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Shijing Xu, Shijian Chen and Ju Huang

This chapter focuses on pedagogies of working with diversity centers on West-East reciprocal learning through a Reciprocal Learning Program in preservice teacher education…

Abstract

This chapter focuses on pedagogies of working with diversity centers on West-East reciprocal learning through a Reciprocal Learning Program in preservice teacher education between a Canadian university and a Chinese university. By presenting our initial analysis of fieldwork with our Teacher Education Reciprocal Learning Program participants through excerpts from newsletters, surveys, and interviews, we explore how participants from both China and Canada made sense of their learning from the other cultural and educational system through the Reciprocal Learning Program within broad educational, social, and cultural contexts. We argue that both global and multicultural dimensions are cultivated in reciprocal learning that infused the lived experiences of both Canadian and Chinese preservice teacher candidates. We discuss the pedagogic implications for working with diversity and believe that reciprocal learning can take place while working with people from different cultures with an attitude of mutual respect and appreciation and an appetite for learning in our increasingly interconnected world.

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International Teacher Education: Promising Pedagogies (Part B)
Type: Book
ISBN: 978-1-78441-669-0

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Long Chen and Wei Pan

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision…

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With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

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Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Nima Gerami Seresht, Rodolfo Lourenzutti, Ahmad Salah and Aminah Robinson Fayek

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes…

Abstract

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.

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Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Freight Transport Modelling
Type: Book
ISBN: 978-1-78190-286-8

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Article

Yanlan Mei, Ping Gui, Xianfeng Luo, Benbu Liang, Liuliu Fu and Xianrong Zheng

The purpose of this paper is to take advantage of Internet of Things (IoT) for intelligent route programming of crowd emergency evacuation in metro station. It is a novel…

Abstract

Purpose

The purpose of this paper is to take advantage of Internet of Things (IoT) for intelligent route programming of crowd emergency evacuation in metro station. It is a novel approach to ensure the crowd safety and reduce the casualties in the emergency context. An evacuation route programming model is constructed to select a suitable evacuation route and support the emergency decision maker of metro station.

Design/methodology/approach

The IoT technology is employed to collect and screen information, and to construct an expert decision model to support the metro station manager to make decision. As a feasible way to solve the multiple criteria decision-making problem, an improved multi-attributive border approximation area comparison (MABAC) approach is introduced.

Findings

The case study indicates that the model provides valuable suggestions for evacuation route programming and offers practical support for the design of an evacuation route guidance system. Moreover, IoT plays an important role in the process of intelligent route programming of crowd emergency evacuation in metro station. A library has similar structure and crowd characteristics of a metro station, thus the intelligent route programming approach can be applied to the library crowd evacuation.

Originality/value

The highlights of this paper are listed as followings: the accuracy and accessibility of the metro station’s real-time information are improved by integrating IoT technology with the intelligent route programming of crowd emergency evacuation. An improved MABAC approach is introduced to the expert support model. It promotes the applicability and reliability of decision making for emergency evacuation route selection in metro station. It is a novel way to combine the decision-making methods with practice.

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The World Meets Asian Tourists
Type: Book
ISBN: 978-1-78560-219-1

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Book part

Kechinyere C. Iheduru-Anderson and Monika M. Wahi

This chapter proposes a global agenda to eliminate racism in nursing by targeting reform at nursing education administration internationally. First, the history of racism…

Abstract

This chapter proposes a global agenda to eliminate racism in nursing by targeting reform at nursing education administration internationally. First, the history of racism in nursing is reviewed, along with two models – the diversity model and the cultural competence model – that were applied unsuccessfully to counteract racism in nursing. Second, a description of how racism is entrenched in nursing leadership globally is presented. Third, the recalcitrant structures that serve to maintain institutionalized racism (IR) in the international nursing education system are carefully examined. Specifically, the components and constructs involved in IR in nursing education are delineated, and the way in which these negatively impact both ethnic minority (EM) students and faculty are explained. Based on this, a global agenda to eliminate racism in nursing education internationally is proposed. Eliminating racism in higher education in nursing is a mandatory social responsibility if global healthcare is ever to be equitable. Five actionable recommendations are made to eliminate racism in higher education are summarized as follows: (1) components of nursing programs which are designed to eliminate racism in nursing education should be governed at the country level, (2) to design and implement a system of surveillance of the global nursing community to enable standardized measurement to ensure nursing education programs in all countries are meeting anti-racism benchmark targets, (3) nursing education programs should be established worldwide to provide individual pipeline and mentorship programs to ensure the career success of EM nursing students and faculty, (4) nursing education programs should be conducted to reduce barriers to EM participation in these individual support programs, and (5) nursing education programs are required to teach their nursing faculty skills in developing anti-racist curricula that seeks to eliminate implicit bias.

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Civil Society and Social Responsibility in Higher Education: International Perspectives on Curriculum and Teaching Development
Type: Book
ISBN: 978-1-83909-464-4

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Article

Yi Xie, Jia Liu, Shufan Zhu, Dazhi Chong, Hui Shi and Yong Chen

When integrating smart elements offered by emergent technologies, libraries are facing the challenges of technological renovation and maintaining their operation using…

Abstract

Purpose

When integrating smart elements offered by emergent technologies, libraries are facing the challenges of technological renovation and maintaining their operation using emerging technology. Given the importance of smart library, new technologies are needed in building new libraries or renovation of existing libraries. The purpose of this paper is to propose a risk warning system for library construction or renovation in the aspect of risk management.

Design/methodology/approach

The proposed Internet of Things (IoT)-based system consists of sensors that automatically monitor the status of materials, equipment and construction activities in real time. AI techniques including case-based reasoning and fuzzy sets are applied.

Findings

The proposed system can easily track material flow and visualize construction processes. The experiment shows that the proposed system can effectively detect, monitor and manage risks in construction projects including library construction.

Originality/value

Compared with existing risk warning systems, the proposed IoT-based system requires less data for making dynamic predictions. The proposed system can be applied to new builds and renovation of libraries.

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Energy Economics
Type: Book
ISBN: 978-1-83867-294-2

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Book part

Charlott Menke

Research has found that stereotypes affect occupational choices, but there has been almost no research on how they specifically affect the choice of becoming an…

Abstract

Research has found that stereotypes affect occupational choices, but there has been almost no research on how they specifically affect the choice of becoming an entrepreneur. This study bridges different fields of research by combining theories on entrepreneurial intent, self-esteem, and stereotypes. The author argues that in situations of insufficient information individuals assess prospective careers in commercial and social entrepreneurship by means of stereotypes, and the author is the first to explore the influence of commercial and social entrepreneurial stereotypes on an individual’s intention to start a commercial (for-profit) or social (not for-profit) venture. The author uses the framework outlined by the stereotype content model to disclose the existence of distinct stereotypes for commercial and social entrepreneurs exist and, thereafter, the author analyzes the influences of both entrepreneurial stereotypes on the specific startup intentions. The author test the hypotheses with unique survey data from a sample of German non-entrepreneurs which reveals that commercial entrepreneurs are seen as competent but cold, whereas social entrepreneurs are regarded as warm but incompetent. Using structural equation modeling and multi-group analysis, the data implies that higher levels of perceived warmth and competence of commercial entrepreneurs have a positive indirect effect on commercial startup intentions. No such effect was found for social startup intentions; however, the results indicate that a higher societal status of social entrepreneurs exerts a positive indirect impact on the intention to start a social business. The author discusses the practical implications of our approach and point out avenues for future research.

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The Entrepreneurial Behaviour: Unveiling the cognitive and emotional aspect of entrepreneurship
Type: Book
ISBN: 978-1-78973-508-6

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