Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (5)

Search Parameters:
Keywords = campus as a living laboratory

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
17 pages, 3000 KB  
Article
Characteristics of PM2.5 and CO2 Concentrations in Typical Functional Areas of a University Campus in Beijing Based on Low-Cost Sensor Monitoring
by Qingqing Wang, Ruoxi Ao, Hongwei Chen, Jialin Li, Lianfang Wei and Zifa Wang
Atmosphere 2024, 15(9), 1044; https://doi.org/10.3390/atmos15091044 - 29 Aug 2024
Cited by 9 | Viewed by 2091
Abstract
The air quality in educational campuses affects the health and work efficiency of teachers and students. Studies into this matter are of great significance for optimizing the management of campus living environments. Low-cost online sensors to monitor PM2.5 and CO2 levels [...] Read more.
The air quality in educational campuses affects the health and work efficiency of teachers and students. Studies into this matter are of great significance for optimizing the management of campus living environments. Low-cost online sensors to monitor PM2.5 and CO2 levels were used in typical functional areas of a university campus in Beijing, China, including offices, dormitories, leisure spaces, canteens, and laboratories. By comparing the findings with data from nearby national monitoring stations, the seasonal and spatial variations in PM2.5 and CO2 concentrations were analyzed. Findings indicate PM2.5 levels within the campus were notably lower compared to the surrounding urban environment. There was variation in PM2.5 and CO2 concentrations across different functional areas. Typically, indoor PM2.5 levels were lower than outdoor ones, while CO2 concentrations in enclosed indoor spaces with human activities progressively escalated. The main internal emission sources affecting the PM2.5 level on campus included traffic emissions, dust generated by human activities, and emissions from catering. In contrast, in areas with better green coverage or where a lake system participates in the atmospheric circulation, the PM2.5 level and CO2/PM2.5 were lower. This indicates that the cleansing impact of plants and aquatic systems is instrumental in lowering PM2.5 concentrations, offering healthier leisure spaces. Seasonal variations also impact PM2.5 levels. During the non-heating period, less pollution source emissions led to decreased outdoor PM2.5 concentrations. The campus monitoring sites experienced an approximate 5 µg/m3 and 29 µg/m3 reduction in the average PM2.5 levels as compared to the PM2.5 of the surrounding urban environment, respectively, during the non-heating and heating period. During indoor activities or sleep, CO2 levels can build up to as high as 2303 ppm due to breathing. It is advisable to stay indoors on days when pollution levels are high, whereas on days with clean air, it is healthier to be outdoors or to air out indoor areas by opening windows. Our research provides clearer scientific evidence for incorporating behavioral strategies for improving air quality into both daily work and life. Moreover, the findings are quite meaningful for the widespread adoption of low-cost sensor monitoring in various environments, with applications beyond just the campus settings. Full article
(This article belongs to the Section Air Quality)
Show Figures

Figure 1

12 pages, 245 KB  
Article
Exploring the Experiences of Pharmacy Students and Their Transition to Online Learning during COVID-19
by Aleisha C Morling, Shou-Yu Wang and M. Joy Spark
Pharmacy 2022, 10(5), 110; https://doi.org/10.3390/pharmacy10050110 - 2 Sep 2022
Cited by 4 | Viewed by 4170
Abstract
Due to the heavy focus on development of communication skills, compounding laboratories and many practical workshops, undertaking a registerable pharmacist qualification in an online format is typically not an option for students. COVID-19 presented on-campus pharmacy students with the opportunity to experience online [...] Read more.
Due to the heavy focus on development of communication skills, compounding laboratories and many practical workshops, undertaking a registerable pharmacist qualification in an online format is typically not an option for students. COVID-19 presented on-campus pharmacy students with the opportunity to experience online learning. The aim of this study was to explore the experiences of on-campus pharmacy students who were required to move their studies to online learning during the COVID-19 pandemic. An interpretive phenomenological methodology was adopted, and semi-structured interviews were conducted with pharmacy students who were originally enrolled in on-campus learning and had to transition to online learning. Data were analyzed using a hermeneutic phenomenological approach whereby themes were identified to aid in the development of the phenomena guided by ‘lived experience’. Seven interviews were conducted with pharmacy students. Four emergent themes resulted from the interviews: (1) life as an on-campus pharmacy student, (2) preconceived ideas of online learning, (3) learning differences as an online pharmacy student and (4) the future of online pharmacy programs. Students were initially hesitant to transition to online learning due to preconceived ideas and expectations that may have tainted their overall experience. Pharmacy students preferred face-to-face learning due to their sociable personality and heavy dependence on peer and teacher support. All participants reported that they preferred face-to-face learning and acknowledged that fully online programs were not suited to their learning style or to the discipline of pharmacy. After their experience of online learning, participants believed that there was a place for online learning components in pharmacy courses. Lectures and some discussion workshops could be delivered online, but some aspects, such as compounding; dispensing; counselling; and demonstration of medication delivery devices, such as asthma inhalers and injectable diabetes products, should be delivered on campus. Full article
21 pages, 382 KB  
Article
Synergy of the (Campus) Commons: Integrating Campus-Based Team Projects in an Introductory Sustainability Course
by Charlotte R. Clark and Tavey M. Capps
Sustainability 2020, 12(3), 1224; https://doi.org/10.3390/su12031224 - 8 Feb 2020
Cited by 7 | Viewed by 3033
Abstract
Faculty and staff at Duke have collaborated to teach a one-semester, introductory, undergraduate course on sustainability ten times over 12 years, including both theoretical and applied project-based content. This article describes the overall process and rhythm of the course, and provides a unique [...] Read more.
Faculty and staff at Duke have collaborated to teach a one-semester, introductory, undergraduate course on sustainability ten times over 12 years, including both theoretical and applied project-based content. This article describes the overall process and rhythm of the course, and provides a unique contribution by summarizing our process to accomplish on-campus sustainability projects where three- to five-person student teams collaborate with on-campus clients throughout the semester, researching questions posed by the client, and ultimately providing recommendations. The faculty/staff partnership on the instructional team permits five to six projects to be designed each year, with a much broader array of clients and authentic research questions than could be envisioned by an academic faculty member alone. Having a strong connection with the Sustainable Duke staff provides the trust with other staff on campus that project results can endure past the semester time period if warranted. Full article
Show Figures

Figure 1

18 pages, 12434 KB  
Article
An Automated IoT Visualization BIM Platform for Decision Support in Facilities Management
by Kai-Ming Chang, Ren-Jye Dzeng and Yi-Ju Wu
Appl. Sci. 2018, 8(7), 1086; https://doi.org/10.3390/app8071086 - 4 Jul 2018
Cited by 93 | Viewed by 12204
Abstract
Building information modeling (BIM) is the digital representation of physical and functional characteristics (such as geometry, spatial relationship, and geographic information) of a facility to support decisions during its life cycle. BIM has been extended beyond 3D geometrical representations in recent years, and [...] Read more.
Building information modeling (BIM) is the digital representation of physical and functional characteristics (such as geometry, spatial relationship, and geographic information) of a facility to support decisions during its life cycle. BIM has been extended beyond 3D geometrical representations in recent years, and now includes time as a fourth dimension and cost as a fifth dimension, as well as such other applications as virtual reality and augmented reality. The Internet of Things (IoT) has been increasingly applied in various products (smart homes, wearables) to enhance work productivity, living comfort, and entertainment. However, research addressing the integration of these two technologies (BIM and IoT) is still very limited, and has focused exclusively on the automatic transmission of sensor information to BIM models. This paper describes an attempt to represent and visualize sensor data in BIM with multiple perspectives in order to support complex decisions requiring interdisciplinary information. The study uses a university campus as an example and includes several scenarios, such as an auditorium with a dispersed audience and energy-saving options for rooms with different functions (mechanical/electrical equipment, classrooms, and laboratory). This paper also discusses the design of a common platform allowing communication among sensors with different protocols (Arduino, Raspberry Pi), the use of Dynamo to accept sensor data as input and automatically redraw visualized information in BIM, and how visualization may help in making energy-saving management decisions. Full article
(This article belongs to the Special Issue Selected Papers from the 2017 International Conference on Inventions)
Show Figures

Figure 1

15 pages, 2462 KB  
Article
Model to Implement Virtual Computing Labs via Cloud Computing Services
by Washington Luna Encalada and José Luis Castillo Sequera
Symmetry 2017, 9(7), 117; https://doi.org/10.3390/sym9070117 - 13 Jul 2017
Cited by 26 | Viewed by 9869
Abstract
In recent years, we have seen a significant number of new technological ideas appearing in literature discussing the future of education. For example, E-learning, cloud computing, social networking, virtual laboratories, virtual realities, virtual worlds, massive open online courses (MOOCs), and bring your own [...] Read more.
In recent years, we have seen a significant number of new technological ideas appearing in literature discussing the future of education. For example, E-learning, cloud computing, social networking, virtual laboratories, virtual realities, virtual worlds, massive open online courses (MOOCs), and bring your own device (BYOD) are all new concepts of immersive and global education that have emerged in educational literature. One of the greatest challenges presented to e-learning solutions is the reproduction of the benefits of an educational institution’s physical laboratory. For a university without a computing lab, to obtain hands-on IT training with software, operating systems, networks, servers, storage, and cloud computing similar to that which could be received on a university campus computing lab, it is necessary to use a combination of technological tools. Such teaching tools must promote the transmission of knowledge, encourage interaction and collaboration, and ensure students obtain valuable hands-on experience. That, in turn, allows the universities to focus more on teaching and research activities than on the implementation and configuration of complex physical systems. In this article, we present a model for implementing ecosystems which allow universities to teach practical Information Technology (IT) skills. The model utilizes what is called a “social cloud”, which utilizes all cloud computing services, such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Additionally, it integrates the cloud learning aspects of a MOOC and several aspects of social networking and support. Social clouds have striking benefits such as centrality, ease of use, scalability, and ubiquity, providing a superior learning environment when compared to that of a simple physical lab. The proposed model allows students to foster all the educational pillars such as learning to know, learning to be, learning to live together, and, primarily, learning to do, through hands-on IT training from a MOOCs. An aspect of the model has been verified experimentally and statistically through a course of computer operating systems. Full article
(This article belongs to the Special Issue Advanced in Artificial Intelligence and Cloud Computing)
Show Figures

Figure 1

Back to TopTop