RATING OF ACADEMICS' PERCEPTIONS OF DISTANCE EDUCATION SYSTEM FACTORS BY AHP METHOD: THE CASE OF GIRESUN UNIVERSITY

Authors

DOI:

https://doi.org/10.31567/ssd.667

Keywords:

Education, Distance Education, Academic Perception, AHP

Abstract

With the development of technology and communication opportunities, educational activities are
diversified with the aim of spreading education to wider masses. In this context, it is known that
internet-based education has become widespread in the last ten years. Especially with the pandemic
process being effective all over the world, there have been developments in distance education
activities and practices. The distance education system, which has become widespread throughout
the world, has become an ongoing process after the pandemic process. The aim of the study is to
reveal the grading of the perception factors of distance education on academicians working and
teaching at universities. It is important to rank which of the main factors revealed by this system are
taken into account by academics, in terms of revealing the problems or advantages in the system.
Thus, the improvement of the distance education system will lead to both university education and
high school education. In this context, the Analytical Hierarchy Process (AHP), which is one of the
multi-criteria decision-making methods, was used in the study. The study was applied to 20
academicians who were teaching at Giresun University, the data were collected using the AHP
method and Super Decision V.3.2. obtained with the program. It has been determined that the most
important factor in the distance education system is "lack of infrastructure" (0,2789). It has been
concluded that the other important factors are "Inefficient Lessons, Cost Savings, Exam Problems,
Lack of Communication, Time Saving and Easy Access", respectively.

Published

2022-07-15

How to Cite

AKYURT, H., & ÜLTAY , E. (2022). RATING OF ACADEMICS’ PERCEPTIONS OF DISTANCE EDUCATION SYSTEM FACTORS BY AHP METHOD: THE CASE OF GIRESUN UNIVERSITY . SSD Journal, 7(32), 42–56. https://doi.org/10.31567/ssd.667

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