JISARA

Abstract: In the demanding environment of academic advising, faculty members face the significant challenge of assisting students with course selection and graduation planning within a tight timeframe. This paper presents a novel application of automation technology, termed Auto-Course Selection, which dramatically accelerates this process. Traditionally, constructing a tailored, error-free course and graduation plan for each student requires approximately 15 minutes, excluding further communications. The Auto-Course Selection system reduces this time to an impressive 30 seconds per student by automating the evaluation of prerequisites, checking course availability, resolving scheduling conflicts, and ensuring alignment with graduation timelines. This study details the development and operational deployment of the system, emphasizing the methodology for data acquisition, the architecture of the data structures, the logic underpinning the course recommendation algorithm, and the overall feasibility of the project. Our results indicate a thirty-fold increase in efficiency, providing a scalable and reliable solution that substantially eases the advising burden on faculty, particularly those managing large cohorts, and minimizes the potential for human error.

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Recommended Citation: Li, Z., Yuan, J., Nobel, A., (2025). Thirty-time Speed-up for Course Selecting by Using the Power of Machine. Journal of Information Systems Applied Research and Analytics 18(3) pp 30-43. https://doi.org/10.62273/JOQP7724