Identifying Asymmetries in Web-based Transfer Student Information that is Believed to be Correct using Fully Integrated Mixed Methods

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Date
2019-12-04
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Virginia Tech
Abstract

Transfer between community colleges and four-year institutions has become more common as student mobility increases. Accordingly, the higher education system has coped with the fluidity by establishing articulation agreements that facilitate pathways from one institution to another. The forward-facing policies and guides to inform students on those pathways are known to be complicated, leading to the development of web-based tools like Transferology to help students navigate the system. Still, credit loss is common, whether through misunderstandings, lack of awareness, or changing degree plans. A proliferation of literature examines the experiences of transfer students and other agents in the process like community college advisors, but few pieces interrogate the underlying website structures that facilitate those experiences as the unit of analysis.

Information related to facilitating transfer from one institution to another is often fragmented across multiple webpages or policies and uses language not optimal for communicating with students – creating what are called "information asymmetries" between the students and institutions. The premise of an exchange having information asymmetries is that one or more parties in the exchange have more or better information than the others, leading to an imbalance in power. In the case of higher education, transfer students – and their advisors by extension – can be subjected to manipulation by the invisible hands of the four-year institutions through language gaps and scattered sources of information. Accordingly, this dissertation explored four-year university websites, a major point of contact students have with information on transfer, to address the following main research question: "How are information asymmetries in curricular policies/procedures apparent for engineering students on institutional webpages in terms of language and fragmentation?" The subsequent research question synthesized the results of the first question: "Looking across information asymmetry measures, what are the different narratives of information asymmetry that integrate themes of language and fragmentation across institutions?"

A fully integrated mixed methods design using all existing data was employed to address the two research questions. A stratified random sample was taken with respect to institution size based on their Carnegie classifications (n = 38). The collection of relevant public webpages based on a set of keywords from the sampled institutions was transformed into three network measures - hierarchy, centrality, and nonlinear – that were used in cluster analyses to group the institutions based on their information structures. Sequential mixed methods sampling was used to choose institutions purposefully from each cluster based on notable features recorded during the first stage of data collection. Two-cycle coding followed the cluster analysis by elaborating on the networks formed during data collection. I used joint displays to organize the networks and In-Vivo codes in the same picture and develop themes related to fragmentation and language simultaneously.

K-means and K-medoids cluster methods both produced the same four cluster solution illustrating one aspect of information asymmetries through fragmentation. The clustering solution highlighted four major network patterns, plus one cluster mixing two of the patterns: 1) linear browsing, 2) centralized expansive browsing, 3) branched browsing, and 4) mixed browsing. Further qualitative analysis of the sampled institutions revealed several types of missteps where information is obscured through language or dispersed in the network. I explored a subset of 16 institutions and identified four themes related to fragmentation (unlinked divergence, progressive disclosure, lack of uniformity, and neighborhood linking) and six themes related to language (hedging transferability and applicability, legalese handwaving, building rapport, exclusivity, deviance from common practice, and defining terms). The missteps were contextualized further using six narratives with institutional examples.

This work characterized the information design for transfer students as a messy web of loosely connected structures with language that complicates understanding. Integrated narratives illustrate a landscape of loosely coupled information structures that become more expansive as state initiatives interact with already existing local agreements. Moreover, institutional websites describing transfer processes use communication strategies similar to private companies writing online privacy policies. In light of the themes of information asymmetries, opportunities for supporting transfer were highlighted. For example, institutions are encouraged to create visual representations of the transfer credit process, ensure terms are defined upfront while minimizing jargon, and avoid linking to information that is easily summarizable on the current page.

This research would be of interest to institutions looking to improve the presentation of their transfer information by critically examining their designs for the missteps described here. In addition, engineering education practitioners and researchers studying transfer student pathways and experiences will find the results of interest – especially in considering how to support the students despite the large information gaps. Finally, those looking to implement a fully integrated mixed methods design or use existing/archival data in their own context will find the use of mixing strategies of interest.

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Keywords
Information asymmetry, transfer students, fully integrated mixed methods, policy, existing data, archival data, website design
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