Abstract
Learning Analytics (LA) dashboards aggregate indicators about student performance and demographics to support academic advising. The majority of existing dashboards are targeted at advisors and professors, but not much attention has been put into students’ need for information for their own academic decision-making. In this study, we identify relevant indicators from a student perspective using a mixed methods approach. Qualitative data was obtained from an open-ended online questionnaire answered by 31 student representatives, and quantitative data was collected from a closed-ended online questionnaire answered by 652 students from different cohorts. Findings point out relevant indicators to help students choose what courses to take in an upcoming academic period. Since this study is part of a large research project that has motivated the adoption of academic advising dashboards in different Latin American universities, these findings were also contrasted with indicators of these advising dashboards, informing future developments targeting students.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bodily, R., Verbert, K.: Review of research on student-facing learning analytics dashboards and educational recommender systems. IEEE Trans. Learn. Technol. 10(4), 405–418 (2017)
Jivet, I., Scheffel, M., Specht, M., Drachsler, H.: License to evaluate: preparing learning analytics dashboards for educational practice. In: Proceedings of the 8th International Conference on Learning Analytics and Knowledge - LAK 2018, pp. 31–40 (2018)
Schwendimann, B.A., et al.: Perceiving learning at a glance: a systematic literature review of learning dashboard research. IEEE Trans. Learn. Technol. 10(1), 30–41 (2017)
De Quincey, E., Kyriacou, T., Briggs, C., Waller, R.: Student centred design of a learning analytics system. In: ACM International Conference Proceeding Series, pp. 353–362 (2019)
Baker, R.S.: Stupid tutoring systems, intelligent humans. Int. J. Artif. Intell. Educ. 26(2), 600–614 (2016). https://doi.org/10.1007/s40593-016-0105-0
Mu, L., Fosnacht, K.: Effective advising: how academic advising influences student learning outcomes in different institutional contexts. Rev. High. Educ. 42(4), 1283–1307 (2019)
Phillips, E.D.: Improving advising using technology and data analytics. Chang. Mag. High. Learn. 45, 48–56 (2013)
Denley, T.: How predictive analytics and choice Architecture can improve student success. Res. Pract. Assess. 2014, 61–69 (2014)
Schock, L.: Success through predictive analytics. International Educator, p. 16 (2018)
Aguilar, S., Lonn, S., Teasley, S.D.: Perceptions and use of an early warning system during a higher education transition program. In: ACM International Conference Proceeding Series, pp. 113–117 (2014)
Gutiérrez, F., Seipp, K., Ochoa, X., Chiluiza, K., De Laet, T., Verbert, K.: LADA: A learning analytics dashboard for academic advising. Comput. Human Behav. 107, 105826 (2018)
Charleer, S., Vande Moere, A., Klerkx, J., Verbert, K., De Laet, T.: Learning analytics dashboards to support adviser-student dialogue. IEEE Trans. Learn. Technol. 11(3), 389–399 (2018)
Lim, L., Joksimović, S., Dawson, S., Gašević, D.: Exploring students’ sensemaking of learning analytics dashboards: does frame of reference make a difference? In: ACM International Conference Proceeding Series, pp. 250–259 (2019)
Dollinger, M., Lodge, J.M.: Co-creation strategies for learning analytics. In: ACM International Conference Proceeding Series, pp. 97–101, March 2018
Uhomoibhi, J., Azevedo, A.I.R.L., Azevedo, J.M.M.L., Ossiannilsson, E.: Learning analytics in theory and practice: guest editorial. Int. J. Inf. Learn. Technol. 36(4), 286–287 (2019)
Oblinger, D.G. (ed.) Game Changers: Education and Information Technologies (2012)
Burns, B., Crow, M.M., Becker, M.P.: Innovating together: collaboration as a driving force to improve student success. EDUCAUSEreview, pp. 1–9 (2015)
Lonn, S., Teasley, S.D.: Student explorer: a tool for supporting academic advising at scale. In: L@S 2014 – Proceedings of the 1st ACM Conference Learning Scale, pp. 175–176 (2014)
Millecamp, M., Gutiérrez, F., Charleer, S., Verbert, K., De Laet, T.: A qualitative evaluation of a learning dashboard to support advisor-Student dialogues. In: ACM International Conference Proceedings Series, no. 2, pp. 56–60 (2018)
Jones, K.M.L.: Advising the whole student: eAdvising analytics and the contextual suppression of advisor values. Educ. Inf. Technol. 24(1), 437–458 (2018). https://doi.org/10.1007/s10639-018-9781-8
Chevreux, H., Henríquez, V., Guerra, J., Sheihing, E.: Agile development of learning analytics tools in a rigid environment like a university: benefits, challenges and strategies. In: Transforming Learning with Meaningful Technologies 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, pp. 705–708 (2019)
Guerra, J., et al.: Adaptation and evaluation of a learning analytics dashboard to improve academic support at three Latin American universities. Br. J. Educ. Technol. 51, 973–1001 (2020)
Ortiz-Rojas, M., Maya, R., Jimenez, A., Hilliger, I., Chiluiza, K.: A step by step methodology for software design of a learning analytics tool in Latin America: a case study in Ecuador. In: Proceedings of the - 14th Latin American Conference on Learning Objects and Technologies, LACLO 2019, pp. 116–122 (2019)
Acknowledgements
This work was funded by the LALA project (grant no. 586120-EPP-1-2017-1-ES-EPPKA2-CBHE-JP). This project has been funded with support from the European Commission. This publication reflects only the views of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein. The authors would like to thank the student representatives who motivated this study—María José Marín and Cristóbal Chauriye. Their effort has motivated the design and implementation of student-facing dashboards at the engineering school in Pontificia Universidad Católica de Chile, leveraging the capacities already installed in this institution by means of the LALA project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Hilliger, I. et al. (2020). For Learners, with Learners: Identifying Indicators for an Academic Advising Dashboard for Students. In: Alario-Hoyos, C., Rodríguez-Triana, M.J., Scheffel, M., Arnedillo-Sánchez, I., Dennerlein, S.M. (eds) Addressing Global Challenges and Quality Education. EC-TEL 2020. Lecture Notes in Computer Science(), vol 12315. Springer, Cham. https://doi.org/10.1007/978-3-030-57717-9_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-57717-9_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57716-2
Online ISBN: 978-3-030-57717-9
eBook Packages: Computer ScienceComputer Science (R0)