Adaptive Network Based Fuzzy Inference System and the Future of Employability

Saada Abdel Gawad Khadragy, Sherief Abdallah


Educational data is considered by researchers and data scientists as an indicator for the future predictions. The current research study aims for classifying IT alumni students into employed and unemployed. The data collected from two universities in Jordan. 781 of IT alumni students in two universities in Jordan participate in the current study. Three classifiers are compared to determine the most suitable one for predicting the future of IT students’ employability. The results show that Adaptive Network Based Fuzzy Inference System came as a suitable classifier for predicting IT students’ employment in Jordan. As gender, programming skills, and communication skills came as the most effective factors affecting IT recruitment field, a set of recommendations is presented to the ministry of higher education based on the significant factors affecting IT graduates employment.

Keywords: employability, ANFIS, classification, data mining

DOI: 10.7176/NCS/12-04

Publication date: January 31st 2021

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ISSN (Paper)2224-610X ISSN (Online)2225-0603

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