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How Learning Has Been Personalised: A Review of Literature from 2009 to 2018

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Blended Learning: Educational Innovation for Personalized Learning (ICBL 2019)

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Abstract

This paper presents a comprehensive study of the literature related to personalised learning in the past decade, summarising how, and in what aspects, learning has been personalised. The study covers a total of 179 relevant articles collected from the Web-of-Science and Scopus databases. The results show that, between 2009–13 and 2014–18, there was a clear upward trend—a 120% increase in the number of relevant publications over the years. The research and practice have become more diversified in terms of the target learners, research issues, and objectives. The means to achieve personalised learning mainly involve educational technologies, where emerging technologies such as learning analytics, massive open online courses and augmented/virtual reality have been increasingly used. The results reveal the areas for further investigation, such as the challenges arising from the adoption of emerging technology, the aspects of learning receiving little attention, and the changing role of teachers in the move to student-centred personalised learning.

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References

  1. Groff, J.: Personalized learning: The state of the field & future directions. Center for Curriculum Redesign (2017)

    Google Scholar 

  2. Patrick, S., Kennedy, K., Powell, A.: Mean what you say: defining and integrating personalized, blended and competency education. International Association for K-12 Online Learning (iNACOL), Vienna (2013)

    Google Scholar 

  3. Li, K.C., Wong, B.T.M.: Advancing teaching with massive open online courses: a review of case studies. Int. J. Innov. Learn. 25(2), 141–155 (2019)

    Article  Google Scholar 

  4. Li, K.C., Wong, B.T.M., Choi, S.P.M.: Trends in learning analytics practices: a review of higher education institutions. Interact. Technol. Smart Educ. 15(2), 132–154 (2018)

    Article  Google Scholar 

  5. Education Elements: 2016–2017 impact reprot: Building capacity for personalized learning and more. Education Elements (2017)

    Google Scholar 

  6. National Association of State Boards of Education: Most likely to succeed: Policy making in support of a restructured high school. NASBE, Alexandria (2002)

    Google Scholar 

  7. Scott, E., Soria, A., Campo, M.: Adaptive 3D virtual learning environments – a review of the literature. IEEE Trans. Learn. Technol. 10(3), 262–276 (2017)

    Article  Google Scholar 

  8. Berge, Z.L.: If you think socialisation in mLearning is difficult, try personalisation. Int. J. Mob. Learn. Organ. 5(3/4), 231–238 (2011)

    Article  Google Scholar 

  9. O’Donnell, E., Sharp, M., Wade, V., O’Donnell, L.: Personalised e-learning: the assessment of students’ prior knowledge in higher education. In: Wang, V.X. (eds) Handbook of Research on Education and Technology in a Changing Society, pp. 744–755. IGI Global (2014)

    Google Scholar 

  10. Gabarre, S., Gabarre, C., Din, R.: Personalizing learning: a critical review of language learning with mobile phones and social networking sites. J. Adv. Res. Dyn. Control. Syst. 10(2), 1782–1786 (2018)

    Google Scholar 

  11. Clarke, J.: Changing systems to personalize learning: Introduction to the personalization workshops. Brown University (2003)

    Google Scholar 

  12. Chen, S.Y., Macredie, R.: Web-based interaction: a review of three important human factors. Int. J. Inf. Manag. 30(5), 379–387 (2010)

    Article  Google Scholar 

  13. Jewitt, C., Clark, W., Hadjithoma-Garstka, C.: The use of learning platforms to organise learning in English primary and secondary schools. Learn. Media Technol. 36(4), 335–348 (2011)

    Article  Google Scholar 

  14. Kim, J., Hwang, D., Park, S.I., Lee, H., Hong, C., Kim, W.: Personalized interactive e-learning system using expanded SCORM. Appl. Math. Inf. Sci. 8(1L), 133–139 (2014)

    Article  Google Scholar 

  15. Kong, S.C., Song, Y.: An experience of personalized learning hub initiative embedding BYOD for reflective engagement in higher education. Comput. Educ. 88, 227–240 (2015)

    Article  Google Scholar 

  16. Campbell, R.J., Robinson, W., Neelands, J., Hewston, R., Mazzoli, L.: Personalised learning: ambiguities in theory and practice. Br. J. Educ. Stud. 55(2), 135–154 (2007)

    Article  Google Scholar 

  17. Inayat, I., ul Amin, R., Inayat, Z., Salim, S.S.: Effects of collaborative web based vocational education and training (VET) on learning outcomes. Comput. Educ. 68, 153–166 (2013)

    Article  Google Scholar 

  18. Hopkins, L., Moss, J., Green, J., Strong, G.: Embedding learning in a paediatric hospital: changing practice and keeping connected. Int. J. Incl. Educ. 18(3), 312–321 (2014)

    Article  Google Scholar 

  19. O’Donnell, E., Sharp, M., Wade, V.P., O’Donnell, L.: Challenges encountered in creating personalised learning activities to suit students learning preferences. In: Kats, Y., (ed.) Learning Management Systems and Instructional Design: Best Practices in Online Education, pp. 263–287. IGI Global (2013)

    Google Scholar 

  20. Wong, B.T.M.: Learning analytics in higher education: an analysis of case studies. Asian Assoc. Open Univ. J. 12(1), 21–40 (2017)

    Article  Google Scholar 

  21. Wong, B.T.M.: Factors leading to effective teaching of MOOCs. Asian Assoc. Open Univ. J. 11(1), 105–118 (2016)

    Article  Google Scholar 

  22. Li, K.C., Lee, L.Y.-K., Wong, S.-L., Yau, I.S-Y., Wong, B.T.-M.: Evaluation of the use of mobile devices for clinical practicum in nursing education. In: Cheung, S.K.S., Kwok, L.-f., Kubota, K., Lee, L.-K., Tokito, J. (eds.) ICBL 2018. LNCS, vol. 10949, pp. 215–226. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94505-7_17

    Chapter  Google Scholar 

  23. Gašević, D., Dawson, S., Pardo, A.: How do we start? State and directions of learning analytics adoption. International Council for Open and Distance Education (2016)

    Google Scholar 

  24. Lee, D., Huh, Y., Lin, C.Y., Reigeluth, C.M.: Technology functions for personalized learning in learner-centered schools. Educ. Technol. Res. Dev. 66(5), 1269–1302 (2018)

    Article  Google Scholar 

  25. Yao, C.B.: Constructing a user-friendly and smart ubiquitous personalized learning environment by using a context-aware mechanism. IEEE Trans. Learn. Technol. 10(1), 104–114 (2017)

    Article  Google Scholar 

  26. Li, K.C., Wong, B.T.M., Wong, B.Y.Y.: Catering for diverse needs for student support: differences between face-to-face and distance-learning students. In: the 29th Annual Conference of the Asian Association of Open Universities, Kuala Lumpur, Malaysia (2015)

    Google Scholar 

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Correspondence to Billy Tak-Ming Wong .

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Li, K.C., Wong, B.TM. (2019). How Learning Has Been Personalised: A Review of Literature from 2009 to 2018. In: Cheung, S., Lee, LK., Simonova, I., Kozel, T., Kwok, LF. (eds) Blended Learning: Educational Innovation for Personalized Learning. ICBL 2019. Lecture Notes in Computer Science(), vol 11546. Springer, Cham. https://doi.org/10.1007/978-3-030-21562-0_6

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  • DOI: https://doi.org/10.1007/978-3-030-21562-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21561-3

  • Online ISBN: 978-3-030-21562-0

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