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Along with the arrival of the Internet era, all walks of life are beginning to promote the wisdom of the process. As the concept of "smarter planet" and "wisdom city" is put forward, the school as the frontier of knowledge and information service, as a new talent incubator should seize the opportunity and apply the advanced information technology to promote the construction of smart campus. Wisdom campus applies in many aspects of the school, such as campus unified call center, intelligent transportation, energy saving, safe campus, mobile application service system construction, campus comprehensive information system, public housing resources comprehensive management, the foundation of the campus design regulation, etc. This paper makes the planning of the implementation and method technology of the intelligent transportation system in the construction of smart campus.

“Low expectation of success” is proposed as a factor in relation to problem behavior in the comprehensive theoretical model of problem behavior (CTMPB). Based on the framework of CTMPB, this study aimed to further examine the association between confidence in the future (including parental confidence in the adolescent future and adolescent self-confidence in the future in this study) and problem behavior. A nationwide representative sample data from the China Education Panel Survey (CEPS) were used in this study. A total of 8328 middle school students and their parents were included. Among the students, 4081 (49.0%) were boys, the mean age was 14.53 years (SD = 0.70); among the parents, 3908 (46.9%) were male, the mean age was 41.15 years (SD = 5.14). The results reveal that parental confidence in adolescent future (PCAF) can play a role in adolescent problem behavior through adolescent perceived parental confidence in adolescent future (APPCAF) and adolescent self-confidence in the future (ASF). Low levels of both PCAF and ASF are vulnerability risk factors in adolescent problem behavior. Lowering PCAF and ASF might increase the likelihood of engaging in problem behavior. However, this study was based on cross-sectional data only and is required to be supported by further experimental or longitudinal studies.

Abstract The South Korean government has been actively promoting an educational-facility improvement program as part of its energy-saving efforts. This research seeks to develop a decision support model for selecting the facility expected to be effective in generating energy savings and making the facility improvement program more effective. In this research, project characteristics and electric-energy consumption data for the year 2009 were collected from 6282 elementary schools located in seven metropolitan cities in South Korea. In this research, the following were carried out: (i) a group of educational facilities was established based on electric-energy consumption, using a decision tree; (ii) a number of similar projects were retrieved from the same group of facilities, using case-based reasoning; and (iii) the accuracy of prediction was improved, using the combination of genetic algorithms, the artificial neural network, and multiple regression analysis. The results of this research can be useful for the following purposes: (i) preliminary research on the systematic and continuous management of educational facilities’ electric-energy consumption; (ii) basic research on electric-energy consumption prediction based on the project characteristics; and (iii) practical research for selecting an optimum facility that can more effectively apply an educational-facility improvement program as a decision support model.

After the concept of the Energy Internet was proposed in the last century, it has become a topic of great interest in recent years with the development of related technologies and the growing environmental problems. At the same time, the new technology brought by it also poses new challenges for the electrical engineering specialty, which is inseparable from power plants, power grids and other power facilities. How to reform the electrical engineering specialty to better meet the challenges it brings has become a problem that cannot be ignored. This paper comprehensively analyzes the current development status of the Energy Internet, key technologies involved in the concept of the Energy Internet, and problems in current talent training. This paper proposes to carry out curriculum reform through two main lines and to further optimize the curriculum structure, thus forming a more reasonable training program.

In the view of the construction of green university throughout the world, this paper summarizes the principles, connotation and methods of the evaluation green university index system. An index system is established for assessment of green university, which contains the green concept, the green culture, the green research, the green education and the green campus. By applying the multi-level grey approach, the article tries to innovate the evaluation approach of green university and develop Green Star rating system. Taken Jiangnan university as a case study, a comprehensive evaluation model is employed to puts forward a feasible and useful way for green university evaluation.

The upsurge in higher education is considered a key determinant for enhancing green growth. Moreover, ICT development is also the main catalyst of green growth. This research explores the role of higher education and ICT on green growth for China from 1995 to 2020. The study employs auto-regressive distributive lag (ARDL) approach for short-run and long-run estimates of green growth. The effect of higher education and ICT on green growth is significantly positive in the long run and short run. The outcomes of the empirical models reveal that financial inclusion is positively associated with green growth in both long run and short run. Moreover, renewable energy consumption is found to have a positive impact on green growth. The findings thus point to the need for policies that promote human capital and ICT infrastructure as a way of accelerating green growth.

Pathogens represent a significant threat to human health leading to the emergence of strategies designed to help manage their negative impact. We examined how spiritual beliefs developed to explain and predict the devastating effects of pathogens and spread of infectious disease. Analysis of existing data in studies 1 and 2 suggests that moral vitalism (beliefs about spiritual forces of evil) is higher in geographical regions characterized by historical higher levels of pathogens. Furthermore, drawing on a sample of 3140 participants from 28 countries in study 3, we found that historical higher levels of pathogens were associated with stronger endorsement of moral vitalistic beliefs. Furthermore, endorsement of moral vitalistic beliefs statistically mediated the previously reported relationship between pathogen prevalence and conservative ideologies, suggesting these beliefs reinforce behavioural strategies which function to prevent infection. We conclude that moral vitalism may be adaptive: by emphasizing concerns over contagion, it provided an explanatory model that enabled human groups to reduce rates of contagious disease.