Weight Determination for Online Learning Problems of First-to-Third-Year University Students in Covid-19 Pandemics Using Analytical Hierarchy Process
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Abstract
This research aims to study, determine, and prioritize the problems affecting synchronous online learning in the COVID-19 pandemic by applying the principles of the ฤAnalytic Hierarchy Process (AHP), starting from the collection and grouping of online learning problems individually through in-depth interviews with students. The population used in this research during the closed-ended questionnaire was engineering students, 1st-3rd year at the university. Researchers found that the weights of the AHP online learning problems in 1st-3rd year students can be arranged in order of the most important to the least important as follows: the first place was the problem that students cannot do practical experiments; the second was the physical and mental stress; the third was a large amount of work and a short exam time; the fourth was inadequate equipment and internet signal; and the last place was the unfavorable environment. As a result of such a ranking, the responsible people should take on the problem and find solutions in the future. It will be useful for students to study during the next crisis situation.
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