Skip to main content

Knowledge Building Conceptualisation within Smart Constructivist Learning Systems

  • Chapter
  • First Online:
Smart Universities (SEEL 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 70))

Included in the following conference series:

Abstract

This chapter focuses on the meeting of Constructivism (as a learning theory) and Smart Learning and, thus, theorises Smart Constructivist Learning. The main field of research is Smart Learning Environments. Relying on the phenomena of ‘meaning construction’ and ‘meaningful understanding production’ in the framework of smart constructivism, we will focus on analysing Smart Constructivist Knowledge Building. Accordingly, we will analyse Learning-and-Constructing-Together as a smart constructivist model of learning. The outcomes of this chapter could support the developments of smart learning strategies.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Chi, M.T.H.: Conceptual Change within and across ontological categories: examples from learning and discovery in science. In: Giere, R.N. (ed.) Cognitive Models of Science, vol. 15, Minnesota studies in the Philosophy of Science, Minneapolis, MN: University of Minnesota Press, pp. 129–186 (1992)

    Google Scholar 

  2. Limon, M.: Conceptual Change in history. In: Limon, M., Mason, L. (eds.) Reconsidering Conceptual Change: Issues in Theory and Practice, pp. 259–289. Kluwer, Dordrecht (2002)

    Chapter  Google Scholar 

  3. Watkins, C., Carnell, E., Lodge, C., Wagner, P., Whalley, C.: Effective Learning, National School Improvement Network (2002)

    Google Scholar 

  4. Badie, F.: Concept representation analysis in the context of human-machine interactions. In Proceedings of the 14th International Conference on e-Society (pp. 55–62), International Association for Development of the Information Society (IADIS), Algarve, Portugal (2016a)

    Google Scholar 

  5. Badie, F.: Towards concept understanding relying on conceptualisation in constructivist learning. In Proceedings of the 13th International Conference on Cognition and Exploratory Learning in Digital Age, pp. 292–296, International Association for Development of the Information Society (IADIS), Mannheim, Germany (2016b)

    Google Scholar 

  6. Piaget, J.: Origins of Intelligence in the Child. Routledge & Kegan Paul, London (1936)

    Google Scholar 

  7. Piaget, J., Cook, M.T.: The Origins of Intelligence in Children. International University Press, New York, NY (1952)

    Book  Google Scholar 

  8. Badie, F.: A conceptual framework for knowledge creation based on constructed meanings within mentor-learner conversations. In: Smart Education and e-Learning 2016, Springer International Publishing. Volume 59 of the series Smart Innovation, Systems and Technologies, pp. 167–177 (2016c)

    Google Scholar 

  9. Uskov, L.V., Howlett, J.R., Jain, C.L. (ed.) Smart Education and e-Learning 2016. Springer International Publishing (2016)

    Google Scholar 

  10. Uskov, V.L., Bakken, J.P., Pandey, A., Singh, U., Yalamanchili, M., Penumatsa, A.: Smart University Taxonomy: Features, Components, Systems, Smart Education and e-Learning 2016. Springer International Publishing (2016)

    Google Scholar 

  11. Badie, F.: A semantic basis for meaning construction in constructivist interactions. In: Proceedings of the 12th International Conference on Cognition and Exploratory Learning in Digital Age, pp. 369–376. International Association for Development of the Information Society (IADIS), Greater Dublin, Ireland (2015a)

    Google Scholar 

  12. Badie, F.: Towards a semantics-based framework for meaning construction in constructivist interactions. In: Proceedings of the 8th International Conference of Education, Research and Innovation, pp. 7995–8002. International Association of Technology, Education and Development (IATED), Seville, Spain (2015b)

    Google Scholar 

  13. Badie, F.: Towards semantic analysis of mentoring-learning relationships within constructivist interactions. In: Emerging Technologies for Education. Springer International Publishing. Springer Lecture Notes in Computer Science. Proceedings of International Symposium on Emerging Technologies for Education, Rome, Italy (2017a)

    Google Scholar 

  14. von Foerster, H.: Understanding Understanding. Essays on Cybernetics and Cognition. Springer, New York (2003)

    Book  Google Scholar 

  15. Peschl, M.F., Riegler, A.: Does Representation Need Reality? Rethinking Epistemological Issues in the Light of Recent Developments and Concepts in Cognitive Science, Understanding Representation in the Cognitive Sciences. Springer US, pp. 9–17 (1999)

    Google Scholar 

  16. Webb, J.: Understanding Representation. SAGE Publications (2009)

    Google Scholar 

  17. Chaitin, G.J.: Algorithmic Information Theory. Cambridge University Press (1987)

    Google Scholar 

  18. Kintsch, W., Welsch, D., Schmalhofer, F., Zimny, S.: Sentence memory: a theoretical analysis. J. Memory Lang. Elsevier (1990)

    Google Scholar 

  19. Di Pellegrino, G., Fadiga, L., Fogassi, L., Gallese, V., Rizzolatti, G.: Understanding motor events. a neurophysiological study. Exp Brain Res 91, 176–180 (1992)

    Article  Google Scholar 

  20. MacKay, D.: Information Theory. Inference and Learning Algorithms. Cambridge University Press, Cambridge (2003)

    MATH  Google Scholar 

  21. Zwaan, R.A., Taylor, L.J.: Seeing, language comprehension. J. Exp. Psychol. Gen. 135(1), 1–11 (2006)

    Article  Google Scholar 

  22. Uithol, Sebo, van Rooij, Iris, Bekkering, Harold, Haselager, Pim: Understanding motor resonance. Social Neurosci. Routledge 6(4), 388–397 (2011)

    Article  Google Scholar 

  23. Uithol, Sebo, Paulus, Markus: What do infants understand of others’ action? A theoretical account of early social cognition. Psychol. Res. 78(5), 609–622 (2014)

    Article  Google Scholar 

  24. Grosholz, Emily: Herbert Breger. The Growth of Mathematical Knowledge, Springer Science and Business Media (2013)

    Google Scholar 

  25. Marzano, R.J.: Building Background Knowledge for Academic Achievement: Research on What Works in Schools, Alexandria, VA 22311-1714 (2004)

    Google Scholar 

  26. Fisher, D., Frey, N.: Background Knowledge: The Missing Piece of the Comprehension Puzzle, Portsmouth. Heinemann, NH (2009)

    Google Scholar 

  27. Säljö, R.: Learning in the Learner’s Perspective: Some Commonplace Misconceptions. Reports from the Institute of Education, University of Gothenburg (1979)

    Google Scholar 

  28. Van Rossum, E.J., Schenk, S. M.: The relationship between learning conception, study strategy and learning outcome. Brit. J. Educ. Psychol. (1984)

    Google Scholar 

  29. Van Rossum, E.J., Rebecca, H.: The Meaning of Learning and Knowing, Sense Publishers, The Netherlands (2010)

    Google Scholar 

  30. Boyd, G.M.: Conversation Theory. In: Jonassen, D.H. (ed.) Handbook of Research on Educational Communications and Technology, 2nd edn, pp. 179–197. Lawrence Erlbaum, Mahwah, NJ (2004)

    Google Scholar 

  31. Pask, G.: Developments in Conversation Theory (part 1), Int. J. Man-Mach. Stud. Elsevier Publishers (1980)

    Google Scholar 

  32. Laurillard, D.M.: Rethinking University Teaching: A Framework for the Effective Use of Educational Technology. Routledge, London (1993)

    Google Scholar 

  33. Laurillard, D.: Rethinking University Teaching, A Conversational Framework for the Effective Use of Learning Technologies. Routledge, London (2002)

    Book  Google Scholar 

  34. Hwang, G.J.: Definition, Framework and Research issues of Smart Learning Environments—A Context-Aware Ubiquitous Learning Perspective. Smart Learn. Environ. Springer Open J. 1, 4 (2014)

    Google Scholar 

  35. Spector, J.M.: Smart Learn. Environ. Conceptualizing the Emerging Field of Smart Learning Environments, Springer, Berlin Heidelberg (2014)

    Google Scholar 

  36. Pratt, D.D.: Conceptions of Teaching. Adult Educ. Q. 42(4), 203–220 (1992)

    Google Scholar 

  37. Hans, Götzsche: Deviational Syntactic Structures. Bloomsbury Academic, London/New Delhi/ New York/ Sydney (2013)

    Google Scholar 

  38. Coccoli, M., Guercio, A., Maresca, P., Stanganelli, L.: Smarter Universities: a vision for the fast changing digital era. J. Vis. Lang. Comput. 25, 1003–1011 (2014)

    Article  Google Scholar 

  39. Bates, T., Spector, M., David Merrill, M. (eds.): Special issue: Effective, efficient and engaging (E3) learning in the digital age (2008)

    Google Scholar 

  40. Merrill, M.D.: First Principles of Instruction: Identifying and Designing Effective. Efficient and Engaging Instruction. Wiley, San Francisco, CA (2013)

    Google Scholar 

  41. IBM: Smart Education, http://www.ibm.com/smarterplanet/us/en/

  42. Biggs, John B., Collis, Kevin F.: Evaluating the Quality of Learning: The SOLO Taxonomy. Structure of the Observed Learning Outcome). Academic Press, New York (2014)

    Google Scholar 

  43. Chierchia, G.: Dynamics of Meaning: Anaphora, Presupposition, and the Theory of Grammar. University of Chicago Press (2009)

    Google Scholar 

  44. Gabbay, D.M., Guenthner, F.: Handbook of Philosophical Logic, vol. 15. Springer Science & Business Media (2010)

    Google Scholar 

  45. Larsson, S.: Formal Semantics for Perception. Workshop on Language, Action and Perception (APL), Center for Language Technology, Gothenburg, Link: http://clt.gu.se/dialogue-technology-lab/sltc2012-apl (2012)

  46. Simpson, J.A., Weiner, E.S.C.: The Oxford English Dictionary. Oxford University Press (1989)

    Google Scholar 

  47. Bloom, B.S., Engelhart, M.D., Furst, E.J., Hill, W.H., Krathwohl, D.R.: Taxonomy of Educational Objectives: The Classification of Educational Goals, Handbook I: Cognitive Domain. David McKay Company, New York (1956)

    Google Scholar 

  48. Krathwohl David, R.: A Revision of Bloom’s Taxonomy: An Overview, Theory into Practice. Routledge Publishers (2002)

    Google Scholar 

  49. Cambridge Dictionary: http://dictionary.cambridge.org/dictionary/english (2017)

  50. Badie, F.: A conceptual mirror: towards a reflectional symmetrical relation between mentor and learner. Int. J. Inf. Educ. Technol.: IJIET 2017 7(3), 199–203. ISSN: 2010-3689 (Proceedings of the 3rd International Conference on Education and Psychological Sciences (in 2016), Florence, Italy (2017b))

    Google Scholar 

  51. Badie, F.: A semantic representation of adult learners’ developing conceptions of self realisation through learning process. In: Proceedings of the 10th Annual International Technology, Education and Development Conference, pp. 5348–5353. International Association of Technology, Education and Development (IATED), Valencia, Spain (2016b)

    Google Scholar 

  52. von Glasersfeld, E.: A constructivist approach to teaching, in constructivism in education. In: Steffe, L.P., Gale, J., Hillsdale, N.J. (eds.) Lawrence Erlbaum Associates, pp. 3–15 (1995)

    Google Scholar 

  53. Wasson, B.: Instructional Planning and contemporary theories of learning: is this a self-contradiction? In: Brna, P., Paiva, A, Self, J. (eds.) Proceedings of the European Conference on Artificial Intelligence in Education, pp. 23–30. Colibri, Lisbon (1996)

    Google Scholar 

  54. Fosnot, C.T.: Constructivism: A Psychological Theory of Learning. In: Fosnot, C.T. (ed.) Constructivism: Theory, Perspectives and Practice, pp. 8–33. Teachers College Press, New York (1996)

    Google Scholar 

  55. Boethel, M., Dimock, K.V.: Constructing Knowledge with Technology, Austin. Southwest Edu ca tional Development Laboratory, Texas (2000)

    Google Scholar 

  56. Fox, R.: Constructivism examined. Oxford Rev. Educ. 27(1), 23–35 (2001)

    Article  MathSciNet  Google Scholar 

  57. Maclellan, E., Soden, R.: The importance of epistemic cognition in student-centered learning. Instr. Sci. 32, 253–268 (2004)

    Article  Google Scholar 

  58. Yilmez, K.: Constructivism: its theoretical underpinnings, variations, and implications for classroom instruction. Educ. Horizons 83(3), 161–172 (2008)

    Google Scholar 

  59. Caswell, B., Bielaczyc, K.: Knowledge forum: altering the relationship between students and scientific knowledge. Educ. Commun. Inf. 1, 281–305 (2001)

    Google Scholar 

  60. Popper, K.R.: Objective Knowledge: An Evolutionary Approach. Clarendon Press, Oxford (1972)

    Google Scholar 

  61. Baker, M., Andriessen, J., Järvelä, S. (eds.): Affective Learning Together: Social and Emotional Dimensions of Collaborative Learning. Routledge, London (2013)

    Google Scholar 

  62. Scardamalia, M., Bereiter, C., Lamon, M.: The CSILE project: Trying to bring the classroom into World 3. In: McGilley, K. (ed.) Classroom lessons: Integrating cognitive theory and classroom practice, pp. 201–228. MIT Press, Cambridge, MA (1994)

    Google Scholar 

  63. Bereiter, C., Scardamalia, M.: Theory building and the pursuit of understanding in history, social studies, and literature. In: Kirby, J.R., Lawson, M.J. (eds.) Enhancing the Quality of Learning: Dispositions, Instruction, and Learning Processes, pp. 160–177. Cambridge University Press, New York (2012)

    Chapter  Google Scholar 

  64. Scardamalia, M., Bereiter, C.: Knowledge building: theory, pedagogy, and technology. In: Sawyer, K. (ed.) Cambridge Handbook of the Learning Sciences, pp. 397–417. Cambridge University Press, New York (2014)

    Chapter  Google Scholar 

  65. Sorensen, E.K.: Networked e-Learning and Collaborative Knowledge Building: Design and Facilitation. Contemp. Issues Technol. Teach. Educ. 4(4), 446–455 (2005)

    Google Scholar 

  66. Zhang, J., Scardamalia, M., Reeve, R., Messina, R.: Designs for collective cognitive responsibility in knowledge building communities. J. Learn. Sci. 18(1), 7–44 (2009)

    Article  Google Scholar 

  67. Latour, B., Woolgar, S.: Laboratory life: The Social Construction of Scientific Facts. Sage Publications, Beverly Hills, CA (1979)

    Google Scholar 

  68. Organization for Economic Co-operation and Development (OECD): 21st Century Learning: Research, Innovation and Policy. OECD, Paris (2008)

    Google Scholar 

  69. Bereiter, C.: Principled practical knowledge: not a bridge but a ladder. J. Learn. Sci. 23(1), 4–17 (2014)

    Article  Google Scholar 

  70. Adamko, A., Kadek, T., Kosa, M.: Intelligent and adaptive services for a smart campus visions, concepts and applications. In: Proceedings of the 5th IEEE International Conference on Cognitive Infocommunications, 5–7 Nov 2014, Vietri sul Mare, Italy. IEEE (2014)

    Google Scholar 

  71. Vygotsky, Lev S.: Interaction between learning and development. Read. Dev. Child. 23(3), 34–41 (1978)

    Google Scholar 

  72. Vygotsky, L.S.: Mind in Society: Development of Higher Psychological Processes (1978)

    Google Scholar 

  73. Vygotsky, L.S.: Collected Works of L. S. Vygotsky, Vvol. 1: Problems of General Psychology (trans: Minick, N.). Plenum, New York (1987)

    Google Scholar 

  74. Scardamalia, M.: CSILE/Knowledge Forum®. In: Kovalchick, A., Dawson, K. (eds.) Education and technology: An Encyclopedia, pp. 183–192. Santa Barbara, ABC-CLIO (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Farshad Badie .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Cite this chapter

Badie, F. (2018). Knowledge Building Conceptualisation within Smart Constructivist Learning Systems. In: Uskov, V., Bakken, J., Howlett, R., Jain, L. (eds) Smart Universities. SEEL 2017. Smart Innovation, Systems and Technologies, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-319-59454-5_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59454-5_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59453-8

  • Online ISBN: 978-3-319-59454-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics