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Professional Learning in Open Networks: How Midwives Self-Regulate their Learning in Massive Open Online Courses

  • Annette DalsgaardEmail author
  • Vasudha Chaudhari
  • Allison Littlejohn
Chapter
Part of the Research in Networked Learning book series (RINL)

Abstract

This chapter reports on how midwives self-regulate their learning in an open, online network which was constituted as a massive open online course (MOOC). A validated survey instrument measuring self-regulated learning in MOOCs was distributed as a post-course online survey to 2039 enrolled participants. Two hundred seventeen participants completed the questionnaire, equivalent to a response rate of 11%. This rate is higher than the normal response rate to post-course surveys reported in MOOCs. The analysis identified seven specific factors that influence the ways midwives learn in the MOOC. There is strong evidence that midwives’ approach to networked learning is aligned to their practice, with findings suggesting that the midwives’ learning in the MOOC was characterised through self-reflection and expansive critical thinking. These findings will be of interest to those who plan for and design online, networked learning for health professionals, offering design guidelines; to midwife educators, identifying key learning characteristics of midwives; and to professional bodies, pointing to models for future networked professional learning.

Keywords

Continuing professional development Midwives MOOCs Networked learning Professional learning Self-regulated learning 

References

  1. Billett, S. (2001). Learning in the workplace: Strategies for effective practice. Sydney, Australia: Allen and Unwin.Google Scholar
  2. Carroll, C., Booth, A., Papaioannou, D., Sutton, A., & Wong, R. (2009). UK health-care professionals’ experience of online learning techniques: A systematic review of qualitative data. Journal of Continuing Education in the Health Professions, 29(4), 235–241.CrossRefGoogle Scholar
  3. Casey, M., Cooney, A., O’Connell, R., Hegarty, J. M., Brady, A. M., O’Reilly, P., et al. (2016). Nurses’, midwives’ and key stakeholders’ experiences and perceptions on requirements to demonstrate the maintenance of professional competence. Journal of Advanced Nursing, 73(3), 653–664.CrossRefGoogle Scholar
  4. Collin, K., Van der Heijden, B., & Lewis, P. (2012). Continuing professional development. International Journal of Training and Development, 16(3), 155–163.CrossRefGoogle Scholar
  5. Dalsgaard, A. (forthcoming). Learning for continuing professional development in open online learning environments. PhD thesis. Manuscript in preparation. Aalborg: Aalborg University.Google Scholar
  6. Fontana, R., Milligan, C., Littlejohn, A., & Margaryan, A. (2015). Measuring self-regulated learning in the workplace. International Journal of Training and Development, 19(1), 32–52.CrossRefGoogle Scholar
  7. Fuller, A., & Unwin, L. (2011). Workplace learning and the organization. In M. Malloch, L. Cairns, K. Evans, & B. N. O’Connor (Eds.), The SAGE handbook of workplace learning (pp. 46–59). London: SAGE.CrossRefGoogle Scholar
  8. Goodyear, P., Banks, S., Hodgson, V., & McConnell, D. (2004). Research on networked learning: An overview. In P. Goodyear, S. Banks, V. Hodgson, & D. McConnell (Eds.), Advances in research on networked learning (pp. 1–9). London: Springer.Google Scholar
  9. Gould, D., Papadopoulos, I., & Kelly, D. (2014). Tutors’ opinions of suitability of online learning programmes in continuing professional development for midwives. Nurse Education Today, 34(4), 613–618.CrossRefGoogle Scholar
  10. Gresty, K., Skirton, H., & Evenden, A. (2007). Addressing the issue of e-learning and online genetics for health professionals. Nursing & Health Sciences, 9(1), 14–22.CrossRefGoogle Scholar
  11. Henson, R. K., & Roberts, J. K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66, 393–416.CrossRefGoogle Scholar
  12. Hood, N., Littlejohn, A., & Milligan, C. (2015). Context counts: How learners’ contexts influence learning in a MOOC. Computers & Education, 91, 83–91.CrossRefGoogle Scholar
  13. IBM Corporation. (2015). IBM SPSS statistics for windows, version 23.0. Armonk, NY: IBM.Google Scholar
  14. International Confederation of Midwives. (2011). Global standards for midwifery regulation. Retrieved September 25, 2018, from http://www.internationalmidwives.org/assets/uploads/documents/Global%20Standards%20Comptencies%20Tools/English/GLOBAL%20STANDARDS%20FOR%20MIDWIFERY%20REGULATION%20ENG.pdf
  15. Jones, C., & Dirckinck-Holmfield, L. (2009). Analysing networked learning practices: An introduction. In L. Dirckinck-Holmfield, C. Jones, & B. Lindström (Eds.), Analysing networked learning practices in higher education and continuing professional development (pp. 1–27). Bedfordshire, UK: Sense.Google Scholar
  16. Jordan, K. (2014). Initial trends in enrolment and completion of massive open online courses. The International Review of Research in Open and Distributed Learning, 15(1), 133–160.CrossRefGoogle Scholar
  17. Katsikitis, M., McAllister, M., Sharman, R., Raith, L., Faithfull-Byrne, A., & Priaulx, R. (2013). Continuing professional development in nursing in Australia: Current awareness, practice and future directions. Contemporary Nurse, 4(1), 33–45.CrossRefGoogle Scholar
  18. Littlejohn, A., & Hood, N. (2018). Reconceptualising learning in the digital age: The [un]democratising potential of MOOCs. Singapore: Springer.CrossRefGoogle Scholar
  19. Littlejohn, A., & Milligan, C. (2015). Designing MOOCs for professional learners: Tools and patterns to encourage self-regulated learning. eLearning Papers, 42, article no., 4.Google Scholar
  20. Littlejohn, A., Hood, N., Milligan, C., & Mustain, P. (2016). Learning in MOOCs: Motivations and self-regulated learning in MOOCs. The Internet and Higher Education, 29, 40–48.CrossRefGoogle Scholar
  21. Margaryan, A., Bianco, M., & Littlejohn, A. (2015). Instructional quality of Massive Open Online Courses (MOOCs). Computers & Education, 80, 77–83.CrossRefGoogle Scholar
  22. Milligan, C., Littlejohn, A., & Hood, N. (2016). Learning in MOOCs: A comparison study, Proceedings of the European Stakeholder Summit on experiences and best practices in and around MOOCs (EMOOCS 2016). Retrieved September 25, 2018, from http://emoocs2016.eu/wp-content/uploads/2016/02/proceedings-emoocs2016.pdf
  23. Milligan, C., & Littlejohn, A. (2016). How health professionals regulate their learning in massive open online courses. The Internet and Higher Education, 31, 113–121.CrossRefGoogle Scholar
  24. Patterson, J., & Davis, D. (2007). New Zealand midwives and tertiary study. New Zealand College of Midwives Journal, 36, 13–19.Google Scholar
  25. Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor, MI: National Center for Research to Improve Post Secondary Teaching and Learning.Google Scholar
  26. Radford, A. W., Robles, J., Cataylo, S., Horn, L., Thornton, J., & Whitfield, K. E. (2014). The employer potential of MOOCs: A mixed-methods study of human resource professionals’ thinking on MOOCs. The International Review of Research in Open and Distributed Learning, 15(5), 1–25.CrossRefGoogle Scholar
  27. Sidebotham, M., Dalsgaard, A., Davis, D., & Stewart, S. (2015). The virtual international day of the midwife: A synchronous open online conference for continuing professional development and learning for midwives. International Journal of Childbirth, 5(2), 91–99.CrossRefGoogle Scholar
  28. Stewart, S., Sidebotham, M., & Davis, D. (2012a). The virtual international day of the midwife: Social networking for continuing professional development. Nurse Education in Practice, 12(5), 248–252.CrossRefGoogle Scholar
  29. Stewart, S., Sidebotham, M., & Davis, D. (2012b). International networking: connecting midwives through social media. International Nursing Review, 59(3), 431–434.CrossRefGoogle Scholar
  30. Stirling, C., & Monaghan, J. (2005). Australian rural midwives: Perspectives on continuing professional development. Rural and Remote Health, 5, 1–8.Google Scholar
  31. Wain, A. (2017). Learning through reflection. British Journal of Midwifery, 25(10), 662–666.CrossRefGoogle Scholar
  32. Whitehill, J., Williams, J., Lopez, G., Coleman, C., & Reich, J. (2015). Beyond prediction: First steps toward automatic intervention in MOOC student stopout. In O. C. Santos, J. G. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J. M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, & M. Desmarais (Eds.), Proceedings of the 8th international conference on educational data mining (pp. 171–178). Spain: Madrid.Google Scholar
  33. Zimmerman, B. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, M. Zeidner, & P. Pintrich (Eds.), Handbook of self-regulation (pp. 13–39). San Diego, CA: Academic Press.CrossRefGoogle Scholar
  34. Zimmermann, B. (2001). Theories of self-regulated learning and academic achievements: An overview and analysis. In B. Zimmerman & D. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (2nd ed., pp. 1–37). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Annette Dalsgaard
    • 1
    Email author
  • Vasudha Chaudhari
    • 2
  • Allison Littlejohn
    • 3
  1. 1.Aalborg UniversityAalborgDenmark
  2. 2.Open UniversityMilton KeynesUK
  3. 3.College of Social SciencesUniversity of GlasgowGlasgowUK

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