This paper presents the simulated results of four different scenarios from an ABM to understand the effect of utilization of Alert and Recommender systems on graduation rate. Academic advising help students to enhance their academic performance, and it is also one of the critical aspects of judging institutional effectiveness. For evaluating the effectiveness, college graduation rates are calculated for every scenario, and then they are compared with the baseline scenario. This objective is achieved by using details of SAT scores and core courses of the Department of Physics and Astronomy at a large public university. The prime focus of the paper is to model the impact of the system, which, in reality, helps to save time and cost. The preliminary results show that the Alert and Recommender system could have a positive impact on graduation rates.
CITATION STYLE
Kulkarni, A., & Eagle, M. (2020). Estimating Effects of the Decision Support System on Educational Agents with Simulations. In Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.22360/SpringSim.2020.ANSS.002
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