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Conference Object Assessment of Online Exam System Perception in Covid-19 Pandemic Era(IADIS Press, 2021) Eryılmaz,M.; Genis-Gruber,A.The swift conversion of courses to online exams has labelled the recent Covid-19 pandemic era. In educational agenda, all educators in the globe have faced the obstacles of abrupt adoption of distance education learning methods. Although distance education methods have been exercised in the past decade, the usage was not common. The pandemic has brought not only the sudden transformation of education format, but also online security issues. The online exam solution in e-learning techniques, tools and adoption has been a popular topic to research. Recent literature review shows various analyzes in the field, however the outcome of the research proves that the challenges are similiar in the globe. The aim of this research is to determine the essential problems and develop solutions based on the students perception of online exams which became compulsorily transitioned during the pandemic process. The custom-made survey was conducted on 165 students to have an insight on their approach to e-learning and online exam. Descriptive statistics method is used to describe the features of the data in the study. © 2021Article A Prediction Study About the Pandemic Era Based on Machine Learning Methods(Auricle Global Society of Education and Research, 2021) Eryılmaz,M.; Eryılmaz, Meltem; Yalçınkaya,F.; Kara, Erdi; Ertan,Ö.; Kara,E.; Eryılmaz, Meltem; Kara, Erdi; Mathematics; Computer Engineering; Mathematics; Computer EngineeringCoronavirus pandemic has been going on since late 2019, millions of people died worldwide, vaccination has recently started in many countries and new strategies are sought by countries since they are still struggling to defeat the virus. So, this research is made to predict the possible ending time of the coronavirus pandemic in Turkey using data mining and statistical studies. Data mining is a computer science study that processes large amounts of data and produces new useful information. It is especially used to support decision making in companies today. So, this project could support the decision making of authorities in developing an effective strategy against the on-going pandemic. During the research we have practiced on Turkey’s coronavirus and vaccination data between 13 January 2021 and 28 May 2021. We used Rapidminer and the Random Forest method for data mining. After all the simulations we have applied and observed during our research, it was clearly seen that vaccination parameters were decreasing the new cases. Also, the stringency index did not affect the new cases. As a conclusion of our research and observations, we think that the government should vaccinate as many people as it can in order to relax restrictions for the last time. © 2021 Authors. All rights reserved.
