scispace - formally typeset
Search or ask a question

What re the support networks of students living in boarding houses? 


Best insight from top research papers

Students living in boarding houses rely on various support networks. Research highlights the importance of family, friends, and university housing as significant sources of support . Decision support systems utilizing methods like Analytic Network Process and Fuzzy Logic aid in selecting boarding houses based on criteria such as distance, price, facilities, and security . Social network analysis reveals the peer involvement and supportive relationships within residential learning communities, emphasizing encouragement, validation, and academic assistance among first-generation students . Additionally, peer-support plays a crucial role in mitigating academic stress among students in boarding schools with a house system, with self-efficacy identified as a mediator variable . Multi-criteria decision support systems employing the Topsis method assist students in finding suitable boarding houses based on criteria like rental rates, room area, and facilities .

Answers from top 5 papers

More filters
Papers (5)Insight
Not addressed in the paper.
The support networks of students in boarding houses include peer support, parent support, and teacher support, with self-efficacy potentially mediating academic stress levels.
The study examines the impact of a residential learning community on first-generation students' supportive peer relationships, including encouragement, validation, and academic assistance within the network.
Not addressed in the paper.
The support networks of students living in boarding houses include family, friends, and the university student housing program, providing significant mentoring relationships, protection, and practical assistance.

Related Questions

How can boarding house helps students?5 answersBoarding houses play a crucial role in assisting students by providing them with essential accommodation options. These houses offer a variety of benefits such as ease of access to necessary information through digital applications like GOLEK KOST, aiding students in selecting the most suitable boarding house based on criteria like price, facility, location, and room area using methods like FAHP and SAW. Additionally, boarding houses help students estimate ideal prices through predictive mobile applications utilizing Deep Neural Network Regression. Furthermore, multi-criteria decision support systems like Topsis method-based applications assist students in finding appropriate boarding houses by considering factors like rental rates, room area, and facilities. Ultimately, Decision Support Systems using methods like SAW can guide students in selecting the best boarding house based on predetermined criteria.
How does living in a boarding houses affects students academic performance compared to living at home?5 answersLiving in a boarding house versus living at home can impact students' academic performance differently. Research shows that while boarding students may face higher levels of mental problems like depression and anxiety, day students tend to have higher academic performance compared to boarding students. Factors such as family influences, like parents encouraging academic participation, can significantly affect academic performance for both day and boarding students. Additionally, students' residential location plays a role in academic performance, with on-campus students enjoying benefits like proximity to lecture areas, security, and utilities, potentially impacting their academic success. Despite differences in living arrangements affecting lifestyle habits, there is no significant association between living arrangements and students' average BMI or GPA.
What are the experiences of the students away from home living in a boarding houses?5 answersStudents living away from home in boarding houses face various challenges and experiences. These include adapting to new environments, dealing with stressors such as academic, interpersonal, and environmental issues, coping with family and social problems like divorce or abandonment, ensuring personal security to prevent victimization, selecting strategic boarding houses based on needs and preferences, and managing unique challenges like sleep disruptions and homesickness, which can impact psychological well-being. Boarding students often prioritize establishing routines, limiting technology use at night, and addressing feelings of homesickness to enhance their overall well-being and adjustment to boarding life.
How is boarding house is helpful in students?5 answersBoarding houses play a crucial role in assisting students by providing them with temporary accommodation, especially when they need to study away from their hometowns or usual residences. These accommodations are essential for students pursuing education in areas where their desired majors are available, but their hometowns lack such educational opportunities. Boarding houses offer students a convenient and practical living option, considering factors like cost, facilities, and strategic locations. Furthermore, the availability of boarding houses is vital due to the uneven distribution of educational institutions in Indonesia, with a significant concentration on the island of Java, making it challenging for students to find suitable accommodations near their universities. Overall, boarding houses serve as a crucial support system for students seeking education away from their homes, providing them with a comfortable living environment conducive to their academic pursuits.
What are the differences in communication patterns between students in boarding houses and those in home environments?4 answersStudents in boarding houses and those in home environments have different communication patterns. In boarding houses, students interact with peers from different backgrounds, regions, and characters, leading to associative interactions and the development of tolerance and collaboration. Acculturation also occurs, where students adopt mixed cultures from various regions, resolving conflicts through advice and mediation, and guided by the values of tolerance emphasized by teachers. On the other hand, students in home environments may face communication challenges due to broken home family problems, resulting in various stages of the communication process and psychological impacts. Teachers in Islamic boarding schools play a crucial role in fostering students' morals through dialogue, exemplification, habituation, and advice methods, supported by boarding guidebooks that provide guidance on daily activities and regulations. Therefore, the communication patterns of students in boarding houses and home environments differ based on their social interactions, family backgrounds, and the guidance provided by teachers.
What are the social and emotional impacts of boarding houses on students?5 answersBoarding houses can have both social and emotional impacts on students. The social impacts include the need for students to negotiate unfamiliar cultural, social, and learning environments, as well as being separated from family and community support. These challenges can be addressed through the provision of programs that enhance students' social and emotional skills. For example, a study conducted in Aboriginal boarding schools found that a social and emotional learning program significantly improved students' skills in seeking and giving help, working in groups, managing conflict, being assertive, and discussing cultural issues. Additionally, the study highlighted the importance of secure relationships with staff and participation in single-sex groups as critical enablers for the effectiveness of such programs. Therefore, boarding schools should prioritize the development and implementation of programs that support students' social and emotional well-being to address the challenges they face in the boarding environment.

See what other people are reading

Is there a paper that evaluated the safety of combining the three ivy leaves, yellow lotus, and pelargonium?
5 answers
A study evaluated the safety and efficacy of ivy leaves in treating acute cough due to respiratory infections. The research demonstrated that ivy leaf extract is effective and safe for cough associated with upper respiratory tract infections and bronchitis, with minimal adverse effects reported. However, the clinical significance of the effects was deemed uncertain, despite a more rapid reduction in cough severity observed under ivy leaf treatment. The meta-analysis indicated that ivy leaf extract significantly reduced cough severity and accelerated recovery without safety concerns. Additionally, a randomized controlled trial confirmed the efficacy and safety of ivy leaves cough liquid in treating acute cough, showing statistically significant reductions in cough severity and associated symptoms compared to a placebo group.
Can the Economic Order Quantity be applied in the pharmaceutical sector or drug industry?
5 answers
The Economic Order Quantity (EOQ) model can indeed be applied in the pharmaceutical sector or drug industry to optimize inventory management. Implementing the EOQ method in drug inventory planning systems helps in efficient budgeting, procurement, and cost control by determining the optimal order quantity that minimizes total inventory costs. The EOQ calculation involves factors like demand, holding, and ordering costs, which are crucial in pharmaceutical inventory management. Utilizing fuzzy mathematics-informed methods, such as an adaptive EOQ model, can address uncertainties in pharmaceutical inventory systems, leading to better cost optimization and system development. Therefore, integrating the EOQ model in pharmaceutical installations can enhance inventory control, reduce wastage due to expired drugs, and improve overall efficiency in managing pharmaceutical supplies.
Can the Fuzzy Mamdani model be applied to real-world problems outside of control systems?
5 answers
Yes, the Fuzzy Mamdani model can be effectively applied to real-world problems beyond control systems. Research has shown its successful utilization in various domains such as evaluating teacher performance in online teaching, optimizing cooling systems in water chillers, assessing the performance of urban flood management programs like the Sponge City Programme (SCP), and identifying the risk of breast cancer for individuals. These applications demonstrate the versatility and effectiveness of the Mamdani fuzzy logic model in addressing complex real-world problems outside traditional control systems. By adapting the Mamdani model to different scenarios, researchers have been able to enhance decision-making processes, improve system performance, and provide valuable insights for diverse fields beyond control engineering.
How does AI technology specifically affect various aspects of a student's academic performance?
5 answers
AI technology significantly impacts various aspects of a student's academic performance. It plays a crucial role in predicting student performance, automating evaluations, and enhancing teaching quality through assessment activities. AI tools like neural networks and natural language processing help in making evaluations more objective and automating the process, while educational robots analyze the learning process to improve student assessment. Additionally, the application of fuzzy logic and fuzzy expert systems aids in student allocation, which influences academic performance by optimizing student groupings based on imprecise judgments. However, the introduction of AI can also lead to negative impacts such as loss of human decision-making, laziness, and privacy concerns among students, emphasizing the need for careful implementation and addressing of these issues before integrating AI technologies into education systems.
What are the different theories and approaches to measuring satisfaction?
5 answers
Various theories and approaches exist for measuring satisfaction. The grey fuzzy theory is utilized to design a customer satisfaction measurement system with improved timeliness. Relative deprivation and relative satisfaction concepts focus on individual-level indicators, emphasizing utility from a relativistic perspective. The MUSA method presents a multicriteria evaluation approach for customer satisfaction, employing collective preference disaggregation and ordinal regression analysis. In the context of e-learning, customer satisfaction is crucial, with methods like factor and cluster analysis used to assess student satisfaction levels. Additionally, satisfaction measurement in music education involves assessing various aspects like studies, teaching staff, and facilities through qualitative and quantitative research methods. These diverse theories and approaches offer valuable insights into understanding and evaluating satisfaction across different domains.
How can make python script?
5 answers
To create a Python script, one can utilize various methods and tools outlined in the provided research contexts. One approach involves leveraging the Fuzzy Time Series Markov Chain model in Python to forecast cocoa plant diseases efficiently. Another method highlighted is the utilization of scripts for groundwater modeling and data analysis, emphasizing the advantages of reproducibility and error detection in modeling processes. Additionally, a script generation method using Python is detailed, enhancing the efficiency of script creation and ensuring a specified format. Moreover, the development of a Python script for automatic data cleaning and labeling is discussed, showcasing the use of machine learning techniques for enhancing data quality and analysis. Lastly, the importance of scripting with Python for computational scientists is emphasized, focusing on productivity, reliability, and open-source tools for tailored working environments.
What is consumer evaluation of satisfaction?
5 answers
Consumer evaluation of satisfaction involves assessing consumer feedback, perceived product attribute performance, disconfirmation of product attribute expectations, and the impact of influencers on satisfaction. Studies highlight the importance of factors like product quality, service efficiency, and the role of influencers in enhancing consumer satisfaction. Evaluability theory suggests that the perceived attribute performance significantly influences satisfaction, especially for difficult-to-evaluate attributes. Additionally, negative attribute disconfirmation tends to have a greater impact on satisfaction than positive disconfirmation, aligning with loss aversion theory. The use of influencers is found to contribute to higher levels of consumer satisfaction, emphasizing the need for companies to leverage influencers effectively to improve competitiveness.
How much does the quality of the website impact highschools?
5 answers
The quality of educational websites significantly impacts high schools. Studies evaluating educational websites using the EQEWS model have shown that usability and navigation are crucial criteria preferred by users, with high satisfaction levels in these areas. Additionally, the quality of websites directly influences prospective students' perceptions of the quality of education offered by universities, affecting their enrollment intentions. High school websites, when well-designed and functional, can better cater to the needs of students preparing for university entrance exams, showcasing a focus on achieving excellent results. Therefore, maintaining high-quality websites is essential for high schools to enhance user satisfaction, support learning, and positively influence enrollment decisions.
What is the mean photovoltaic module temperature for kumasi?
10 answers
Determining the mean photovoltaic (PV) module temperature for Kumasi, based on the provided contexts, requires an understanding of various factors that influence module temperature, including environmental conditions, module technology, and thermal management strategies. The studies conducted in Kumasi, a region characterized by its hot and humid climate, offer insights into the performance and temperature characteristics of different PV technologies under long-term exposure. From the contexts, it is evident that module temperature is significantly influenced by solar irradiance, ambient temperature, and wind velocity. For instance, a simplified model was developed to calculate the cell operating temperature from climatic parameters, indicating that module temperatures can vary within ±4°C of calculated values based on environmental conditions. Moreover, an adaptive neuro fuzzy inference system technique developed for temperature estimation of PV systems showed a high correlation (R = 95%) with experimental data, emphasizing the impact of environmental variables on module temperature. The performance of various PV technologies in Kumasi, including heterojunction (HIT), polycrystalline (poly-Si), and thin-film (a-Si) modules, also provides insights into temperature dynamics. HIT modules, for instance, demonstrated very low average power degradation rates, which are consistent with lower temperature differences recorded in hotspot tests, suggesting better thermal management and possibly lower mean temperatures. Conversely, modules with higher degradation rates, such as some poly-Si and a-Si modules, exhibited higher temperature differences, indicating higher mean temperatures due to less efficient thermal management or environmental stressors. Experimental setups and numerical studies further contribute to understanding module temperature behavior. For example, a numerical study on the reliability of soldered interconnects under real outdoor conditions used temperature cycle profiles as thermal loads, highlighting the importance of accurate temperature estimation for module reliability. Additionally, dynamic thermal modeling has improved the accuracy of module temperature predictions by incorporating the heat capacity of the system, reducing the error between measured and modeled temperatures. Given the complexity of factors influencing PV module temperature and the absence of explicit mean temperature values in the provided contexts, it is challenging to specify an exact mean temperature for PV modules in Kumasi. However, the collective findings from these studies underscore the significance of environmental conditions, module technology, and thermal management in influencing module temperature. Therefore, while an exact mean temperature cannot be derived solely from the provided contexts, it is clear that module temperatures in Kumasi are subject to variation influenced by a combination of environmental exposure and module-specific characteristics.
What are the short-term and long-term effects of a lack of real-time stabilization on inverted pendulums?
5 answers
A lack of real-time stabilization on inverted pendulums can have significant short-term and long-term effects. In the short term, it can lead to inadequate system behavior, finite escape time, and unstable responses due to time delays. This can result in poor performance, instability, and difficulty in maintaining control over the system. In the long term, the lack of real-time stabilization can hinder the system's stability, proper speed, robustness, and smooth tracking, especially in underactuated and nonlinear systems like inverted pendulums. Implementing optimized controllers such as hybrid controllers, fuzzy logic controllers, or a combination of LQR and sliding mode controllers can help address these issues and improve the overall performance and stability of inverted pendulum systems.
Land-use planning, land-use allocation, dry lands, uncertainty?
5 answers
Land-use planning and allocation in dry lands involve addressing uncertainties such as interval, fuzzy, and random factors. Various methods have been proposed to optimize land use under uncertainty, including uncertain interval stochastic fuzzy chance constraint methods, interval probabilistic fuzzy models, and uncertainty fractional joint probability chance constraint programming. These approaches consider economic benefits, ecological constraints, and uncertain parameters to develop optimized land allocation schemes. Factors contributing to uncertainty in land-use planning include political, economic, and governmental actions, impacting the effectiveness of plans in rapidly growing cities like Bamako District in Africa. By integrating different uncertainty programming techniques, decision-makers can develop flexible land use policies that balance economic gains, environmental sustainability, and uncertain conditions in dry land areas.