Informed Self-Placement: A Case Study of the Florida College System.
Saved in:
| Title: | Informed Self-Placement: A Case Study of the Florida College System. |
|---|---|
| Authors: | Nix, Amanda N.1 anix@fsu.edu, Hu, Shouping2 |
| Source: | Innovative Higher Education. Aug2025, Vol. 50 Issue 4, p1335-1353. 19p. |
| Subject Terms: | *Student assignments, *Ability grouping (Education), *Scholarships, *Academic achievement |
| Geographic Terms: | Florida |
| Abstract: | Traditional college advising, whereby advisors provide course assignments according to standardized placement test scores, has undergone major transformation in recent years. New placement models, like "informed self-placement" based on multiple measures of documented student achievement, are growing in popularity but remain understudied. To address this gap in scholarship, we took advantage of a unique opportunity presented by statewide reform in Florida to explore how Florida College System advisors described the implementation of informed self-placement and multiple measures between 2014 and 2019, paying special attention to emergent challenges and corresponding solutions. Our findings, drawn from the perspectives of 275 advisors representing 19 different institutions shared during semi-structured focus group sessions, revealed that advisors used a combination of high school experiences, non-cognitive factors, and continued placement testing to inform course recommendations that students could then choose to act upon or ignore when registering for their classes. We also observed several challenges (i.e., increased workload, insufficient information, and student resistance) that advisors managed through group advising, advanced preparation, and self-diagnostic tools. [ABSTRACT FROM AUTHOR] |
| Copyright of Innovative Higher Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | Traditional college advising, whereby advisors provide course assignments according to standardized placement test scores, has undergone major transformation in recent years. New placement models, like "informed self-placement" based on multiple measures of documented student achievement, are growing in popularity but remain understudied. To address this gap in scholarship, we took advantage of a unique opportunity presented by statewide reform in Florida to explore how Florida College System advisors described the implementation of informed self-placement and multiple measures between 2014 and 2019, paying special attention to emergent challenges and corresponding solutions. Our findings, drawn from the perspectives of 275 advisors representing 19 different institutions shared during semi-structured focus group sessions, revealed that advisors used a combination of high school experiences, non-cognitive factors, and continued placement testing to inform course recommendations that students could then choose to act upon or ignore when registering for their classes. We also observed several challenges (i.e., increased workload, insufficient information, and student resistance) that advisors managed through group advising, advanced preparation, and self-diagnostic tools. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 07425627 |
| DOI: | 10.1007/s10755-024-09777-7 |
