing systems-thinking skills with modelling. Br. J. Educ. Technol. 39(6), 1099–1120 (2008)

    Article  Google Scholar 

  3. Kariotoglou, P., Psillos, D.: Pupils pressure models and their implication for instruction. Res. Sci. Technol. Educ. 11(1), 95–108 (1993)

    Article  Google Scholar 

  4. Andresen, L., Boud, D., Cohen, R.: Experience-based learning. In: Foley, G. (ed.) Understanding Adult Education and Training. Allen & Unwin, Sydney (1995)

    Google Scholar 

  5. Dewey, J.: Democracy and education. Teddington: Echo Library. (Original work published 1916) (2007)

    Google Scholar 

  6. Ord, J., Leather, M.: The substance beneath the labels of experiential learning: the importance of John Dewey for outdoor educators. J. Outdoor Environ. Educ. 15(2), 13 (2011)

    Article  Google Scholar 

  7. Manches, A., O’Malley, C., Benford, S.: The role of physical representations in solving number problems: a comparison of young children’s use of physical and virtual materials. Comput. Educ. 54(3), 622–640 (2010)

    Article  Google Scholar 

  8. Martin, T.: Physically distributed learning with virtual manipulatives for elementary mathematics. In: Robinson, D., Schraw, G. (eds.) Recent Innovations in Educational Technology That Facilitate Student Learning. Information Age Publishing, Charlotte (2007)

    Google Scholar 

  9. Greenaway, R.: A view into the future: the value of other ways of learning and development. In: Becker, P., Schirp, J. (eds.) Other Ways of Learning, pp. 347–367. bsj Marburg, Marburg (2008)

    Google Scholar 

  10. Mayer, R.: Should there be a three-strikes rule against pure discovery learning? the case for guided methods of instruction. Am. Psychol. 59, 14–19 (2004)

    Article  Google Scholar 

  11. Kolb, D., Boyatzis, R.E., Mainemelis, C.: Experiential learning theory: previous research and new directions. Perspect. Cogn. Learn. Think. Styles 1(8), 227–247 (2000)

    Google Scholar 

  12. Bujak, K.R., Radu, I., Catrambone, R., MacIntyre, B., Zheng, R., Golubski, G.: A psychological perspective on augmented reality in the mathematics classroom. Comput. Educ. 68, 536–544 (2013)

    Article  Google Scholar 

  13. Lakoff, G., Johnson, M.: Metaphors We Live By, p. 256. University of Chicago Press, Chicago (1980)

    Google Scholar 

  14. Glenberg, A.M., Brown, M.C., Levin, J.R.: Enhancing comprehension in small reading groups using a manipulation strategy. Contemp. Educ. Psychol. 32(3), 389–399 (2007)

    Article  Google Scholar 

  15. Magnusson, S., Palincsar, A.: Teaching to promote the development of scientific knowledge and reasoning about light at the elementary school level. In: Donovan, M.S., Bransford, J. (eds.) How Students Learn Science in the Classroom, pp. 421–474. National Academies Press, Washington (2005)

    Google Scholar 

  16. Osborne, R.: Towards modifying children’s ideas about electric current. Res. Sci. Technol. Educ. 1(1), 73–82 (1983)

    Article  Google Scholar 

  17. Litts, B.K., Kafai, Y.B., Lui, D.A., Walker, J.T., Widman, S.A.: Stitching codeable circuits: high school students’ learning about circuitry and coding with electronic textiles. J. Sci. Educ. Technol. 26, 1–14 (2017)

    Article  Google Scholar 

  18. Yoon, S.A., Elinich, K., Wang, J., Steinmeier, C., Tucker, S.: Using augmented reality and knowledge-building scaffolds to improve learning in a science museum. Int. J. Comput. Supp. Coll. Learn. 7(4), 519–541 (2012)

    Article  Google Scholar 

  19. Gavish, N., Gutierrez, T., Webel, S., Rodriguez, J., Tecchia, F.: Design guidelines for the development of virtual reality and augmented reality training systems for maintenance and assembly tasks. In: BIO Web of Conferences, vol. 1, p. 00029. EDP Sciences (2011)

    Google Scholar 

  20. Moreno, R., Ozogul, G., Reisslein, M.: Teaching with concrete and abstract visual representations: effects on students’ problem solving, problem representations, and learning perceptions. J. Educ. Psychol. 103(1), 32 (2011)

    Article  Google Scholar 

  21. Sharp, J., Adams, B.: Children’s constructions of knowledge for fraction division after solving realistic problems. J. Educ. Res. 95, 333–347 (2002)

    Article  Google Scholar 

  22. Goldstone, R.L., Sakamoto, Y.: The transfer of abstract principles governing complex adaptive systems. Cogn. Psychol. 46, 414–466 (2003)

    Article  Google Scholar 

  23. Sloutsky, V.M., Kaminski, J.A., Heckler, A.F.: The advantage of simple symbols for learning and transfer. Psychon. Bull. Rev. 12, 508–513 (2005)

    Article  Google Scholar 

  24. Johnson, A.M., Butcher, K.R., Ozogul, G., Reisslein, M.: Introductory circuit analysis learning from abstract and contextualized circuit representations: effects of diagram labels. IEEE Trans. Educ. 57(3), 160–168 (2014)

    Article  Google Scholar 

  25. Bruner, J.: Toward a Theory of Instruction. Harvard University Press, Cambridge (1966)

    Google Scholar 

  26. Wu, H.K., Lee, S.W.Y., Chang, H.Y., Liang, J.C.: Current status, opportunities and challenges of augmented reality in education. Comput. Educ. 62, 41–49 (2013)

    Article  Google Scholar 

  27. Windschitl, M., Thompson, J., Braaten, M., Stroupe, D.: Proposing a core set of instructional practices and tools for teachers of science. Sci. Educ. 96(5), 878–903 (2012)

    Article  Google Scholar 

  28. Smith, C., Maclin, D., Houghton, C., Hennessey, M.: Sixth grade students’ epistemologies of science: the impact of school science experiences on epistemological development. Cogn. Instruction 18(3), 349–422 (2000)

    Article  Google Scholar 

  29. Brown, A.L., Kane, M.J.: Preschool children can learn to transfer: learning to learn and learning from examples. Cogn. Psychol. 20, 493–523 (1988)

    Article  Google Scholar 

  30. Ting, Y.L., Tai, Y.M.: Using technology in students’ daily life to teach science. Int. J. Technol. Eng. Educ. 9(1), 21–32 (2012)

    Google Scholar 

  31. Ting, Y.-L.: Using mainstream game to teach technology through an interest framework. Educ. Technol. Soc. 13(2), 141–152 (2010)

    Google Scholar 

  32. Silverthorn, D.U., Thorn, P.M., Svinicki, M.D.: It’s difficult to change the way we teach: lessons from the integrative themes in physiology curriculum module project. Adv. Physiol. Educ. 30(4), 204–214 (2006)

    Article  Google Scholar 

  33. Kember, D.: Promoting student-centred forms of learning across an entire university. High. Educ. 58(1), 1–13 (2009)

    Article  Google Scholar 

  34. Singer, S., Smith, K.A.: Discipline-based education research: understanding and improving learning in undergraduate science and engineering. J. Eng. Educ. 102(4), 468–471 (2013)

    Article  Google Scholar 

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Ting, YL., Tai, Y. (2020). Tackling the Challenge of Hands-on Learning from Cognitive Perspective. In: Shen, J., Chang, YC., Su, YS., Ogata, H. (eds) Cognitive Cities. IC3 2019. Communications in Computer and Information Science, vol 1227. Springer, Singapore. https://doi.org/10.1007/978-981-15-6113-9_3

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  • DOI: https://doi.org/10.1007/978-981-15-6113-9_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6112-2

  • Online ISBN: 978-981-15-6113-9

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