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Future Education and Talents Cultivation: A Knowledge Building Approach

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Blended Learning: Engaging Students in the New Normal Era (ICBL 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13357))

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Abstract

New era of 21st century and knowledge society required new talents with creative thinking and problem-solving skills, which has become a base for cultivating the new talents for future education. Education transformation has been becoming a popular issue currently in the field of basic and higher education. The representative typical approach of education transformation is knowledge-dominated approach which has been transmitted to competence-based approach. This paper investigates the theoretical base for supporting future education and talents cultivation. A Knowledge Building Approach (KBA) has been applied to explore the way for exploring the new talents cultivation. Based on the results of two experimental studies, the KBA can be used for improving students’ problem-solving and creative thinking skills.

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References

  1. Theintactone. Concept of information society, knowledge society. https://theintactone.com/2019/11/05/cs-u1-topic-1-concept-of-information-society-knowledge-society/

  2. Weiler, R.: Lifelong learning: a necessity in the knowledge society. Eruditio 2(4) (2018)

    Google Scholar 

  3. Limuma, M.: Learning and Teaching with Technology in the Knowledge Society New Literacy, Collaboration and Digital Content. Springer, Singapore (2016). https://doi.org/10.1007/978-981-10-0144-4

  4. Reber, B., Brossaud, C.: Digital Cognitive Technologies Epistemology and the Knowledge Economy. ISTE Ltd., London (2020)

    Google Scholar 

  5. Tan, A.G.: Creativity, Talent and Excellence. Springer, New York (2013)

    Book  Google Scholar 

  6. Knight, J.: International Education Hubs Student: Talent, Knowledge-Innovation Models. Springer, London (2014)

    Book  Google Scholar 

  7. Moller, L., Huett, J.B., Harvey, D.M.: Learning and Instructional Technologies for the 21st Century: Visions of the Future. Springer, New York (2009). https://doi.org/10.1007/978-0-387-09667-4

  8. Bishop, M.J., Boling, E., Elen, J., Svihla, V.: Handbook of Research in Educational Communications and Technology: Learning Design. Springer, Cham (2020). https://doi.org/10.1007/978-1-4614-3185-5

  9. The North Central Regional Educational Laboratory. enGauge® 21st Century Skills: for 21st century learners. www.ncrel.org/engauge

  10. Bereiter, C., Scardamalia, M., Cassells, C., Hewitt, J.: Postmodernism, knowledge building, and elementary science. Elem. Sch. J. 97(4), 329–340 (1997)

    Article  Google Scholar 

  11. Scardamalia, M., Bereiter, C.: Knowledge building and knowledge creation: theory, pedagogy, and technology. In: Sawyer, K. (ed.) The Cambridge Handbook Of The Learning Sciences, 2nd edn., pp. 397–417. Cambridge University Press, Cambridge (2014)

    Google Scholar 

  12. Scardamalia, M., Bransford, J., Kozma, B., Quellmalz, E.: New assessments and environments for knowledge building. In: Griffin, P., McGaw, B., Care, E. (eds.) Assessment and Teaching of 21st Century Skills, pp. 231–300. Springer, Dordrecht (2012). https://doi.org/10.1007/978-94-007-2324-5_5

  13. Shute, V.J., Sun, C., Asbell-Clarke, J.: Demystifying computational thinking. Educ. Res. Rev. 22, 142–158 (2017)

    Article  Google Scholar 

  14. Tang, X., Yin, Y., Lin, Q., Hadad, R., Zhai, X.: Assessing computational thinking: a systematic review of empirical studies. Comput. Educ. 148, 103798 (2020)

    Article  Google Scholar 

  15. Oshima, J., Oshima, R., Matsuzawa, Y.: Knowledge building discourse explorer: a social network analysis application for knowledge building discourse. Educ. Tech. Res. Dev. 60(5), 903–921 (2012)

    Article  Google Scholar 

  16. Oshima, J., Shaffer, D.W.: Learning Analytics for a new epistemological perspective of learning. Inf. Technol. Educ. Learn. 1(1), Inv-p003 (2021)

    Google Scholar 

  17. Borgatti, S.P., Everett, M.G., Freeman, L.C.: UCINET. In: Alhajj, R., Rokne, J. (eds.) Encyclopedia of Social Network Analysis and Mining, pp. 2261–2267. Springer, New York (2014). https://doi.org/10.1007/978-1-4614-6170-8

  18. Hakkarainen, K.: Progressive inquiry in a computer-supported biology class. J. Res. Sci. Teach. 40(10), 1072–1088 (2003)

    Article  Google Scholar 

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Acknowledgments

I would like to give my best gratitude to my colleague, Dr. Feng for her dedication and innovative work. This work is part of the Chinese National Social Science Fund “deep interaction and precise assessment for online teaching” (No. BCA200090).

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Authors and Affiliations

  1. The Center of Studies for Future Education, Southern University of Science and Technology, Shenzhen, Guangdong, China

    Jianhua Zhao

Authors
  1. Jianhua Zhao
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Correspondence to Jianhua Zhao .

Editor information

Editors and Affiliations

  1. The Hong Kong Polytechnic University, Hong Kong, China

    Richard Chen Li

  2. Hong Kong Metropolitan University, Hong Kong, China

    Simon K. S. Cheung

  3. The Hong Kong Polytechnic University, Hong Kong, China

    Peter H. F. Ng

  4. Tung Wah College, Hong Kong, China

    Leung-Pun Wong

  5. Hong Kong Metropolitan University, Hong Kong, China

    Fu Lee Wang

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Zhao, J. (2022). Future Education and Talents Cultivation: A Knowledge Building Approach. In: Li, R.C., Cheung, S.K.S., Ng, P.H.F., Wong, LP., Wang, F.L. (eds) Blended Learning: Engaging Students in the New Normal Era. ICBL 2022. Lecture Notes in Computer Science, vol 13357. Springer, Cham. https://doi.org/10.1007/978-3-031-08939-8_4

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  • DOI: https://doi.org/10.1007/978-3-031-08939-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08938-1

  • Online ISBN: 978-3-031-08939-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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