Data-Driven Approach to Curriculum Analysis
https://doi.org/10.15514/ISPRAS-2024-36(2)-7
Abstract
The choice of an educational program is momentous in young people's lives. Given the shortage of time after exams, applicants usually do not have time to analyze possible educational tracks. Furthermore, it requires a thorough study of learning plans. This research addresses the problem proposing the algorithm to data-driven curriculum analysis based on natural language processing of course names or competences listed in learning plans. Moreover, the intelligent software system architecture is described. The method is tested on the curricula scraped from university websites. In order to store the content a data warehouse has been developed. At this time, there are few studies on this topic. The existing ones are either on the early stages of development or scarce on implementation details. They are briefly discussed in this paper.
About the Authors
Iuri NASU
HSE University
Russian Federation
Russian Federation
Alumnus of National Research University – Higher School of Economics (HSE University, Perm), educational program “Software Engineering”. Research interests: applied and computational linear algebra, natural language processing, systems analysis.
Mikhail Sergeevich DROBININ
HSE University
Russian Federation
Russian Federation
Alumnus of National Research University – Higher School of Economics (HSE University, Perm), educational program “Software Engineering”. Research interests: software design and architecture, object-oriented-programming.
Mark Stanislavovich EFANOV
HSE University
Russian Federation
Russian Federation
Alumnus of National Research University – Higher School of Economics (HSE University, Perm), educational program “Software Engineering”. Research interests: business intelligence, systems analysis.
Viacheslav Vladimirovich LANIN
HSE University
Russian Federation
Russian Federation
Senior Lecturer of the Department of Information Technologies in Business of the National Research University – Higher School of Economics (HSE University, Perm Branch). Research interests: modeling languages, domain specific modeling, language toolkits, CASE tools, simulation systems.
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Review
For citations:
NASU I., DROBININ M.S., EFANOV M.S., LANIN V.V. Data-Driven Approach to Curriculum Analysis. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2024;36(2):83-90. https://doi.org/10.15514/ISPRAS-2024-36(2)-7
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