Purpose: This study aimed to identify the main areas and features of student engagement at a university. The research also focuses on evaluating the main features of student engagement that can be used for profiling student motivation.
Methodology:The data for this study was gathered at the end of the spring semester of 2018 at the Warsaw University of Life Sciences (WULS), one of the largest life sciences universities in Poland, using an Internet-based instrument called Evolute. The data in this research consisted of self-evaluation responses from 242 undergraduate students on Master's and Bachelor's programs. The respondents filled out an online questionnaire. Findings: The results were presented in a three-stage analysis (descriptive statistics, a fuzzy logic-based method, and a clustering method for profiling student engagement). The results identified some key attributes of student engagement. The highest creative tension was noticed in student satisfaction, which reflects a gap in that area that could be improved by the university. The findings showed that highly motivated students presented high values in routinization and goal progress.
Practical implication:The proposed solution could be used for further profiling according to applied additional criteria, such as type, of course, year of education, lecturers, work experience, etc. Originality/value: The study findings hold essential theoretical and practical implications for educators and researchers seeking to understand how students evaluate their engagement and reveal the gaps in university committees.
This study was conducted to show a novel way to analyze organizational commitment and engagement levels in organizations and to compare the results of two Finnish organizations operating in the energy sector. Employees estimate the truth value of statements with regard to their own organization at a given moment in time. The employees also specify how they would like the situation represented by the statements to be in the future. In this study, we requested participation from a total of 90 senior salaried employees from two companies in the spring of 2014. In the end, we obtained 54 responses in total, giving us a response rate of 88% for Company A and 25% for Company B. On the basis of the responses, a collective understanding of each organization was first defined, and then a comparison was made between these two organizations. The results of these comparisons show that there are similarities between the companies, even though the degree of affective commitment was significantly higher in one of the companies. However, both companies had similar focus points and priorities in the current state, target state, and proactive vision. On the other hand, the study also discovered that there were major differences regarding some of the evaluated features, as expected. As a result of the analysis, important areas of development were observed in both companies.
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