Campus Setting Research Articles

Managing Green Space to Achieve Sustainability of Infrastructure at IPB University

IPB University, Indonesia, has 18 campuses and is designed as a sustainable university. With a total area of 1669 Ha, IPB University has been beneficial in managing the massive area of campus site infrastructure. Managing the infrastructure development that considers the open space, including the forests, planted vegetation, and the ground surface for water absorption, is essential to achieve the sustainability of the infrastructure at IPB University. This paper presents the lessons learned from IPB University's campus setting in managing infrastructure development, focusing on developing open space, forests, and planted vegetation. Managing infrastructure development on campus to support the increasing number of students and the development of education, research, and campus activities faces various challenges. For this, IPB University provides a master plan as a policy and control system to ensure that all developed infrastructure has the goal of supporting campus activities and is highly considered for the sustainability of open spaces on campus.

Exploring the Link Between Social Media Engagement, Social Anxiety, and Environmental Preferences in University Students

As mental health issues become increasingly prominent, social anxiety is prevalent among university students and significantly affects their social behaviors and environmental preferences. With the increasing reliance on social media, understanding how these behaviors shape preferences for physical social environments is crucial for designing supportive campus spaces. This study investigates the relationship between social anxiety, social media usage, and environmental preferences in campus settings. We aim to identify the key environmental factors that can promote healthier social interactions for students with varying levels of social anxiety and social media use. Data were collected from university students through a structured questionnaire assessing demographic characteristics, online and offline behavior, social media usage intensity, social anxiety level, and environmental preferences. Using K-means clustering, participants were grouped into four clusters based on their social media usage and social anxiety levels. ANOVA and Multivariate Multiple Regression (MMR) were conducted to examine differences in environmental preferences across these clusters. Significant differences in environmental preferences were observed across the four clusters. Gender and grade influenced social anxiety levels, with females and undergraduate students reporting greater anxiety. Individuals with high social media use, regardless of their anxiety levels, generally exhibited stronger preferences for various environmental dimensions, including openness, convenience, facility provision, safety/comfort, and cultural landscape. However, individuals with higher social anxiety tended to prefer enclosed, facility-rich, and more controlled environments. The relationship between social anxiety and preferences for convenience, safety/comfort, and cultural landscape was minimal or non-significant. This study highlights the importance of considering both behavioral and psychological factors when designing university social environments. By identifying specific environmental preferences of students with high social anxiety, the findings offer evidence-based recommendations for creating more inclusive and supportive campus spaces that promote positive social interactions and well-being.

Development of a mobile application to increase motivation, engagement & teaching activity of clinical faculty using gamification principles

Background: Clinician teachers (CT) have historically felt undervalued and underappreciated. One technology used to increase motivation is gamification: the process of inserting elements of game-playing into activities that are not usually associated with games. We developed a mobile application that rewards CTs using in-app gamification techniques to increase CTs motivation. This program was implemented specifically in a regional campus setting, Mississauga, Ontario. Methods: A cross-platform application that rewards physicians for their clinical teaching hours was created. This consisted of a star grading criteria where each physician was awarded depending on the number of hours completed. End-user perceptions of the application were evaluated using a survey with a Likert scale and open-ended questions. Survey results were collated with descriptive statistics and thematic analysis. Results: The TutorTracker application was developed implementing a live gamification algorithm. It allows physicians to view their hours completed, rewards obtained, and add additional hours. The majority of CTs agreed or strongly agreed that the application was user-friendly, easy to navigate and enjoyed the rewards provided. Major themes that emerged were regarding additional features and full integration of such an application for rewarding teaching efforts. Conclusions: Gamification principles have been implemented in a cross-platform application allowing CTs to be rewarded for their teaching. The next steps would be to formally quantify the effects and advantages of using the application to increase the motivation of tutors.

Assessing Green Building Implementation and Barriers in Campus Settings

Assessing Green Building Implementation and Barriers in Campus Settings

Towards Entrepreneurial Campus Sustainability: Integrating Artificial Intelligence for Resource Allocation in Business Management

This research delves into the utilization of artificial intelligence (AI) within the framework of campus resource allocation, with a primary focus on enhancing business management practices and fostering entrepreneurial sustainability within educational institutions. Through an innovative amalgamation of AI technology and SmartPLS methodology, the study constructs a comprehensive analytical framework aimed at tackling the multifaceted challenges inherent in resource allocation within campus environments. The findings underscore the transformative potential of AI integration in optimizing resource utilization, identifying efficiency gains, and nurturing entrepreneurial endeavors. This paper distinguishes itself from existing studies by presenting a novel approach that emphasizes the unique contributions of AI-driven solutions in both methodological innovation and practical application. By harnessing SmartPLS alongside AI, the research facilitates more accurate resource demand forecasting and enables adaptive decision-making processes, thereby contributing to the Sustainable Development Goals (SDGs), particularly in promoting quality education and sustainable management practices. The study also provides a detailed technical implementation of AI algorithms, offering valuable insights into their development and application within campus settings. The broader implications for the educational sector are explored, considering the scalability and adaptability of the proposed solutions in various educational contexts. Furthermore, the research contributes to theoretical advancements by pioneering the integration of AI and SmartPLS in campus management research, offering a fresh perspective on economic, environmental, and social impact assessments of AI-driven solutions.

LiDAR and CAD Reconstruction of Queen's University Ontario Hall

The emergence of highly accurate LiDAR (Light Detection and Ranging) technology has opened new avenues for engaging with and understanding cultural heritage sites. How do we convert buildings like Ontario Hall into editable 3D models to engage various stakeholders in a campus setting? This initiative developed from the goal of MobArch (Queen's Mobile Laboratory for the study of Architecture and the Built Environment) to use non-invasive visualization technologies to understand the social, developmental, and environmental impacts upon our built environment and architectural past. Current initiatives involving LiDAR for heritage conservation investigate hidden aspects of sites or address structural disrepair. The Ontario Hall project uniquely documents the state of a heritage building before structural concerns arise. This project creates an accurate digital record of Ontario Hall for future infrastructure initiatives and cultural preservation. In addition, this project tests the limits of LiDAR with 3D reconstruction in CAD (Computer Aided Design) software. This project used the Leica RTC360 3D Laser Scanner to create over 300 scans with a point cloud density of 6mm. The resulting cloud was optimized using Leica Cyclone Register 360 Plus software and was imported to Sketch Up where a 3D model was manually reconstructed based on the cloud data. The result of this project is a SKP file containing the 3D model, and the point cloud. The cloud is a highly accurate resource for future infrastructure projects. The 3D model contains room volumes, windows, staircases, and external architectural elements in a more edit-friendly software environment allowing diverse stakeholders to creatively reimagine Ontario Hall. The model can be integrated into archives, websites, games, and VR. Heritage architecture can contribute to the marketing appeal and visual identity of Queen’s. Moreover, awareness of community heritage improves social wellbeing and addresses the need to connect with our built history.

Internet behavioral models for improving internet quality of service or user profiling: a systematic literature review

Internet behavior models have found applications across diverse domains, notably in internet addiction, customer satisfaction analysis, user purchasing behavior prediction, and optimizing internet of things (IoT) sensor performance. However, a notable gap exists in exploring these models in enhancing internet quality of service (QoS), specifically in campus settings, intricately linked to the nuances of students' online behavior. This study elucidates the strategic utilization of internet behavioral models for augmenting internet QoS and facilitating user behavior analysis. Creating datasets grounded in internet users' access behavior represents a pivotal phase, with explicit, implicit, and mixed methods emerging as the prevailing approaches. In this comprehensive literature review, we systematically scrutinized the methods, techniques, and inherent characteristics of constructing internet behavior models according to a systematic literature review process. The qualitative findings extracted from the systematic review encapsulated 1,046 articles, meticulously classified according to predefined inclusion and exclusion criteria. Subsequently, 35 articles were judiciously selected for in-depth analysis. This study culminated in identifying the most pertinent methodologies and salient features pivotal to construct robust internet behavior model for improving internet QoS and user experience.

Evaluating Cardiorespiratory Fitness Level of College Students: A Comparative Analysis Between Basketball and Football Classes

Objectives. The study aimed to compare the cardiorespiratory fitness levels among male students majoring in football and basketball. Materials and methods. A cross-sectional study was conducted with a sample size of 60 students, divided into two groups: 30 students from the basketball class and 30 students from the football class. The average age of students in the football class was 22.03 ± 0.81, while in the basketball class, it was 22.07 ± 0.74. All participants were male and active strata 1 students in semesters 4 and 6, equivalent to second and third-year students. The cardiorespiratory fitness level was assessed using the Cooper 1.5 mile or 2.4 km Run Test. The data analysis was performed using a two-tailed independent sample t-test to determine differences between the two groups at a significance level of less than 5% (p<0.05). Prior to the t-test, normality was assessed using the Shapiro-Wilk test, and homogeneity was assessed using Levene’s statistics, with a significance level higher than 5% (p>0.05). Results. The findings revealed that students in the football class showed a higher VO₂max (42.54 ± 5.40) compared to those in the basketball class (37.86 ± 5.62), demonstrating a statistically significant difference (p = 0.002). Conclusions. The study found a significant disparity in cardiorespiratory fitness levels between the football and basketball student groups within the campus setting.

Assessing the landscape of integrative oncology at US comprehensive cancer centers (CCC).

e13565 Background: Interest in integrative oncology (IO) has grown among patients and its availability has expanded within CCCs. This study assesses the availability of IO programs in U.S. CCCs. Methods: In 2023, a cross-sectional survey was sent to CCCs including NCI-designated CCCs by email regarding IO programs. Participants were asked to describe the importance of IO within their cancer center, the programs and services offered, and how the programs are provided. Results: Of ninety-four survey invitations sent, fifty-eight completed surveys were returned (response rate 62%). Three-fourths of completed surveys (74%) came from NCI-designated CCCs. Over half of respondents (57%) rated IO services to be important (or very important) at their center with 53% stating that their center has a formal IO clinical program. Univariate analysis showed that non-NCI centers were more likely to perceive IO services as being important compared to NCI-designated centers (100% vs. 77%, p=0.04). Respondents stated that their IO program has been in existence for ≥10 years (40%), 5-9 years (26%), and 0-4 years (34%). Among the surveyed cancer centers, availability of IO program was 33% (adult and pediatric) vs. 49% (adult only). The IO programs are available to patients with active cancer (91%), patients in survivorship off-treatment (81%), and healthy patients without a history of cancer (22%). The IO services were offered in an outpatient clinic on the main campus (76%), community sites (29%), or inpatient settings (40%). The most common oncology specific services reported were nutrition (51%), exercise counseling (42%), mind-body medicine (38%), and acupuncture (33%). The clinicians who provided integrative medicine consultations were primarily in internal medicine (31%), family medicine (26%), and medical oncology (19%). In inpatient and outpatient settings, insurance was billed for physical therapy (50% vs. 67%) and diet/nutrition (36% vs. 50%) services, whereas acupuncture (47%) and massage (43%) services were charged by cash/card in an outpatient setting only. Music therapy (33% vs. 47%) and pet therapy (34% vs. 43%) services were offered for free most commonly in both inpatient and outpatient settings, respectively. The highest average out of pocket fee service was acupuncture ($42±27) followed by integrative medicine consultations ($34±29). Conclusions: Despite increasing patient interest and established benefits of integrative therapies as noted by recently published ASCO clinical guidelines, only half of CCCs reported having a formal IO program. More research is needed to understand the gap between patient interest, the growing evidence-base, and how to expand integrative oncology services within existing cancer centers.

Who’s Afraid of Virginia Woolf? Play, Personae, Writer

Albee’s play has a campus setting and features two members of faculty and their wives as its only characters. I review the play to pick out themes in their lives and then connect these to Virginia Woolf herself as bipolar personality and as woman and writer. Much of the text is then a discussion of illusion and reality.

‘I am not what you label me’: Senses of belonging in a mainland Chinese university among cross‐border Hong Kong students

AbstractChina's grand strategies (i.e., the Belt and Road Initiative and the Guangdong–Hong Kong–Macao Greater Bay Area) have expedited the popularity of full‐time degree‐bearing study in mainland China. Associated with the exponential growth of inward student populations are proliferating concerns about the capacity of non‐majority/non‐local students to ‘integrate’ and belong in their host universities/colleges. The extant literature on university/college belonging often positions non‐majority/non‐local students as being academically and culturally deficient and subsequently being otherised in the host university community. Yet, their agency in managing the prevailing image and ‘otherisation’, and constructing their own sense of belonging to university, has received scant attention. This qualitative study is a substantive and theoretical contribution to the literature on university belonging, which has been preoccupied with non‐majority/non‐local students in the classic South–North international student mobility. This study deployed the concepts of politics of belonging and place‐belongingness and canvassed the senses of belonging to university among inbound Hong Kong students in mainland higher education, which has witnessed a growing Hong Kong student population in recent years. The collected interview data indicated that these border‐crossing Hong Kong students found themselves categorised as ‘underachievers’ with ‘poor mathematics’ yet ‘proficient in English’ in the mainland campus setting, where they did not feel they fully belonged. Responding to the paradoxical identity/belonging politics, they performed three forms of place‐belongingness by dismantling, accommodating or counter‐stereotyping the ascribed classifications in order to legitimate their own participation in the mainland Chinese university.

An overview of the application of data mining in the campus

With the advent of campus informatization, it has been observed that the utilization of big data has the potential to facilitate the integration of education and enhance students' learning efficiency. The utilization of big data technology has been increasingly prevalent in contemporary society, leading to a growing reliance on its applications by the general population. Consequently, there is a rising need for educational platforms that can cater to this evolving demand. In the present scenario, China is persistently augmenting the development of campus infrastructure with the aim of attaining modern education objectives and ushering in a new era of educational facilities. The utilization of big data technology, its current status in contemporary usage, and the strategies for achieving widespread adoption have emerged as crucial concerns within the present wave of information technology throughout educational institutions. Simultaneously, the utilization of data mining technology enhances the learning environment for students, mitigates the constraints of campus intelligence, and offers substantial assistance for many educational endeavours inside the campus setting. The application of data mining technology for the advancement of campus management has emerged as a pivotal focal point and a significant breakthrough. This research examines the concept of the convenience zone in data mining and explores its application policy by conducting a comprehensive assessment of relevant literature. The study reveals that there is a lack of widespread awareness and adoption of big data in various contexts where it is necessary. Additionally, the potential utilization of big data at educational institutions, namely on campus, is explored.

Regeneration of industrial heritage: a study on the feasibility of expanding into campus space

With the rapid pace of urbanization, campuses are confronted with the challenge of increasingly limited land resources. Traditional campus planning has proven inadequate in meeting the growing educational demands. In this context, exploring the feasibility of repurposing industrial heritage sites for campus space has emerged as a crucial research topic, offering valuable opportunities to expand campus facilities. This paper takes the regeneration design of industrial heritage along the Jiangsu Canal as an illustrative example and analyzes its potential value, modes of reuse, and design strategies. It further investigates how these sites can be transformed into educational spaces within a campus setting. Through practical applications in industrial heritage regeneration design, this paper explores three dimensions: adaptive integration with external spatial environments, functional replacement within internal structures, adaptive reconstruction of space layouts, and renewal of architectural forms. Ultimately, feasible strategies for regenerating and expanding industrial heritage into campus spaces are summarized herein, providing novel ideas and methodologies for future campus expansion endeavors. Concurrently, we hope to raise awareness among all sectors of society regarding the protection and reuse of industrial heritage while collectively promoting sustainable development in this field.

Strategic Network Management for Modern Campuses: A Comprehensive Framework

Campus handling of networks has become critical in the continuously changing world of higher education. This paper offers a thorough method for managing and safeguarding networks in a campus setting with multiple departments. Our approach focuses on four departments: the administrative, civil, computer science and engineering (CSE), and electrical and electronics engineering (EEE) departments. It combines multiple networking technologies to improve security and maximize speed. Network division using virtual LANs (VLANs), efficient IP address allocation using Variable Length Subnet Masks (VLSM), simplified network configuration using Dynamic Host Configuration Protocol (DHCP), dynamic routing using Routing Information Protocol version 2 (RIPv2), granular access control using Access Control Lists (ACLs), enhanced security using Network Address Translation (NAT), secure remote access using Secure Shell version 2 (SSHv2), and improved network resilience through Link Aggregation are the main components of our system.

Students' Transportation Problems in University Campus A Case Study, Tripoli University, Libya

University campuses are small cities in urban areas that are active and attractive destinations. This high level of activity causes severe congestion on campuses and in the surrounding area, especially in urban university locations. Tripoli University campuses are multi-modal and complicated, combining automotive traffic, public transportation, and pedestrians into a single transportation system. This poses a serious problem for university campuses. Vehicular congestion in a campus setting creates several significant conflict areas that range from pedestrian safety to traffic and transit operations. The university has the greatest influence on the surrounding neighborhoods. Innovative transportation approaches can diffuse from higher education to other parts of society.The aim of this study is to understand the main transportation system used at Tripoli University and document a systematic approach to analyze the problems associated with university campus transportation systems and develop solutions to this problem.The research question how can Tripoli University students reach the university campus in less time and more safely?The methodology used in the research will also generate a questionnaire online for students and staff collecting data from other studies and gain knowledge from other countries' solutions. Effective university campus design has the biggest impact in this area. The expected outcome will be a Based on the findings, this study proposed a mode of transportation that would aid in the discovery of effective solutions to the problem, reduce the amount of time spent traveling every day at the university, and create an integrated university campus.

A Study on Awareness and Acceptance for Use of Gen Z Learning Tools in Teaching among the Arts and Science College Teachers in Tiruchirappalli

Since ancient times, the teaching and learning process has continued to evolve. The curriculum is revised in accordance with societal requirements and technological availability. People who have greater exposure to current technologies use them in every aspect of their daily lives. The present study examines the understanding and acceptance of Gen Z learning technologies among college teachers, who fall into the millennial group. The study’s findings demonstrate that teachers are fully aware of ICT technologies at different educational levels. The researcher has developed hypotheses and used Chi-square tests, Regression and Correlation were used to analyze the hypotheses in order to identify these factors. According to the study’s findings, all of the teachers have knowledge about ICT resources, and all they require is a technologically advanced campus setting.

College focused rapid rehousing: Deploying an existing community model to address homelessness on campus

Research indicates that financial and housing insecurity challenges are widespread on most college campuses throughout the U.S. However, there is wide variability in how campuses address these challenges. This study reports on a three-year implementation of the College-Focused Rapid Rehousing pilot; an initiative in California by which universities commissioned community providers to assist students in need via a modified Rapid Rehousing (RRH) intervention. RRH is a widely implemented intervention that combines move-in assistance, short-term rental subsidies, and ongoing case management, to help individuals quickly transition into stable housing. The mixed-methods evaluation included analyses of online surveys (n = 141), administrative records (n = 368), and focus groups conducted with staff across eight campuses (n = 35). Survey findings indicate that CFRR programs assisted a diverse group of students with similar histories of housing insecurity. Quantitative analyses also show that most participants experienced the intervention as designed, though with some inconsistencies in how quickly some were assisted. Qualitative findings highlight contextual factors that affected the consistency of the intervention, including tight rental markets and philosophical disagreements among administrators about the intervention’s scope. Despite study limitations, findings provide insights into the applicability of the RRH model on campus settings and directions for future research.

The real-world effectiveness of preschoolers wearing masks on campus to prevent respiratory infectious diseases: a cohort study.

Respiratory infections are common in the pediatric population. Preschoolers, especially those in kindergarten and 3-6 years old, are highly vulnerable to various respiratory infections. To investigate the efficacy of indoor mask-wearing in mitigating respiratory infections in preschoolers in a real-world campus setting. The study was conducted over a 115-day period in a kindergarten. Eligible children were assigned into study and control groups. The study group wore masks indoors but not outdoors, and the control group did not wear masks in either setting. We used a questionnaire to collect participant information, including age, height, weight, monthly dietary living expenses, family annual income, parent education level, primary caregiver, number of family members, and number of children under 6 years of age in the household. Incidences of clinical respiratory infections were recorded. We calculated the relative risk and analyzed the relationship between mask-wearing and respiratory infections by inter-group comparison, logistic regression, and Cox regression analyses. A total of 135 preschoolers were included, with 35 and 100 preschoolers in the study and control groups, respectively. Baseline comparisons showed a significant difference in the number of children under 6 years old in the household between the two groups. Mask-wearing did not significantly reduce the risk of respiratory infections (RR = 1.086, 95% CI: 0.713, 1.435). Logistic and Cox regression analyses also showed no significant relationship between mask-wearing and occurrence of respiratory infections after controlling for potential confounders (OR = 0.816, 95% CI: 0.364, 1.826, and HR = 0.845, 95% CI: 0.495, 1.444). Indoor mask-wearing did not reduce the incidence of respiratory infections in preschoolers in a real-world campus setting. However, this study included a small number of preschoolers and observed them for a short period of time. Preschoolers were instructed to wear masks only when indoors. These factors could lead to bias and limit the generalizability of the study results.

A comparative study of bike-sharing and e-scooter sharing users and services in a college town during COVID-19

Shared micro-mobility services have seen a sharp increase during the last decade only to be hindered by the pandemic. Bike-sharing and e-scooter sharing services are the two main services of shared micro-mobility and are often perceived to be similar. However, they may differ because of different mobility trends, associated with each service, stemming from distinct usage habits, particularly in a campus setting, distinct from major cities. In this regard, there is limited understanding of how bike-sharing and e-scooter sharing services differ or are similar in terms of user characteristics within a campus context. Moreover, the effect of the COVID-19 pandemic on shared micro-mobility in campus settings has not been investigated. This study aims to: (a) uncover the users’ perceived barriers and benefits that are associated with each service, (b) determine whether user characteristics and preferences differ between bike-sharing and e-scooter users, (c) evaluate how travel habits and user characteristics can help determine trip purpose of shared micro-mobility services, and (d) detect any change in trip characteristics, namely trip purpose and length, due to COVID-19 for both services. To this end, a survey was conducted between October 2019 and August 2020 in West Lafayette, Indiana, home of Purdue University, gathering 615 responses. Comparative tests were carried out to evaluate the change in trip purpose and length of bike-sharing and e-scooter sharing trips during the pandemic. It was found that commuting trips increased in frequency after COVID-19, while the average trip length during COVID-19 increased for bike-sharing but not for e-scooters. Binary logistic regression results indicate that e-scooter sharing and bike-sharing users hold different characteristics and preferences, which suggests diverse usage patterns. The study findings offer valuable implications for transportation and policy planning in college towns.

Correlates of substance misuse among college-going male students in Chandigarh

Background: The World Health Organization (WHO) defines substance misuse as “consistent or occasional use of a drug inconsistent with or unrelated to acceptable medical practice”. The implementation of evidence-based policies, rules, and interventions targeted at preventing substance abuse and promoting healthier campus settings can result from an understanding of the specific issues associated with substance mis-use among children, particularly college students. Methods: A cross-sectional study was conducted among 256 college students in Chandigarh, selected through stratified multi-stage random sampling. A self-administered, semi-structured, and validated questionnaire was used for collecting data. The data was analyzed using SPSS-26.0. Results: Out of 256 respondents, 157 (61.3%) reported not using any substance. The prevalence of substance use among them was found 38.7%. Among substance users, smoking was the most commonly used (82.8%) followed by drinking (75.7%) and chewing (26.2%). Inhaling was also emerging as substance misuse (4.0%). Prevalence rates among different disciplines varied significantly, law students (100.0%) followed by arts (40.0%), commerce (36.4%), medical (34.9%), and engineering (32.3%). Students irrespective of socio-demographic factors were at equal risk of substance misuse based on the logistic regression. Conclusions: Based on the study’s findings in demographics, it was determined that age, discipline, mother’s educational level, and current living situation have a significant association with substance misuse.