Potential recruit sues after assault during campus visit

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.

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Factors Affecting Students’ Choice for MBA Program in Kuwait Universities

International Journal of Business and Management ◽

10.5539/ijbm.v11n3p119 ◽

2016 ◽

Vol 11 (3) ◽

pp. 119 ◽

Cited By ~ 2

Author(s):

Abdullah AL-Mutairi ◽

Muna Saeid

Keyword(s):

Sources Of Information ◽

Mba Programs ◽

Factors Affecting ◽

Knowledge And Skills ◽

University Websites ◽

Mba Program ◽

Campus Visit ◽

Admission Requirements ◽

Structured Questionnaire ◽

Made In

The attempt is made in this study to identify students’ motives and reasons behind enrolling in a MBA program offered by universities operating in Kuwait. It also explores criterion used to select the program. To achieve these objectives, data were collected through a well-designed and structured questionnaire and pre-testing was carried out to examine the efficiency of the instrument. The study showed that the main reasons behind selecting the MBA program by students are to satisfy their personal concerns and improve their knowledge and skills. Moreover, the students used program alumni and campus visit as main sources of information followed by friends’ suggestions and university websites. When evaluating the MBA programs, the students cited overseas accreditation as the most used criteria followed by faculty reputation, institution reputation and admission requirements.

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Predictive analytics of university student intake using supervised methods

IAES International Journal of Artificial Intelligence (IJ-AI) ◽

10.11591/ijai.v8.i4.pp367-374 ◽

2019 ◽

Vol 8 (4) ◽

pp. 367

Author(s):

Muhammad Yunus Iqbal Basheer ◽

Sofianita Mutalib ◽

Nurzeatul Hamimah Abdul Hamid ◽

Shuzlina Abdul-Rahman ◽

Ariff Md Ab Malik

Keyword(s):

Nearest Neighbor ◽

Predictive Analytics ◽

University Student ◽

K Nearest Neighbor ◽

Application Form ◽

University Campuses ◽

Campus Visit ◽

Huge Impact ◽

Supervised Methods ◽

Future Outcomes

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.

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Understanding University Choice Decisions of Turkish Students

Advances in Logistics, Operations, and Management Science - Handbook of Research on Contemporary Approaches in Management and Organizational Strategy ◽

10.4018/978-1-5225-6301-3.ch024 ◽

2019 ◽

pp. 508-537

Author(s):

Selin Kucukkancabas Esen

Keyword(s):

Positive Relationship ◽

Information Sources ◽

Behavioral Responses ◽

Personal Characteristics ◽

University Choice ◽

Campus Visit ◽

Students Attitudes ◽

The University ◽

The Relationship ◽

Choice Literature

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.

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