Wrap-around support via a directed self placement model: A treatment for SLAC writing programs

In this paper, two WPAs at small and highly selective liberal arts colleges (SLACs) discuss the process of developing and implementing a “wrap-around” directed self placement (DSP) model. Beginning with a braided narrative, the authors discuss the impetus for the DSP, its impact on course placement, as well as using DSP data to create robust support plans for individual students. Of course, given the elite nature of the authors’ institutions, we also discuss how to apply a DSP model in a competitive and highly selective context where there are few, if any, developmental courses. Here, we offer possibilities for DSPs at SLACs that include retention and persistence tracking, as well as tracing self-efficacy by disciplinary specialization (i.e., STEM). We end by sharing our instruments and guidance on how SLAC WPAs can use DSP in novel and more comprehensive ways.

Authors

Publication Details

Journal
Journal of writing assessment
Published
2025-04-09
DOI
https://doi.org/10.5070/w4jwa.1564
Primary Topic
Writing and Handwriting Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wrap-around support via a directed self placement model: A treatment for SLAC writing programs

Genie Giaimo, Kristina Reardon
Journal of writing assessment
Writing and Handwriting Education
article

Wrap-around support via a directed self placement model: A treatment for SLAC writing programs

Genie Giaimo, Kristina Reardon
article en

Abstract

In this paper, two WPAs at small and highly selective liberal arts colleges (SLACs) discuss the process of developing and implementing a “wrap-around” directed self placement (DSP) model. Beginning with a braided narrative, the authors discuss the impetus for the DSP, its impact on course placement, as well as using DSP data to create robust support plans for individual students. Of course, given the elite nature of the authors’ institutions, we also discuss how to apply a DSP model in a competitive and highly selective context where there are few, if any, developmental courses. Here, we offer possibilities for DSPs at SLACs that include retention and persistence tracking, as well as tracing self-efficacy by disciplinary specialization (i.e., STEM). We end by sharing our instruments and guidance on how SLAC WPAs can use DSP in novel and more comprehensive ways.

Journal of writing assessmentVol. 18(1)
Openalex Percentile: Top 93%
Writing and Handwriting Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.