Assessment factors affecting e-learning using fuzzy analytic hierarchy process and SWARA

• Autores: Hakan Turan
• Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 34, no. Extra 3, 2018, págs. 915-923
• Idioma: inglés
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• Resumen

  • The importance of distance education has increased due to its many advantages. At the same time, apart from universityeducation, distance education also allows oneself to develop in different subjects. This work examines a distance educationstudy conducted at a university in Turkey. The Department of Industrial Engineering was selected for this study. E-learning applications for industrial engineering education are seen to be extremely efficient, especially since they do notrequire laboratory applications. The Faculty of Engineering, which aims to obtain a higher quality education of studentswho receive industrial engineering training through e-learning, has evaluated related software companies in this regard.The infrastructure of the program has been determined as online and recorded broadcasting. Web-based training has beencarried out by creating wide communication networks. This study explores in detail the necessary requirements for thesuccessful execution of distance education in industrial engineering. In addition, it has benefited from the work undertakenin the past in order to determine the assessment factors. These assessment factors consist of five main factors and twenty-four sub-factors. These assessment factors have been established in line with the opinions of the people who constitute theinfrastructure of this study. These past evaluations were usually made subjectively. Subjective evaluations often causemisinterpretation of results. This study applies both analytic hierarchy process (AHP) and step-wise weight assessmentratio analysis (SWARA) methods, both of which are multiple criteria decision-making methods. Consistency ratios arecalculated to determine whether comparisons are consistent for the AHP method. In addition, the AHP method isdiscussed together with fuzzy logic to make the study more realistic. Due to the ease of application and common use,triangular fuzzy numbers are preferred as a fuzzy method. The results are validated by the SWARA method, which is usedto weight the criteria. The purpose of this study is to weight the assessment factors affecting e-learning technology by usingfuzzy AHP and SWARA methods. Thus, the study illustrates that multi-criteria decision-making methods can be used in e-learning applications to evaluate many factors.