A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Higher education space management through user-centric data analytics
This study aims to investigate critical spatial factors that may affect the utilization rate of graduate student study space in higher education institutions (HEI). It is anticipated that the results of this study could promote research productivity by more effectively engaging research space dedicated to graduate students.
A comparative quantitative analysis based on survey results was implemented. The quantitative study compares the results of Department A of the university under study with other departments on the same campus. Logistic regression is used for quantitative translation of the categorical data.
Noise level and furniture quality (both for comfort and layout design) are almost equally the most significant factors for attracting graduate students to study lounges. Based on the results from this study, with quality improvements of noise level or furniture, the probability of user occupancy rates in graduate lounges would triple.
Being a case study, the quantitative results are only applicable to the one university studied. However, the significance of noise and furniture quality as the prime factors for successful graduate study lounges could be bolstered with findings from other case studies around the nation and the world.
This study attempts to pay close attention to graduate lounge spaces within HEI. With the rising pressure on universities to offer greater benefits with the same space assets, this study helps facility managers create more efficient spaces at universities tailored for the modern style of education.
Higher education space management through user-centric data analytics
This study aims to investigate critical spatial factors that may affect the utilization rate of graduate student study space in higher education institutions (HEI). It is anticipated that the results of this study could promote research productivity by more effectively engaging research space dedicated to graduate students.
A comparative quantitative analysis based on survey results was implemented. The quantitative study compares the results of Department A of the university under study with other departments on the same campus. Logistic regression is used for quantitative translation of the categorical data.
Noise level and furniture quality (both for comfort and layout design) are almost equally the most significant factors for attracting graduate students to study lounges. Based on the results from this study, with quality improvements of noise level or furniture, the probability of user occupancy rates in graduate lounges would triple.
Being a case study, the quantitative results are only applicable to the one university studied. However, the significance of noise and furniture quality as the prime factors for successful graduate study lounges could be bolstered with findings from other case studies around the nation and the world.
This study attempts to pay close attention to graduate lounge spaces within HEI. With the rising pressure on universities to offer greater benefits with the same space assets, this study helps facility managers create more efficient spaces at universities tailored for the modern style of education.
Higher education space management through user-centric data analytics
Lavy, Sarel (author) / Daneshpour, Elmira (author) / Choi, Kunhee (author)
Facilities ; 38 ; 346-364
2019-11-27
1 pages
Article (Journal)
Electronic Resource
English
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