Salt Lake City, Utah
June 23, 2018
June 23, 2018
July 27, 2018
Computers in Education
Academic advising impacts student pathways to graduation. There is much literature on the subject of advising and retention, which summatively concludes that college student success improves when college students are assisted to make progress toward educational and career goals; and when they are satisfied with the quality of educational programs, services, and environment. Recognizing that today’s students are digital citizens, this paper will focus on the rationale and implementation of the first stages of creating an adaptive advising system that takes into consideration the needs of today’s students. The system features customized streamlined strategies to engages students, and simply what is often a bewildering process from the students’ perspective.
Traditional advising models have oftentimes become unwieldy, as institutions increasingly become bureaucratic, unnecessarily increasing registration and counseling process complexity for students. These advising practices and systems have generally been constructed over a multitude of years, which are meant to guide students within their educational path; however, the reality of the current state of education requires new approaches to advising.
Many times, the traditional models have become merely procedural checkboxes that in essence have lost their connection to students; and no longer really connect advisors in a meaningful way with those students that they advise. AD-VISOR is a next-generation advising approach coupled with technology-backed systems being designed to pull the procedural advising process out of the way, set it aside through automation, and to refocus advising on the connection between students and advisor.
Students and advisors were surveyed to see how the new tool has changed the advising process focusing on the key metrics of changing the speed of procedural processes required to register, connectedness to advisors before and after the process changed, and meaningfulness of the conversations that took place prior to and after the new system was implemented. The results of implementation and impact on students is shared.
Pitcher, M. T., & Golding, P., & Espinoza, P. A., & Fernandez-Pena, C., & Arreola, C., & Gomez, H., & Lugo Nevarez, H. E., & Anaya, R. H., & Golding, D. E., & Oyler, K. M., & Fernandez, A., & Geller, H. E., & Jimenez, L. C., & Arreola, J., & Duenez, A. A., & Ayala, K. A. (2018, June), Meet AD-VISOR: An Adaptive Advising System for a 21st Century Student Demographic Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30803
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2018 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015