Skip to main content

An Enrollment Dashboard to Reinforce Decision-Making for Students and Advisors

  • Conference paper
  • First Online:
Responsive and Sustainable Educational Futures (EC-TEL 2023)

Abstract

Over the past years, there has been a significant increase in the number of students attending online courses in higher education, in some cases due to the COVID-19 pandemic. Online higher education provides greater flexibility in selecting courses in the preferred order, but it also presents challenges due to the amount of different combinations during the enrollment process. In this paper, we describe a dashboard for supporting enrollment in higher education using a map as a visual metaphor, in order to provide students and their advisors with a clear overview of their situation within the degree, and help them to make better decisions. The enrollment dashboard has been evaluated through an initial series of interviews with advisors, which showed positive results in terms of usability and usefulness. However, several concerns were raised about the parameters used to create the map. These results will be used in future rounds of interviews with students and advisors.

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 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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. 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). Conference Name: IEEE Transactions on Learning Technologies https://doi.org/10.1109/TLT.2017.2740172

  2. Duval, E.: Attention please! learning analytics for visualization and recommendation. In: Proceedings of the 1st International Conference on Learning Analytics and Knowledge, LAK 2011, pp. 9–17. Association for Computing Machinery, New York (2011). https://doi.org/10.1145/2090116.2090118

  3. Karga, S., Satratzemi, M.: Using explanations for recommender systems in learning design settings to enhance teachers’ acceptance and perceived experience. Educ. Inf. Technol. 24(5), 2953–2974 (2019). https://doi.org/10.1007/s10639-019-09909-z

    Article  Google Scholar 

  4. Ma, B., Lu, M., Taniguchi, Y., Konomi, S.: CourseQ: the impact of visual and interactive course recommendation in university environments. Res. Pract. Technol. Enhanc. Learn. 16(1), 18 (2021). https://doi.org/10.1186/s41039-021-00167-7

    Article  Google Scholar 

  5. Maphosa, M., Doorsamy, W., Paul, B.: A review of recommender systems for choosing elective courses. Int. J.Adv. Comput. Sci. Appl. 11(9) (2020). https://doi.org/10.14569/IJACSA.2020.0110933

  6. Maphosa, V., Maphosa, M.: Fifteen years of recommender systems research in higher education: current trends and future direction. Appl. Artif. Intell. 37(1), 2175106 (2023). https://doi.org/10.1080/08839514.2023.2175106

    Article  Google Scholar 

  7. Minguillón, J., Rivas, N., Chacón, J.: Supporting enrollment in higher education through a visual recommendation system. In: Artificial Intelligence Research and Development: Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence, vol. 339, p. 177. IOS Press (2021). https://doi.org/10.3233/FAIA210131

  8. Othman, M.H., Mohamad, N., Barom, M.N.: Students’ decision making in class selection and enrolment. Int. J. Educ. Manage. 33(4), 587–603 (2019). Publisher: Emerald Publishing Limited https://doi.org/10.1108/IJEM-06-2017-0143

  9. Rivas, N., Minguillón, J., Chacón, J.: Enrolling habits in higher education. what sources of information do students have and what are missing? In: INTED2021 Proceedings, pp. 4980–4988. 15th Int. Technology, Education and Development Conf, IATED (8–9 March, 2021 2021). https://doi.org/10.21125/inted.2021.1025

  10. Schwendimann, B.A., Rodriguez-Triana, M.J., Vozniuk, A., Prieto, L.P., Boroujeni, M.S., Holzer, A., Gillet, D., Dillenbourg, P.: Perceiving learning at a glance: a systematic literature review of learning dashboard research. IEEE Trans. Learn. Technol. 10(1), 30–41 (2016). https://doi.org/10.1109/TLT.2016.2599522

    Article  Google Scholar 

  11. Scott, M., Savage, D.A.: Lemons in the university: asymmetric information, academic shopping and subject selection. High. Educ. Res. Dev. 41(4), 1247–1261 (2022). https://doi.org/10.1080/07294360.2021.1887094

    Article  Google Scholar 

  12. Stevens, M., Harrison, M., Thompson, M.E., Lifschitz, A., Chaturapruek, S.: Choices, identities, paths: Understanding college students’ academic decisions (2018). https://doi.org/10.2139/ssrn.3162429

  13. Wladis, C., Wladis, K., Hachey, A.C.: The role of enrollment choice in online education: Course selection rationale and course difficulty as factors affecting retention. Online Learn. 18(3) (2014). https://eric.ed.gov/?id=EJ1043163, publisher: Online Learning Consortium, Inc ERIC Number: EJ1043163

  14. Zhang, M., Ma, J., Liu, Z., Sun, J., Silva, T.: A research analytics framework-supported recommendation approach for supervisor selection. Br. J. Edu. Technol. 47(2), 403–420 (2016). https://doi.org/10.1111/bjet.12244

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Julià Minguillón .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rivas, N., Minguillón, J., Chacón-Pérez, J. (2023). An Enrollment Dashboard to Reinforce Decision-Making for Students and Advisors. In: Viberg, O., Jivet, I., Muñoz-Merino, P., Perifanou, M., Papathoma, T. (eds) Responsive and Sustainable Educational Futures. EC-TEL 2023. Lecture Notes in Computer Science, vol 14200. Springer, Cham. https://doi.org/10.1007/978-3-031-42682-7_71

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-42682-7_71

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42681-0

  • Online ISBN: 978-3-031-42682-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics