Lost in Translation: Information Asymmetry as a Barrier to Accrual of Transfer Student Capital

Objective: Transfer student capital (TSC) helps community college students realize the potential for the transfer pathway to serve as a lower-cost option to a bachelor's degree. However, students' accrual of TSC depends on the quality and quantity of information networks and infrastructure; information asymmetry in these networks can impede students' transfer progress. Methods: Using interview data from stakeholders who support engineering transfer students at one research university and two community college partners, we apply a methodology that combines qualitative coding techniques (i.e., descriptive, process, and evaluative coding) with network and pathway analyses to explore an information network for coursework transfer in engineering. Results: Our findings illustrate the disjointed and complex web of information sources that transfer students may use to accrue TSC. We highlight pathways fraught with information asymmetry as well as information sources and processes that give promise to students' ability to accrue TSC and successfully navigate transfer of coursework vertically. Conclusions: An abundance of information sources and paths does not equate to a better transfer system. Utilizing network analysis to visualize and evaluate information sources and processes provides an additional method for evaluating information systems for transfer. Consolidating information sources or improving processes linking information sources could improve inefficiencies in transfer students' transitions.

Automated summary

Transfer student capital (TSC) helps community college students realize the potential for a lower-cost option to a bachelor's degree through the transfer pathway. However, the quality and quantity of information networks and infrastructure affect the accrual of TSC, and information asymmetry can impede students' transfer progress. The study explored the information network for coursework transfer in engineering using qualitative coding techniques, network analysis, and pathway analysis. The findings highlighted the complex and disjointed web of information sources for TSC accrual, with both problematic and promising pathways. The study suggests that utilizing network analysis can enhance the evaluation and improvement of information systems for transfer.