Smartphone GPS Locations of Students’ Movements to and from Campus

For many university students, commuting to and from campus constitutes a large proportion of their daily movement, and therefore it may influence their ability and willingness to spend time on campus or to participate in campus activities. To assess student engagement on campus, we collected smartphone GPS location histories from volunteers (n = 280) attending university in a major Canadian city. We investigated how campus visit length and frequency were related to characteristics of the commute using Bayesian regression models. Slower commutes and commutes over longer distances were associated with more time spent but less frequent visits to campus. Our results demonstrate that exposure to campus life, and therefore the potential for student engagement, may relate not just to whether a student lives on or near campus, but also to urban environmental factors that interact to influence the commuting experience.

Predictive analytics of university student intake using supervised methods

Predictive analytics extract important factors and patterns from historical data to predict future outcomes. This paper presents predictive analytics of university student intake using supervised methods. Every year, universities face a lot of academic offer rejection by the applicants. Hence, this research aims to predict student acceptance and rejection towards academic offer given by a university using supervised methods subject to past student intake data. To solve this problem, a lot of past studies had been reviewed starting from nineties era till now. From the analysis, two algorithms had been selected namely Decision Tree and k Nearest Neighbor. The dataset of past student intake was obtained with fifteen attributes, which are applicants’ gender, applicants studied stream during <em>Sijil Peperiksaan Malaysia</em>(SPM), university campuses, applicants’ hometown, disability, campus visit, course choice order in application form, applicant’s six SPM subjects result, orphan and status of acceptance. Several experiments were implemented to find the best model to predict the student’s offer acceptance by evaluating the model accuracy. Both models yield best accuracy at 66 percent with the selected attributes. This research gives a huge impact in selecting which applicants is suitable to be offered as well as adapting the university’s academic offering process in much intelligence way in the future.

The silent but powerful communication of the physical environment of Nkozi campus of Uganda Martyrs University

The purpose of this research was to find out what Uganda Martyrs University students think about the physical environment of the Nkozi campus, which is the main campus of the university with a view to find out if that factor can be used to market the university. Two sets of examination papers (one for second year and the other for first year students) were identified from the registry archives of the university because of their relevance to the topic of research. Initially, there was no certainty about the contents of these documents, but the titles of the pieces of work were suggestive enough to qualify them for selection. The documents were analysed using thematic analysis procedures. The findings indicate that most of the students have positive things to say about the beauty of their campus. In terms of student university selection process, the information found is very useful for Uganda Martyrs University in developing a marketing strategy that can be extended as far as senior one students. Since campus visits have been found to attract many students to specific universities, Uganda Martyrs University could develop a campus visit programme in which parents, potential students and other interested persons can experience the beauty of Nkozi campus. The current students could also be used to advertise the university since they know what the university can offer apart from the beautiful campus. It is recommended that Uganda Martyrs University develop a marketing strategy that has campus visits on top of the list of strategies to be adopted in increasing student intake.

Understanding University Choice Decisions of Turkish Students

This chapter is designed to provide insights as to how different elements of university characteristics, campus visit, information sources, and students' personal characteristics influence their university behaviors directly and indirectly through their effects on university-related attitudes. Proposed relationships are tested with data collected from 421 respondents through structured questionnaires. This study enriches the university choice literature by investigating the effects of various university choice factors on both attitudinal and behavioral responses. As expected, it is found that while controlling other factors there is a positive relationship between students' attitudes toward university and preference for a university. Results provide evidence that some factors have a significant effect only on students' attitudinal responses, while some have a significant effect on behavioral responses. Unexpectedly, campus visit does not act as a moderator in the relationship between university perceptions and attitude toward university.