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Computer Science > Human-Computer Interaction

arXiv:2308.14411 (cs)
[Submitted on 28 Aug 2023 (v1), last revised 8 Jul 2024 (this version, v4)]

Title:Community College Articulation Agreement Websites: Students' Suggestions for New Academic Advising Software Features

Authors:David V. Nguyen, Shayan Doroudi, Daniel A. Epstein
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Abstract:Articulation agreements provide more transparency about how community college courses will transfer and fulfill university requirements. However, the literature displays conflicting results on whether articulation agreements improve transfer-related outcomes; perhaps one contributor to these conflicting research results is the subpar user experience of articulation agreement reports and the websites that host them. Accordingly, we surveyed and interviewed California community college transfer students to gather their suggestions for new academic-advising-related software features for the ASSIST website. ASSIST is California's official centralized repository of articulation agreement reports between public California community colleges and universities. We analyzed the open-ended survey and interview data using structural coding and thematic analysis. We identified four themes around students' software feature suggestions for ASSIST: (a) features that automate laborious academic advising tasks, (b) features to reduce ambiguity with articulation agreements, (c) features to mitigate mistakes in term-by-term course planning, and (d) features to facilitate online advising from advisors and student peers.
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2308.14411 [cs.HC]
  (or arXiv:2308.14411v4 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2308.14411
Journal reference: Community College Journal of Research and Practice (2024)
Related DOI: https://doi.org/10.1080/10668926.2024.2356330

Submission history

From: David Nguyen [view email]
[v1] Mon, 28 Aug 2023 08:50:09 UTC (394 KB)
[v2] Mon, 11 Dec 2023 05:45:20 UTC (420 KB)
[v3] Tue, 30 Apr 2024 22:40:11 UTC (420 KB)
[v4] Mon, 8 Jul 2024 06:22:27 UTC (398 KB)
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