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Learning Analytics as a Sociotechnical System

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Proceedings of the Future Technologies Conference (FTC) 2019 (FTC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1070))

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Abstract

In the current education, there are several analytics strategies to support educators in the monitoring and analysis of course events. The systems used to explore the raw data about facts and processes in courses contexts include humans and Information and Communication Technology. These sociotechnical systems are environments that enable collaborative work among humans and between humans and computer agents. These environments have features that dare technological determinism in order to develop innovative situation awareness and decision support approaches. This work is about System Thinking and Meta-design to support sociotechnical environments in which the management process of the Learning Analysis considers humans factors, adding value to learning processes.

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References

  1. Campbell, J.P., DeBlois, P.B., Oblinger, D.G.: Academic analytics, a new tool for a new era. EDUCAUSE Rev. 42(4), 40–57 (2007). http://www.educause.edu/ero/article/academic-analytics-new-tool-new-era

    Google Scholar 

  2. Rud, O.: Business Intelligence Success Factors: Tools for Aligning Your Business in the Global Economy. Wiley, Hoboken (2009). ISBN 9780470392409

    Google Scholar 

  3. Siemens, G.: Learning analytics: envisioning a research discipline and a domain of practice. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK 2012), Vancouver, Canada, 2012, pp. 4–8. (2012). https://doi.org/10.1145/2330601.2330605

  4. SOLAR, Society for Learning Analytics Research. http://www.solaresearch.org/about/. Accessed Apr 20 2019

  5. Siemens, G.: Connectivism: creating a learning ecology in distributed environment. In: Hug, T. (ed.) Didactics of Microlearning: Concepts, Discourses, and Examples, pp. 53–68. Waxmann Verlag, New York (2007)

    Google Scholar 

  6. Samson, D., Daft, R.L.: Management. Cengage Learning, South Victoria (2012). ISBN 9780170192705

    Google Scholar 

  7. Renger, M., Kolfschoten, G., Vreede, G.: Challenges in collaborative modeling: a literature review. In: Advance in Enterprise Engineering I. Lecture Notes in Business Information Processing, vol. 10, pp. 61–77, Springer, Berlin (2008). https://doi.org/10.1007/978-3-540-68644-6_5

  8. Hitchins, D.K.: Systems Engineering: A 21st Century Systems Methodology. Wiley, Chichester (2008)

    Google Scholar 

  9. Meadows, D.: Thinking in Systems: A Primer. Earthscan, London (2009). Edited by D. Wright

    Google Scholar 

  10. Appelo, J.: How to Change the World: Change Management 3.0. eBook, version 1.01, Rotterdam, The Netherlands (2012)

    Google Scholar 

  11. Sweeney, L.B.: When A Butterfly Sneezes: A Guide for Helping Kids Explore Interconnections in our World Through Favorites Stories, 1st edn. Pegasus Communications, Waltham (2001)

    Google Scholar 

  12. Checkland, P.: Soft Systems Methodology: A 30-Year Retrospective. Wiley, New York (1999)

    Google Scholar 

  13. Fischer, G., Giaccardi, E.: Meta-design: a framework for the future of end-user development. In: Lieberman, H., Paterno, F., Wulf, V. (eds.) End User Development, pp. 427–457. Springer, Dordrecht (2006)

    Chapter  Google Scholar 

  14. Fischer, G., Giaccardi, E., Ye, Y., Sutcliffe, A., Mehandjiev, N.: Meta-design: a manifesto for end-user development. Commun. ACM 47(9), 33–37 (2004). https://doi.org/10.1145/1015864.1015884

    Article  Google Scholar 

  15. Fischer, G., Fogli, D., Piccinno, A.: Revisiting and broadening the meta-design framework for end-user development. In: Paternò, F., Wulf, V. (eds.) New Perspectives in End-User Development. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60291-2_4

    Chapter  Google Scholar 

  16. Blockley, D.: The importance of being process. Civil Eng. Environ. Syst. 27(3), 189–199 (2010). https://doi.org/10.1080/10286608.2010.482658

    Article  Google Scholar 

  17. Blockley, D.: Process modelling from reflective practice for engineering quality. Civil Eng. Environ. Syst. 16(4), 287–313 (1999). https://doi.org/10.1080/02630259908970268

    Article  Google Scholar 

  18. Weick, K.E., Sutcliffe, K.M., Obstfeld, D.: Organizing and the process of sensemaking. Organ. Sci. 16(4), 409–421 (2005). https://doi.org/10.1287/orsc.1050.0133

    Article  Google Scholar 

  19. Dadam, P., Reichert, M.: The ADEPT project: a decade of research and development for robust and flexible process support – challenges and achievements. Comput. Sci. Res. Dev. 23(2), 81–97 (2009). https://doi.org/10.1007/s00450-009-0068-6

    Article  Google Scholar 

  20. Weske, M.: Business Process Management – Concepts, Languages, Architectures. Springer, Heidelberg (2007)

    Google Scholar 

  21. Davies, I., Green, P., Rosemann, M.: How do practitioners use conceptual modeling in practice? J. Data Knowl. Eng. 58, 358–380 (2006). https://doi.org/10.1016/j.datak.2005.07.007

    Article  Google Scholar 

  22. von Hippel, E.: Democratizing Innovation. MIT Press, Cambridge (2005)

    Book  Google Scholar 

  23. Erol, S., Mödritscher, F., Neumann, G.: A Meta-design approach for collaborative process modeling. In: Proceedings of the 2nd International Workshop on Open Design Spaces (ODS 2010) International Reports on Socio-Informatics, vol. 7, no. 2 (2010), pp. 46–62. https://www.researchgate.net/publication/249991052_A_Meta-Design_Approach_for_Collaborative_Process_Modeling

  24. Meadows, D., Wright, D.: Thinking in Systems: A Primer. Chelsea Green Pub, Hartford (2008)

    Google Scholar 

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Correspondence to Marcel Simonette .

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Simonette, M., Magalhães, M., Spina, E. (2020). Learning Analytics as a Sociotechnical System. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2019. FTC 2019. Advances in Intelligent Systems and Computing, vol 1070. Springer, Cham. https://doi.org/10.1007/978-3-030-32523-7_66

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