Advertisement

Emerging Technologies and Learning Innovation in the New Learning Ecosystem

  • Helene Fournier
  • Heather Molyneaux
  • Rita Kop
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 111)

Abstract

This paper highlights a decade of research by the National Research Council in the area of Personal Learning Environments, including MOOCs and learning in networked environments. The value of data analytics, algorithms, and machine learning is explored in more depth, as well as challenges in using personal learning data to automate the learning process, the use of personal learning data in educational data mining (EDM), and important ethics and privacy issues around networked learning environments.

Keywords

Personal Learning Environments Data analytics Algorithms Machine learning Ethics and privacy 

References

  1. 1.
    Weller, M.A.: Pedagogy of abundance. Span. J. Pedagog. 249, 223–236 (2011)Google Scholar
  2. 2.
    World Stats.: Internet growth statistics: Today’s road to e-commerce and global trade internet technology reports, And the “Global Village” became a Reality. https://www.internetworldstats.com/emarketing.htm. Accessed 15 May 2018
  3. 3.
    Fenwick, T.: Professional responsibility in a future of data analytics. In: Williamson, B. (ed.) Coding/learning, software and digital data in education. University of Stirling, Stirling (2015)Google Scholar
  4. 4.
    Hardt, M.: How big data is unfair: Understanding sources of unfairness in data driven decision making. https://medium.com/@mrtz/how-big-data-is-unfair-9aa544d739de. Accessed 15 May 2018
  5. 5.
    Verbert, K., Manouselis, N., Ochoa, X., Wolpers, M., Drachsler, H., Bosnic, I., Duval, E.: Context-aware recommender systems for learning: A survey and future challenges. IEEE Trans. Learn. Technol. 5(4), 318–335 (2012), https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6189308. Accessed 16 May 2018CrossRefGoogle Scholar
  6. 6.
    Hu, L., Qiuli Tong, Z.D., Liu, Y.: Context-aware recommendation of learning resources using rules engine. In: IEEE 13th International Conference on Advanced Learning Technologies (2013). https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6601899. Accessed 16 May 2018
  7. 7.
    Prinsloo, P., Slade, S.: Ethics and learning analytics: Charting the (un)charted. In: Lang, Siemens, Wise, Gašević, D. (eds.) Handbook of Learning Analytics, First Edition (2017). https://solaresearch.org/wp-content/uploads/2017/05/hla17.pdf. Accessed 16 May 2018CrossRefGoogle Scholar
  8. 8.
    Fournier, H., Kop, R., Sitlia, H.: The value of learning analytics to networked learning on a personal learning environment. In: 1st International Conference on Learning analytics and Knowledge, Paper 14, Banff, Canada (2011)Google Scholar
  9. 9.
    Kop, R., Fournier, H., Durand, G.: Challenges to research in Massive Open Online Courses. Merlot J. Online Learn. Teach. 10, 1 (2014)Google Scholar
  10. 10.
    Kop, R., Fournier, H., Durand, G.: A critical perspective on learning analytics and educational data mining. In: Lang, Siemens, Wise, Gašević (eds.) Handbook of Learning Analytics, 1st edn., pp. 319–326 (2017). https://solaresearch.org/hla-17/hla17-chapter27/. Accessed 30 May 2018CrossRefGoogle Scholar
  11. 11.
    Williamson, B.: Computing brains: Learning algorithms and neurocomputation in the smart city. Inf. Commun. Soc. 20(1), 81–99.  https://doi.org/10.1080/1369118x.2016.1181194. https://www.tandfonline.com/doi/pdf/10.1080/1369118X.2016.1181194?needAccess=true. Accessed 30 May 2018CrossRefGoogle Scholar
  12. 12.
    Prinsloo, P.: Fleeing from Frankenstein and meeting Kafka on the way: Algorithmic decision-making in higher education. Presentation at NUI, Galway, 22 September 2016. https://www.slideshare.net/prinsp/feeling-from-frankenstein-and-meeting-kafka-on-the-way-algorithmic-decisionmaking-in-higher-education. Accessed 31 July 2018
  13. 13.
    Taneja, H.: The need for algorithmic accountability/TechCrunch, 8 September 2016. https://techcrunch.com/2016/09/08/the-need-for-algorithmic-accountability/. Accessed 28 Aug 2018
  14. 14.
    Jones, C., Dirckinck-Holmfeld, L., Lindstom, B.: A relational, indirect, meso-level approach to CSCL design in the next decade. Int. J. Comput. Support. Collab. Learn. 1(1), 35–56 (2006)CrossRefGoogle Scholar
  15. 15.
    Bates, T.: Two design models for online collaborative learning: same or different? Online learning and distance education resources, 28 November 2014. https://www.tonybates.ca/2014/11/28/two-design-models-for-online-collaborative-learning-same-or-different/. Accessed 30 May 2018
  16. 16.
    Wen, M., Yang, D., Rosé, C.: Sentiment analysis in MOOC discussion forums: What does it tell us? In: Proceedings of 2012 Educational Data Mining, pp. 1–8 (2012)Google Scholar
  17. 17.
    Cambria, E.: Affective computing and sentiment analysis. IEEE Intell. Syst. 31(2), 102–107 (2016).  https://doi.org/10.1109/MIS.2016.31CrossRefGoogle Scholar
  18. 18.
    Björneborn, L.: Three key affordances of serendipity. J. Doc. 73(5), 1053–1081 (2017)CrossRefGoogle Scholar
  19. 19.
    Kop, R.: The unexpected connection: Serendipity and human mediation in networked learning. Educ. Technol. Soc. 15(2), 2–11 (2012). https://pdfs.semanticscholar.org/2513/2614cbd6733047129e5945a5784d5ede7ef2.pdf. Accessed 30 May 2018
  20. 20.
    Gritton, J.: Of Serendipity, free association and aimless browsing: Do they lead to serendipitous learning? https://www.researchgate.net/publication/242402926_Of_serendipity_free_association_and_aimless_browsing_do_they_lead_to_serendipitous_learning. Accessed 4 Sep 2018
  21. 21.
    Lu, Q., Chen, T., Zhang, W., Yang, D., Yu, Y.: Serendipitous personalized ranking for Top-N recommendation. In: IEEE/WIC/ACM International Conferences on Web Intelligence & Intelligent Agent Technology 1, pp. 258–265 (2012). https://www.cs.cmu.edu/~diyiy/docs/wi12.pdf. Accessed 30 May 2018

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.National Research Council CanadaMonctonCanada
  2. 2.National Research Council CanadaFrederictonCanada
  3. 3.Yorkville UniversityFrederictonCanada

Personalised recommendations