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Triple-Loop Learning Based on PDSA Cycle: The Case of Blogs for Students-at-Risk

  • Ahmad F. Sad
  • Andreea Ionica
  • Monica LebaEmail author
  • Simona Riurean
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 724)

Abstract

We are witnessing the evolution of the concepts capturing the dynamics of learning. Starting with “following the rules” in the single-loop learning model, the concepts have evolved showing the need for “changing the rules” and for “thinking outside the box” with significant changes also at the “mental model”. The idea of continuous improvement is summarized in “learning about learning”, the essence of triple-loop learning model “reflexive thought and outside contribution” in order to change and transform organizational practices and learning processes. In this paper, we discuss the particular case of the students at risk and their learning improvement possibilities using ICT tools, namely blogs.

Keywords

ICT Continuous improvement Web 2.0 technologies 

References

  1. 1.
    Mikkelsen, J., Holm, H.A.: Contextual learning to improve health care and patient safety. Educ. Health 20, 3 (2007)Google Scholar
  2. 2.
    Argyris, C., Schon, D.: Organizational Learning: A Theory of Action Perspective. Addison-Wesley Publishing Co., Reading (1978)Google Scholar
  3. 3.
    Palmer, D.: What is the best way to motivate students in science? Teach. Sci. J. Aust. Sci. Teach. Assoc. 53(1), 38–42 (2007)Google Scholar
  4. 4.
    Madrazo, D.: The effect of technology infusion on at-risk high school students motivation to learn. A Ph.D. Dissertation in Education. Reich College of Education (2011)Google Scholar
  5. 5.
    Barley, Z., Lauer, P.A., Arens, S.A., Apthorp, H.S., Englert, K.S., Snow, D., Akiba, M.: Helping at-risk students meet standards: a synthesis of evidence-based classroom practices. Mid-continent Research for Education and Learning, Aurora, CO (2002)Google Scholar
  6. 6.
    Darling-Hammond, L., Zielezinski, M., Goldman, S.: Using technology to support at-risk students’ learning. Stanford Cent. Oppor. policy Educ. (2014)Google Scholar
  7. 7.
    McGuinnes, M.: Technology-based literacy instruction for at-risk students. J. Cross-Discip. Perspect. Educ. 8(1), 12–20 (2015)Google Scholar
  8. 8.
    Jimoyiannis, A., Angelaina, S.: Towards an analysis framework for investigating students’ engagement and learning in educational blogs. J. Comput. Assist. Learn. 28(3), 222–234 (2012)CrossRefGoogle Scholar
  9. 9.
    Sawmiller, A.: Classroom blogging: what is the role in science learning? Clear. House J. Educ. Strat. Issues Ideas 83(2), 44–48 (2010)CrossRefGoogle Scholar
  10. 10.
    Bandura, A.: Self-efficacy: toward a unifying theory of behavioral changes. Psychol. Rev. 1977(84), 191–215 (1977)CrossRefGoogle Scholar
  11. 11.
    Ashton, P.: Teacher efficacy: a motivational paradigm for effective teacher education. J. Teach. Educ. 35(5), 28–32 (1984)CrossRefGoogle Scholar
  12. 12.
    Santrock, J.: Educational Psychology: A Tool for Effective Teaching. McGraw-Hill, New York (2009)Google Scholar
  13. 13.
    Butler, Y.: Parental factors in children’s motivation for learning english: a case in China. Res. Papers Educ. 30(2), 164–191 (2015)CrossRefGoogle Scholar
  14. 14.
    Chen, C., Chou, M.: Enhancing middle school students’ scientific learning and motivation through agent-based learning. J. Comput. Assist. Learn. 31(5), 481–492 (2015)CrossRefGoogle Scholar
  15. 15.
    Larson, L., Kuhn, C., Collins, R., Balthazor, G., Ribble, M., Miller, T.: Technology instruction: fixing the disconnect. Princ. Leadersh. 10(4), 54–58 (2010)Google Scholar
  16. 16.
    Eyvind, E., Knut-Andreas, C.: Perceptions of digital competency among student teachers: contributing to the development of student teachers’ instructional self-efficacy in technology-rich classrooms. Educ. Sci. 7, 27 (2017)CrossRefGoogle Scholar
  17. 17.
    Lawlor, J., Marshall, K., Tangney, B.: BRIDGE21–exploring the potential to foster intrinsic student motivation through a team-based, technology-mediated learning model. Technol. Pedagogy Educ. 25(2), 187–206 (2016)CrossRefGoogle Scholar
  18. 18.
    Gan, S.: Motivating at-risk students through computer-based cooperative learning activities. Educ. Horiz. 77(3), 151–156 (1999)Google Scholar
  19. 19.
    Lin, H., Fan, W., Wallace, L.: An empirical study of web-based knowledge community success. In: Proceedings of the 40th Hawaii International Conference on System Sciences, pp. 1530–1605 (2007)Google Scholar
  20. 20.
    Tekinarslan, E.: Reflections on effects of blogging on students’ achievement and knowledge acquisition in issues of instructional technology. Int. J. Instruct. Technol. Dist. Learn. (2010)Google Scholar
  21. 21.
    Karademir, T., Oztürk, T.H., Yilmaz, G.K., Yilmaz, R.: Contribution of using e-portfolio system with peer and individual enhancing computer skills of students. In: Chamblee, G., Langub, L. (eds.) Proceedings of Society for Information Technology and Teacher Education International Conference 2016, pp. 936–941 (2016)Google Scholar
  22. 22.
    McBride, J., Henley, J., Grymes, J., Williams, D.: Effectively organizing and managing an electronic portfolio. In: Proceedings of Society for Information Technology Teacher Education International Conference 2015, pp. 975–980 (2015)Google Scholar
  23. 23.
    Theodosiadou, D., Konstantinidis, A.: Introducing e-portfolio use to primary school pupils: response, benefits and challenges. J. Inf. Technol. Educ. Innov. Pract. 14(1), 17–38 (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Carmel CollegeAcreIsrael
  2. 2.University of PetrosaniPetrosaniRomania

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