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ABSTRACT In response to the COVID‐19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti‐COVID measures were in maintaining quality education. Using machine learning to analyse student grades as a proxy for educational standards, this study investigates and demonstrates the evaluative potential of machine learning (vs. traditional statistics) with respect to not only crisis responses in education but also applied studies such as Information Systems and Tourism. Main implication of this study is the analytical utility of machine learning even when educational data are irregular and small. However, incorporating accurate and meaningful data points into the existing online educational systems is crucial to leverage this utility of machine learning. [ABSTRACT FROM AUTHOR]

After the foundation of the Republic of Türkiye, the most important problems of the country were education and economic problems. The fact that most of the uneducated population lived in villages and that agriculture and animal husbandry, the main elements of the country's economy, were mainly conducted in rural areas created an opportunity for village institutes. The village institutes aimed to train prospective teachers as educators and well-rounded individuals who would set an example for the village community. For this reason, in addition to theoretical knowledge, students were given practical training in agriculture, animal husbandry, construction, health knowledge, carpentry, etc., based on scientific knowledge. Animal husbandry and animal food-production activities, part of this comprehensive education, were widely practiced in village institutes. In this way, both the students received a modern agricultural education, and the food resources of the institutes were provided. In this study, animal husbandry and animal food production activities in the village institutes, which were established in various regions of Türkiye and harboured an education system far beyond its period, were analysed and the aim was to provide information on this subject. In this review, we have analysed the animal husbandry and animal food production activities of the village institutes, a former educational institution in Türkiye. The ability of these institutions, which operated between 1940 and 1954, to create and sustain their resources in the face of shortages caused by World War II is noteworthy. The activities of these institutions, which are still spoken about both in their period and today, can be seen as an example for today's food and agricultural authorities. [ABSTRACT FROM AUTHOR]

Nowadays, the problem of university graduates being unemployed is gradually increasing. To keep down unemployment, universities are integrating the concept of "applied education" into their educational curricula. The concept of applied education brings with it the problem of the correct student-company matching. In this study, the company selection criteria were focused on to determine the companies that university students will be sent to within the scope of applied education. Company selection criteria are determined by experts in the field. However, the evaluation of experts with precise criteria values can be very challenging in the decision-making process. For this purpose, the criteria weights were calculated using the Pythagorean Fuzzy AHP method in this study. Evaluation of companies to which students will be matched for applied/workplace education is ranked with these fuzzy weights by using TOPSIS and PROMETHEE II methods. To evaluation the proposed decision process, a real case study is carried out in an industrial private university in Turkey. The case study results show that the proposed method can provide effective and consistent results in the evaluation of companies under fuzzy environment. [ABSTRACT FROM AUTHOR]

While colleges and universities keep providing more applied talents to the job market, they cannot ignore the importance of cultivating their employability and improving their employment efficiency and quality. This paper takes the regular college and junior college in Zhejiang as examples, and uses the DEA model to estimate the employment efficiency and job seeking efficiency of their graduate. The results of the model indicate that, for applied college students, their employment and job seeking efficiency is not at the optimal level. Through Tobit model regression, this paper further analyzes how other potential factors affect the employment efficiency and job seeking efficiency and the degrees of these impacts. The results show that: all the factors to employability investment and employment output can be the reasons for the low employment efficiency and job seeking efficiency of college students; the employment efficiency is easily affected by the family financial situation and is positively correlated to family social capital; and the job seeking efficiency is more susceptible to gender, number of practices and level of effort in job seeking. In the end, this paper proposes suggestions on how to improve the employability of college students from the perspective of education supply. [ABSTRACT FROM AUTHOR]

In the world and Turkey, various cooperation activities are carried out within the scope of universityindustry cooperation. The Applied education model, is at the beginning of these activities and this model aims to use the theoretical knowledge produced by universities in real world problems. In addition to this, it is expected that the students participating in the applied education program will progress positively on issues such as future decision, self-confidence, occupational self-efficacy and anxiety. In this study, Applied Engineering Experience Education (UMDE) program developed by the Faculty of Engineering of Sakarya University and first implemented in the Department of Industrial Engineering is explained. On the other hand, the difference between the students who participated and who did not participate in the UMDE program was investigated statistically. As a result of the study, it was determined that there is a statistically significant difference in the level of future decision, occupational self-efficacy and anxiety among the students who participated in and did not participate in the UMDE program. [ABSTRACT FROM AUTHOR]