Skip to main content

Aligning Expectations About the Adoption of Learning Analytics in a Brazilian Higher Education Institution

  • Conference paper
  • First Online:
Artificial Intelligence in Education (AIED 2021)

Abstract

Stakeholders’ buy-in is fundamental for the successful implementation of Learning Analytics (LA) in Higher Education. We present the results of a survey in a Brazilian HEI, to investigate the ideal and realistic expectations of students and instructors about the adoption of LA. Results indicate a high interest in using LA for improving the learning experience, but with ideal expectations higher than realistic expectations, and point out key challenges and opportunities for Latin American researchers to join efforts towards building solid evidence that can inform educational policy-makers and managers, and support the development of strategies for LA services in the region.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cechinel, C., Ochoa, X., Lemos dos Santos, H., Carvalho Nunes, J.B., Rodés, V., Marques Queiroga, E.: Mapping learning analytics initiatives in Latin America. Br. J. Educ. Technol. 51(4), 892–914 (2020)

    Google Scholar 

  2. Cobo, C., Aguerrebere, C.: Building capacity for learning analytics in Latin America. Include us all! Directions for adoption of Learning Analytics in the global south p. 58 (2017)

    Google Scholar 

  3. Falcao, T.P., Ferreira, R., Rodrigues, R.L., Diniz, J., Gasevic, D.: Students’ perceptions about learning analytics in a brazilian higher education institution. In: 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT), vol. 2161, pp. 204–206. IEEE (2019)

    Google Scholar 

  4. Falcão, T.P., Mello, R.F., Rodrigues, R.L., Diniz, J.R.B., Tsai, Y.S., Gašević, D.: Perceptions and expectations about learning analytics from a brazilian higher education institution. In: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, pp. 240–249 (2020)

    Google Scholar 

  5. Ferguson, R.: Learning analytics: drivers, developments and challenges. Int. J. Technol. Enhanc. Learn. 4(5–6), 304–317 (2012)

    Article  Google Scholar 

  6. Hilliger, I., et al.: Towards learning analytics adoption: a mixed methods study of data-related practices and policies in Latin American universities. Br. J. Edu. Technol. 51(4), 915–937 (2020)

    Article  Google Scholar 

  7. Hilliger, I., et al.: Identifying needs for learning analytics adoption in Latin American universities: a mixed-methods approach. Int. High. Educ. 45, 100726 (2020)

    Article  Google Scholar 

  8. Joksimović, S., Kovanović, V., Dawson, S.: The journey of learning analytics. HERDSA Rev. High. Educ. 6, 27–63 (2019)

    Google Scholar 

  9. Kollom, K., et al.: A four-country cross-case analysis of academic staff expectations about learning analytics in higher education. Int. High. Educ. 49, 100788 (2021)

    Article  Google Scholar 

  10. Maldonado-Mahauad, J., et al.: The LALA project: Building capacity to use learning analytics to improve higher education in Latin America. In: Companion Proceedings of the 8th International Learning Analytics & Knowledge conference, pp. 630–637 (2018)

    Google Scholar 

  11. Marta Ferreyra, M., Avitabile, C., Botero Álvarez, J., Haimovich Paz, F., Urzúa, S.: At a crossroads: higher education in Latin America and the Caribbean. The World Bank (2017)

    Google Scholar 

  12. Pardo, A., Jovanovic, J., Dawson, S., Gašević, D., Mirriahi, N.: Using learning analytics to scale the provision of personalised feedback. Br. J. Educ. Technol. 50(1), 128–138 (2019)

    Article  Google Scholar 

  13. Prinsloo, P., Slade, S.: An elephant in the learning analytics room: the obligation to act. In: Proceedings of the Seventh International Conference on Learning analytics & Knowledge, pp. 46–55. ACM, New York (2017)

    Google Scholar 

  14. Tsai, Y.S., et al.: The Sheila framework: informing institutional strategies and policy processes of learning analytics. J. Learn. Anal. 5(3), 5–20 (2018)

    Article  Google Scholar 

  15. Tsai, Y.S., et al.: Learning analytics in European higher education-trends and barriers. Comput. Educ. 155, 103933 (2020)

    Google Scholar 

  16. Whitelock-Wainwright, A., Gašević, D., Tejeiro, R.: What do students want? Towards an instrument for students’ evaluation of quality of learning analytics services. In: Proceedings of the Seventh International Conference on Learning Analytics & Knowledge, pp. 368–372 (2017)

    Google Scholar 

  17. Whitelock-Wainwright, A., Gašević, D., Tejeiro, R., Tsai, Y.S., Bennett, K.: The student expectations of learning analytics questionnaire. J. Comput. Assist. Learn. 35(5), 633–666 (2019)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rafael Ferreira Mello .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Garcia, S., Marques, E.C.M., Mello, R.F., Gašević, D., Falcão, T.P. (2021). Aligning Expectations About the Adoption of Learning Analytics in a Brazilian Higher Education Institution. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science(), vol 12749. Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-78270-2_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78269-6

  • Online ISBN: 978-3-030-78270-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics