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This article’s purpose is to develop The Model for Smart, Self-learning and Adaptive Resilience Building (SARB).

Products and patents of methods and systems analysis was carried out in the fields of BIM application, Smart, Self-learning and Adaptive Resilience Building. Based on other researchers’ findings, The SARB Model was proposed.

Analysis of the literature showed that traditional decisions on the informational modelling do not satisfy all the needs of smart building technologies owing to their static nature. The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life.

The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life. The SARB Model does have some limitations: (1) the processes followed require the collection of much unstructured and semi-structured data from many sources, along with their analyses to support stakeholders in decision-making; (2) stakeholders need to be aware of the broader context of decision-making and (3) the proposal is process-oriented, which can be a disadvantage during the model’s implementation.

Two directions can be identified for the practical implications of the SARB Model. The initial expectation is the widespread installation of SARB Model within real estate and construction organisations. Furthermore, development of the SARB Model will be used to implement the ERASMUS+ project, “Advancing Skill Creation to ENhance Transformation—ASCENT” Project No. 561712-EPP-1-2015-UK-EPPKA2-CBHE-JP.

The practical implications of this paper are valuable.

This chapter highlights inquiry-based learning in action in a first-year Social Sciences inquiry course. Focusing on the continued development of this course over eight years, we present a practical example of fostering an inquiry-based teaching and learning environment grounded in metacognitive practice. Woven throughout the course is a thoughtful and deliberate incorporation of skill-building based on two types of metacognitive expertise; self-understanding and self-regulation with a goal to encourage and support students in developing effective learning strategies necessary for university study. We have found that scaffolding the inquiry learning process with metacognition further enhances the first-year learning experience and promotes a deeper level of learning, where students become aware of their own thinking practice and process. These skills include critical thinking, self-directed learning, clear communication and openness to learning. The chapter presents a series of strategies for introducing and linking metacognitive practice and the inquiry-based approach to learning. Presenting the five stages of inquiry learning: exploration, question and problem identification, methods of investigation, collection and analysis of data, development of conclusions and creative communication of results we describe how we work to develop a more distinct, personalized, engaging and sustainable undergraduate learning experience.

This chapter will introduce three novel technologies demonstrated in Sino-Italian Green Energy Lab of Shanghai Jiao Tong University for the hot summer and cold winter climate zone.

Experimental and modeling works have been conducted on the application of these systems. A comprehensive review on the features of these novel technologies, their adaptability to local climate condition have been carried out, and some initial study results have been reported.

Solar PV direct-driven air conditioner with grid connection, home used small temperature difference heat pump, smart house energy information and control system are appropriate energy technologies with reduced CO₂ emission, which can be applied efficiently in the hot summer and cold winter climate zone. More useful data will be obtained in the future demonstration tests in Sino-Italian Green Energy Lab.

This work shows combining renewable energy technologies and information technologies is crucial to improve the energy efficiency and the comfortableness for indoor environment.

The standards movement, while new in the current NCLB iteration, has been a part of education for almost the last half century (Popham, 2001; Sirotnik, 2004). According to several researchers (e.g., DiPaola & Walther-Thomas, 2003; Fullan, 2001; Lashley & Boscardin, 2003; Marsh, 2000; Villa & Thousand, 2000), there have been significant changes in the roles that school leaders must fulfill to implement a standards-based educational accountability system. The requirements of NCLB will not be a “passing fad” and so will affect the manner in which special education administrators conduct their work (Hochschild, 2003). As it stands, districts and schools are viewed as an amalgam of complex relationships (Harry, Sturges, & Klinger, 2005) that come together as learning communities to meet accountability targets for all students. The requirements for building a learning community involve the skills of collaboration and empowerment of others. Apparently, developing productive partnerships will exceed the previously defined narrow interpretation of collaboration with families and other professionals (Crockett, 2002). Standards-based accountability practices which disaggregate data based on specific subgroups, one of which is students with disabilities, are a result of the concern that exclusion of students from testing distorts the efficacy of educational reform efforts (Heubert & Hauser, 1999; McDonnell, McLaughlin, & Morison, 1997; Schulte & Villwock, 2004). However, concerns have also been raised regarding the validity of conclusions drawn from large-scale accountability data (Schulte & Villwock, 2004; Ysseldyke & Bielinski, 2002). Hargreaves (2003) concluded that “the rightful pursuit of higher standards has generated into a counter productive obsession with soulless standardization” (p. 82).

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Given the complexity of inclusive business (IB) to combine social contribution and business sustainability, companies make strategic choices. One multinational corporation (MNC) avoided interconnections with villagers and used only market-based relations with stimulants and incentives in the market. Another one delegated management completely to local partners, succeeding in stimulating the poor’s self-initiated economic activities. MNCs seem to have difficulties in handling institutional interconnections. In such cases, market-based relations or delegating management to the local partners were found to be highly effective for covering missing capabilities. One foreign NGO, despite its well-developed institutional interconnections with the locals, is struggling to develop markets for its social enterprises. In contrast, one local trust successfully cooperated with many local partners, appealing to local institutions (values and beliefs). Also, poor farmers felt the social contributions of two local companies by being incorporated into the companies’ supply chains backed by their corporate social responsibility (CSR) orientations and activities. Hence, both foreign and domestic organizations seem to succeed in IB by embedding their projects to their original institutions and developing diverse mechanisms to compensate for missing capabilities. One exception is a local company which successfully coordinated MNCs’ CSR activities, local communities, and governments. However, its success is owing to governmental regulation for CSR contribution. In general, though restricted by institutional backgrounds and business orientations, each case tried to create a fit between business models and its contingencies, achieve scale (at the level of communities, nations, or the global market) and business sustainability, and generate socioeconomic effects.