Search results

This chapter examines the professional background, trajectories, and learning of a broad group of teacher educators involved in initial teacher education. The work specifically identifies those who shape the practice of teaching. The authors who are members of the International Forum on Teacher Educator Development (InFo-TED) were key to the creation of InFo-TED, NA (North America), which has used Zoom technology to launch and spread its efforts. Its central purpose is to spur teacher educators and policymakers to embrace new ways to educate all children.

In this chapter, we develop the “hall of mirrors” metaphor for practicum learning, introduced in Schön (1987) and expanded upon in MacKinnon (1989), as a heuristic for considering the ways in which we might claim that our practice has transformed through engaging with self-study methodology. First, we reconsider Schön's (1987) ideas about professional learning and their implications for our understanding of self-study, specifically, his claim that professional learning is unique in that a hall of mirrors is created “on the basis of parallelisms between practice and practicum” (p. 297). This parallelism is particularly relevant for teacher educators as we often aim to engage our students in the very practices we hope they will enact in schools. In so doing, we consider MacKinnon's cautions about over-simplifying any model of teacher education. Second, we use these ideas to each select excerpts from self-study work we have conducted in our careers to identify moments of transformed thinking about teacher education. Finally, we arrived at a new metaphor of a concave mirror for a retrospective look at the results of our self-study investigations. A concave mirror, unlike its planar counterpart, creates different orientations of images (right-side up vs. up-side down), depending on how far an object is away. We develop this final metaphor as a way of thinking about the differences inherent in treating self-study work at a distance, after some time has passed from the original moments when we were embedded in a hall-of-mirrors relationship with our students.

The aim of this study is to explore the extent to which a transnational pedagogical training affected university teachers' approaches to teaching, as well as their efficacy beliefs and cultural perceptions, and to examine how such training could stimulate teachers' pedagogical-development processes beyond the specific context.

An explanatory sequential mixed-methods design was adopted for the study. Quantitative data were collected through an online self-reported questionnaire from two-independent samples, both before (n = 119) and after (n = 110) the training. Qualitative data were collected after the training through episodic narrative interviews with five teachers.

The quantitative and qualitative findings indicate contradictory aspects of the teaching approach and perceived culture. While the questionnaire responses highlighted the dominance of teacher-centred teaching approaches and an individualistic culture, a thematic analysis of the interview data showed that teachers experienced pedagogical development as (1) increasing student engagement, (2) improving their own teaching practices, (3) a community activity and (4) an institutionalised process.

The design of the current research may have limited the authors’ potential to deeply investigate the effect of the transnational pedagogical training, as only snapshots of the teachers' perceptions were elicited. Future studies might consider a within-subject longitudinal design to thoroughly follow teachers' trajectories in learning and development over time.

The research findings suggest that transnational pedagogical training initiatives are to be promoted amidst these uncertain times. Even though the focus of the study was not to explore the teachers' perceptions of teaching development during the pandemic, the current results imply that the mentioned training helped teachers in tailoring their pedagogical practices to suit the unexpected online teaching settings.

The study adds to the relatively new literature on the perceived effect of transnational pedagogical training initiatives. This study’s findings contribute to the body of knowledge related to pedagogical development in fragile and conflict-affected contexts.

In recent decades, infrastructure has continued to develop as an important basis for social development and people's lives. Resource management of these large-scale projects has been immensely concerned because dozens of construction enterprises (CEs) often work together. In this situation, resource collaboration among enterprises has become a key measure to ensure project implementation. Thus, this study aims to propose a systematic multi-agent resource collaborative decision-making optimization model for large projects from a matching perspective.

The main contribution of this work was an advancement of the current research by: (1) generalizing the resource matching decision-making problem and quantifying the relationship between CEs. (2) Based on the matching domain, the resource input costs and benefits of each enterprise in the associated group were comprehensively analyzed to build the mathematical model, which also incorporated prospect theory to map more realistic decisions. (3) According to the influencing factors of resource decision-making, such as cost, benefit and attitude of decision-makers, determined the optimal resource input in different situations.

Numerical experiments were used to verify the effectiveness of the multi-agent resource matching decision (MARMD) method in this study. The results indicated that this model could provide guidance for optimal decision-making for each participating enterprise in the resource association group under different situations. And the results showed the psychological preference of decision-makers has an important influence on decision performance.

While the MARMD method has been proposed in this research, MARMD still has many limitations. A more detailed matching relationship between different resource types in CEs is still not fully analyzed, and relevant studies about more accurate parameters of decision-makers’ psychological preferences should be conducted in this area in the future.

Compared with traditional projects, large-scale engineering construction has the characteristics of huge resource consumption and more participants. While decision-makers can determine the matching relationship between related enterprises, this is ambiguous and the wider range will vary with more participants or complex environment. The MARMD method provided in this paper is an effective methodological tool with clearer decision-making positioning and stronger actual operability, which could provide references for large-scale project resource management.

Large-scale engineering is complex infrastructure projects that ensure national security, increase economic development, improve people's lives and promote social progress. During the implementation of large-scale projects, CEs realize value-added through resource exchange and integration. Studying the optimal collaborative decision of multi-agent resources from a matching perspective can realize the improvement of resource transformation efficiency and promote the development of large-scale engineering projects.

The current research on engineering resources decision-making lacks a matching relationship, which leads to unclear decision objectives, ambiguous decision processes and poor operability decision methods. To solve these issues, a novel approach was proposed to reveal the decision mechanism of multi-agent resource optimization in large-scale projects. This paper could bring inspiration to the research of large-scale project resource management.

Although the UN Sustainable Development Goals (SDGs) emphasize the importance of leaving no one behind, the opposite is happening for the world's 89 million forcibly displaced people who are mostly left out of SDGs’ reporting and progress. A key reason for this poor outcome is that host country governments plan refugee camps as short-term shelters, but refugees stay in these camps for more than a decade on average due to ongoing conflicts in their home country. This disparity between intent and reality prevents sustainable living conditions for refugee populations. Operational innovations are needed to find sustainable solutions that ensure a higher quality of life and progress toward sustainability in refugee camps.

Through an abductive case study, the authors develop a theoretical framework on sustainable operational innovations for refugee camps. The authors use this framework to analyze four sustainable operational innovations implemented in three refugee camps in Jordan.

The authors develop three research propositions that describe the conditions required for these operational innovations to succeed: they need to include specific needs and cultural preferences of refugees, they must accommodate host governments' restrictions that limit permanent settlement, and finally, technological innovations require careful data management policies to protect refugees. Doing this, the authors account for the broader political-economic and ecological environments that refugee camps are embedded in.

This paper opens a new area of research on sustainable innovation in humanitarian operations. It provides insights into key contingency factors moderating the link between operational innovations and sustainability outcomes. It represents one of the few studies that build their theorizing upon field data collected in refugee camps.

Although data rich building information models have been widely adopted in the Architecture Engineering and Construction (AEC) industry in the United Kingdom (UK), use of 2D drawings on site for construction is still the norm. The ability of 2-dimensional (2D) drawings to convey complex 3-dimensional information is limited and requires interpretation from operatives, and 2D drawings can be quickly superseded by model updates. Although constructing directly from a model has been adopted in the aerospace and automotive industries, its use in construction is in its infancy. This research therefore aims to investigate the potential for, and barriers to, model-based construction in the UK.

This research uses a qualitative approach, thematically analysing 13 semi-structured interviews with UK-based construction professionals who have experience of paperless or model-based construction.

Although model -based construction has been implemented to a limited extent on some civil engineering projects; research and investment in software, network capacity, legal and contractual issues, and cultural and human factors will need to be considered before model-based construction can be implemented more widely.

The research contributes to an understudied, emergent area of construction practice and outlines hurdles that need to be understood and overcome before more widespread adoption of model-based construction can take place.