June 14, 2015
June 14, 2015
June 17, 2015
Computers in Education
26.1773.1 - 26.1773.14
Student Dashboard for a Multi-agent Approach for Academic AdvisingThe objective of this work is to demonstrate a mechanism to improve the advising of students ina nontraditional environment. Minority Serving Institutions, Commuter Campus and institutionswith a high percentage of student transfers are unable to keep a tightly controlled cohort ofstudents progressing through the curriculum. Students usually have varied course loads anddifferent priorities due to family, financial need or other responsibilities. Therefore, they need anindividualized approach to advising.The school administration faces more challenges scheduling courses and allocating diminishingresources to satisfy the student demand. In addition, the faculty needs to assess the efficacy ofthe curriculum in a program and collecting longitudinal student data is difficult.We are proposing the application of a multi-agent approach to allow the students to take morecontrol over their individualized advising. In this context, the student tool becomes an agent andthe school provides the environment with a desirable behavior for the system. We call theacademic control objective the “Operator.”This paper focuses on the agent system by building a simple dashboard tool that will collectstudents’ information about their progress through the curriculum in a program and will generateadvising recommendations. The agent logic employs principles used in project management toolsdesigned to help the students complete their degree plan sooner. For example it would provide avisualization map of course sequences, customized for each student, making advisingadjustments that will optimize the time to obtain the degree under a constrained set of resources.At the same time, the agent system provides feedback to the Operator.The second tool will be the Operator dashboard that will consolidate the collected data from theagents through several semesters (historical data) plus the predicted effects of the recommendedplans. This should enable a better resource allocation and deeper analysis of the curriculumeffectiveness. This tool is still under development.Previous work has presented some limited insight into the multi-agent approach or the criticalpath methods. However the proliferation of mobile devices and cloud computing enables a largerscale application of the proposed methodology.
Gonzalez, V. E., & Perez, O. A. (2015, June), Work-in-Progress: Student Dashboard for a Multi-agent Approach for Academic Advising Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.25109
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