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Social and technological changes of the 21st century influence how and what students learn while in college. New research about student learning suggests a critical need for higher education to reform teaching and learning methods. Experiential and inquiry-based learning (IBL) are essential to engaging students and achieving the type of learning demanded by today’s global workforce. These skills include critical analysis, systems thinking, problem-solving, and spanning cultural and disciplinary boundaries. For decades, international educators purported that education abroad provided these skills for participants, yet recent research suggests that the same factors inhibiting deep learning on campus can also affect global, experiential environments. No longer can faculty members assume that students will learn from experience alone; they must intentionally construct activities accounting for the specific characteristics and needs of learners. This chapter outlines trends influencing student learning, making the case that traditional, content-based, directed instruction is poorly suited for student learning in the 21st century. The authors suggest that applying experiential and inquiry-based practices is essential to constructing effective education abroad program. Case studies, strategies, tools, and resources are provided to assist faculty with developing competencies to teach through an experiential and inquiry-based pedagogical framework.

This chapter provides an introduction to how the inquiry-based learning (IBL) approach is being used by colleges and universities around the world to improve faculty and institutional development and to strengthen the interconnections between teaching, learning, and research. This chapter provides a synthesis and analysis of all the chapters in the volume, which present a range of perspectives, case studies, and empirical research on how IBL is being used across a range of courses across a range of institutions to enhance faculty and institutional development. This chapter argues that the IBL approach has great potential to enhance and transform teaching and learning. Given the growing demands placed on education to meet a diverse range of complex political, economic, and social problems and personal needs, this chapter argues that education should be a place where lifelong and lifewide learning is cultivated and where self-directed learning is nurtured. To that end, this chapter argues that IBL helps cultivate a learning environment that is more meaningful, responsive, integrated, and purposeful.

Purpose — This chapter reviews the key findings of the reported research in this volume using the wider international literatures on transport and social exclusion as its conceptual framework. It begins by briefly summarising the research and policy context in which the study is set. It then provides an overview of major conceptual, theoretical and methodological advancements relevant to this area over the last 10 years in order to evaluate the study’s contribution to research, policy and practice internationally.

Methodology — The conceptual framework for this chapter is based on a comprehensive review of the international literatures on transport and social exclusion. After a brief introduction to these, it outlines key conceptual, theoretical and methodological advancements as they pertain to transport-related social exclusion. In addition, it evaluates the scope and implications of the methodological approach with particular reference to contemporary scholarly debates in this area. The chapter subsequently explores the applicability of the research in policy and practice, both inside and outside the Australian context.

Findings — The chapter concludes that the research has made a significant contribution to conceptual, theoretical and methodological developments within the area of transport-related exclusion, and has helped move forward related debates within policy circles. Opportunities for further research are also identified.

Many dynamic problems in economics are characterized by large state spaces which make both computing and estimating the model infeasible. We introduce a method for approximating the value function of high-dimensional dynamic models based on sieves and establish results for the (a) consistency, (b) rates of convergence, and (c) bounds on the error of approximation. We embed this method for approximating the solution to the dynamic problem within an estimation routine and prove that it provides consistent estimates of the modelik’s parameters. We provide Monte Carlo evidence that our method can successfully be used to approximate models that would otherwise be infeasible to compute, suggesting that these techniques may substantially broaden the class of models that can be solved and estimated.

One of the most significant changes in monetary economics at the beginning of the twenty-first century has been the virtual disappearance of what was once a dominant focus, the role of money in monetary policy, and parallelly, the disappearance of the liquidity preference-money supply (LM) curve. Economists used to consider monetary policy with the help of the LM curve as part of the analytical framework which captures the demand for money. However, the workhorse model of modern monetary theory and policy, the New Keynesian Dynamic Stochastic General Equilibrium (DSGE) framework, only comprises the dynamic investment-savings (IS) curve, the New Keynesian (NK) Phillips curve, and a monetary policy rule. The monetary policy rule is generally known as the Taylor rule. It relates the nominal interest rate to the output-gaps and inflation-gaps, but typically not to either the quantity or the growth rate of money. This change in the modern monetary model reflects how the central banks make monetary policy now. This study provides a detailed discussion on the role of money in monetary policy formulation in the context of the NK and the New Monetarist perspectives. The pros and cons of abandonment of money or the LM curve from monetary policy models have been discussed in detail.

This research explores perceptions of knowledge management processes held by managers and employees in a service industry. To date, empirical research on knowledge management in the service industry is sparse. This research seeks to examine absorptive capacity and its four capabilities of acquisition, assimilation, transformation and exploitation and their impact on effective knowledge management. All of these capabilities are strategies that enable external knowledge to be recognized, imported and integrated into, and further developed within the organization effectively. The research tests the relationships between absorptive capacity and effective knowledge management through analysis of quantitative data (n = 549) drawn from managers and employees in 35 residential aged care organizations in Western Australia. Responses were analysed using Partial Least Square-based Structural Equation Modelling. Additional analysis was conducted to assess if the job role (of manager or employee) and three industry context variables of profit motive, size of business and length of time the organization has been in business, impacted on the hypothesized relationships.

Structural model analysis examines the relationships between variables as hypothesized in the research framework. Analysis found that absorptive capacity and the four capabilities correlated significantly with effective knowledge management, with absorptive capacity explaining 56% of the total variability for effective knowledge management. Findings from this research also show that absorptive capacity and the four capabilities provide a useful framework for examining knowledge management in the service industry. Additionally, there were no significant differences in the perceptions held between managers and employees, nor between respondents in for-profit and not-for-profit organizations. Furthermore, the size of the organization and length of time the organization has been in business did not impact on absorptive capacity, the four capabilities and effective knowledge management.

The research considers implications for business in light of these findings. The role of managers in providing leadership across the knowledge management process was confirmed, as well as the importance of guiding routines and knowledge sharing throughout the organization. Further, the results indicate that within the participating organizations there are discernible differences in the way that some organizations manage their knowledge, compared to others. To achieve effective knowledge management, managers need to provide a supportive workplace culture, facilitate strong employee relationships, encourage employees to seek out new knowledge, continually engage in two-way communication with employees and provide up-to-date policies and procedures that guide employees in doing their work. The implementation of knowledge management strategies has also been shown in this research to enhance the delivery and quality of residential aged care.