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Increased interest in team dynamics has resulted in new methods for measuring teamwork over time. The primary purpose of this chapter is to provide a survey of recent developments in teamwork/collaboration measurement in an educational context. Key topics include conceptual frameworks, large-scale assessments, and innovative measurement techniques.

A range of methods for collecting and analyzing teamwork data are discussed, and five frameworks for measuring collaborative problem solving (CPS) over time are compared. Frameworks from Programme for International Student Assessment (PISA), Assessment and Teaching of 21st Century Skills (ATC21S) project, Educational Testing Service (ETS), ACT, and von Davier and Halpin (2013) are discussed. Results of assessments developed from these frameworks are also considered.

New techniques for measuring team dynamics over time have great potential to improve education and work outcomes. Preliminary results of the assessments developed from these frameworks show that important advances in teamwork measurement have been enabled by innovative task designs, data-mining techniques, and novel applications of stochastic models.

This novel overview and comparison of interdisciplinary approaches will help to indicate where progress has been made and what challenges are ahead.

This study explores the impact of parents’ and children’s early expectations on children’s later school persistence and completion of compulsory and secondary education, paying special attention to the parent-child agreement in early educational expectations. Results from analyzing longitudinal data from the Gansu Survey of Children and Families (GSCF) show that children often carry educational expectations quite different from their parents’. Consistent with previous research, children’s and their parents’ early expectations are strong predictors of children’s later educational attainment. More importantly, the analysis reveals that children benefit greatly when they share with their parents’ high expectations. Those children whose high expectations aligned with their parents fair best in later educational outcomes: They are more likely to complete compulsory education and secondary education. The combined determination of parents and children can help moderate the negative impact of poverty and facilitate children’s continued efforts in fulfilling their expectations. This positive impact holds even for children from the most impoverished families. This study points to the importance to recognize that there are non-material resources that family could provide to advance children’s education.

Drawing on the social cognitive theory, this study investigated the effect of mentors' drinking norms on their protégés' alcohol misuse by focusing on the mediating role of conformity drinking motives and the moderating role of moral disengagement. We conducted a three-wave survey of 148 mentor–protégé dyads and found that mentors' drinking norms were positively related to their protégés' alcohol misuse and that this relationship was fully mediated by conformity drinking motives. Moreover, the moderated mediation model revealed that moral engagement strengthens the main effects of mentors' drinking norms on conformity drinking motives and the indirect effects of mentors' drinking norms on protégés' alcohol misuse via enhanced conformity drinking motives. The theoretical and practical implications are discussed.

This chapter examines China’s corporate governance and accounting environment that shapes the adoption of internationally acceptable principles and standards. Specifically, it examines international influences, including supranational organizations; foreign investors and international accounting firms; domestic institutional influences, including the political system, economic system, legal system, and cultural system; and accounting infrastructure. China’s convergence is driven by desired efficiency of the corporate sector and legitimacy of participating in the global market. Influenced heavily by international forces in the context of globalization, corporate governance and accounting practices are increasingly becoming in line with internationally acceptable standards and codes. While convergence assists China in obtaining legitimacy, improving efficiency is likely to be adversely affected given that corporate governance and accounting in China operate in an environment that differs considerably from those of Anglo-American countries. An examination of the corporate governance and accounting environment in China suggests heavy government involvement within underdeveloped institutions. While the Chinese government has made impressive progress in developing the corporate governance and accounting environment for the market economy, China’s unique institutional setting is likely to affect how the imported concepts are interpreted and implemented.

A total of 12 chapters in this volume represent some current research on important topics in finance and economics. Bajaj et al. demonstrate through a time series analysis that the IPO underwriting spreads seem to be competitive, in contrast to the findings of Chen and Ritter (2000). Sealey argues that it is necessary for the regulator and deposit insurer to be an integral part to mitigate the moral hazard problem in bank regulation. Lee develops a multi-period pricing model to examine the impact of forbearance and potential moral hazard behavior on the cost of deposit insurance. Hao and Roberts show that lead lenders have significant positive influence on loan yield spreads. Daly et al. show that coincident indicators developed to track a state's gross outputs have significant influence on state-level aggregate bank performance.

The changing U.S. demographics, characterized by the rapid growth in immigration (Suarez-Orozco, 2003; U.S. Census Bureau, 2000), and the No Child Left Behind (NCLB) legislation are good reasons to prompt all educational stakeholders to seriously examine the practices of educating learners at risk of educational failure. Among at-risk learners, a significant portion is made up of English language learners (ELLs), especially those who are newcomers (i.e., ELLs who are fairly new to the school community in the United States with little or no English proficiency). The last census revealed that immigration accounts for more than “70% of the growth of the American population,” and that “the foreign born-population reached 30 million” (Portes & Hao, 2004, p. 1). Of this group, Hispanic students comprise the fastest growing group, and among Hispanics born outside the United States, 44.2% drop out from the educational system between the ages of 16 and 24 years (National Center for Education Statistics, 2001). For this reason, discussions and debates on the best way to educate ELLs for effective English language acquisition leading to academic achievement in U.S. schools remain at the forefront of educational debates. At the core of this discussion, the question of whether or not to provide bilingual education services to learners for whom English is not their dominant or native language remains as one of the, if not the, greatest long-standing political, ideological, educational battles in the United States.

This paper attempts to critically question present IPE approaches and analyses that aim at assessing China’s role within the international political economy. Thus, unlike common theorizations that see the country as being integrated within US hegemony (Panitch and Gindin) or those accounts that claim that we are already witnessing the “terminal crisis” of US hegemony accompanied by a hegemonic transition toward China (Arrighi), the paper will argue that China was able to gain “relative geopolitical autonomy” as a result of the revolutionary processes it went through and eventually assert itself as a contender state, now just in the process of challenging US hegemony. Dissatisfied with existent theorizations of hegemony, I will be drawing on the critical edition of Gramsci’s Quaderni and attempt to offer a new perspective regarding the conceptualization thereof. Thus applying the elaborated framework of analysis to the current situation, I argue that unlike the US’s ability to counter the challenge of its traditional imperial rivals Germany and Japan as they developed under the grip of US hegemony, the country is facing difficulties in countering China’s ascent. However, while maintaining that China does indeed represent a challenge to US hegemony, particularly in East Asia, I will argue that the idea of a “crisis of US hegemony” is premature as China remains distant from fully realizing hegemonic relations, even at the regional level.

This chapter proposes semiparametric estimation of the relationship between growth rate of GDP per capita, growth rates of physical and human capital, labor as well as other covariates and common trends for a panel of 23 OECD countries observed over the period 1971–2015. The observed differentiated behaviors by country reveal strong heterogeneity. This is the motivation behind using a mixed fixed- and random coefficients model to estimate this relationship. In particular, this chapter uses a semiparametric specification with random intercepts and slopes coefficients. Motivated by Lee and Wand (2016), the authors estimate a mean field variational Bayes semiparametric model with random coefficients for this panel of countries. Results reveal nonparametric specifications for the common trends. The use of this flexible methodology may enrich the empirical growth literature underlining a large diversity of responses across variables and countries.

This chapter highlights our survey that identifies faculty recommendations for incorporating emerging digital technologies to deliver eLearning content in online courses that help students learn more effectively. Results from the survey, which includes a sample of 478 online faculty at two higher education institutions, are presented.

In the findings of the survey, respondents identified several instructional technologies such as augmented reality (AR), virtual reality (VR), mixed reality (MR), and artificial intelligence (AI) as being on the cusp of changing learner engagement options and could soon become standard tools for the online course environment. While respondents predict an acceleration of new technology activity, they also caution that these technologies need a strong pedagogical foundation to match student needs and generate new use-learning real case scenarios.

This sentiment implies a more systematic approach to problem-solving that follows a process of identifying and refining multiple options to determine best practices for faculty preparation and staff development. The results of the survey included in this chapter are a directional means to help instructors and course designers explain what is relevant and exciting about techniques that can be employed and identify and use the emerging technological tools that enhance the delivery of instruction while meeting the ever-changing and dynamic needs of today’s learners.

This chapter focuses on the state-of-the-art modeling approaches used in Intelligent Tutoring Systems (ITSs) and the frameworks for researching and operationalizing individual and group models of performance, knowledge, and interaction. We adapt several ITS methodologies to model team performance as well as individuals’ performance of the team members. We briefly describe the point processes proposed by von Davier and Halpin (2013), and we also introduce the Competency Architecture for Learning in teaMs (CALM) framework, an extension of the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare, Brawner, Goldberg, & Holden, 2012) to be used for team settings.