Method of Teaching Using Data-Driven Recommendation Systems to Improve IT Graduate Career Placement

Abstract

Effectively integrating IT graduates into the labour force plays an important role in the dynamically developing information technology (IT) field. A proposed algorithm has been presented under the scope of this study to assess performance academically in fundamental courses and guide students toward areas of qualification. IT graduates of the future shall have the advantage of selecting five areas of qualification—software development, business process management, information security, IT infrastructure, and data analysis—thanks to the introduction of this option. IT graduates of the future shall have the capacity to transform skill sets and career goals by utilizing the proposed algorithm. Companies offering opportunities on the labour market also get to select the future specialist whom they require by considering the algorithm established while carrying out this study, which takes into account the performance of the student in university units, specialisations, and general courses. The system established while carrying out this study processes information from a student's transcript, including the performance rate in central areas, by utilizing the Euclidean distance formula. Then, it chooses the performance rate of students who had excellent performance in past general courses and recommends a list of applicants who must continue to the specialized field. The practicality and efficiency of the recommendation algorithm offer an exceptional way by which IT graduates' competitiveness and work opportunities can be enhanced during the modern period