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Reciprocal partnerships between institutions of higher education (IHEs) and communities provide opportunities for IHEs to fulfill their core mission while at the same time benefiting communities. One model of institutional accountability for this type of partnership is the Elective Carnegie Community Engagement (CE) Classification. As a process is underway to internationalize the US-based classification, this chapter engages with a central guiding question: How can we best adapt the CE classification’s institutionalizing framework for CE – designed in the context of the United States – in a way that upholds the integrity of engagement practices, adheres to effective strategies for organizational change, and is sensitive to national, cultural, economic, political, social, and historical contexts? In addressing this question, the internationalization strategy is focused on careful adaptation of the application framework so that it can be applied in specific national higher education contexts. The adaptation seeks to incorporate nationally and culturally relevant CE approaches that are reflected in organizational strategies at the institutional level, consistent with the internal logic of the CE classification: valuing expertise of others, working against colonial knowledge regimes, and mindfully building toward increased epistemic justice. This strategy can be a model for internationalization of other processes for IHEs.

This research paper aims to better understand the network structure of higher education in North America. It draws on a relationally networked dataset of 1,292 degree-granting colleges and universities in North America to develop a modularity class approach to categorizing colleges and universities based on their own self-defined peer networks and assesses the utility of the modularity class approach as well as several measures of network centrality for predicting offerings of new curricular fields. Results show that not all measures of network centrality equally predict organizational change outcomes, with hub/authority position being most important. Additionally, results show that an empirically derived modularity class approach to categorizing organizations has important strengths in relation to more typical approaches based on prestige or perceived organizational characteristics. The approaches detailed in this paper will be useful for future analysts seeking to explain the spread of innovations and behavior across the higher education institutional field, as well as those seeking to understand clustering and organizational divergence.

This paper explores trends over time in library staffing and staffing expenditures among two- and four-year colleges and universities in the United States.

Researchers merged and analyzed data from 1996 to 2016 from the National Center for Education Statistics for over 3,500 libraries at postsecondary institutions. This study is primarily descriptive in nature and addresses the research questions: How do staffing trends in academic libraries over this period of time relate to Carnegie classification and institution size? How do trends in library staffing expenditures over this period of time correspond to these same variables?

Across all institutions, on average, total library staff decreased from 1998 to 2012. Numbers of librarians declined at master’s and doctoral institutions between 1998 and 2016. Numbers of students per librarian increased over time in each Carnegie and size category. Average inflation-adjusted staffing expenditures have remained steady for master's, baccalaureate and associate's institutions. Salaries as a percent of library budget decreased only among doctoral institutions and institutions with 20,000 or more students.

This is a valuable study of trends over time, which has been difficult without downloading and merging separate data sets from multiple government sources. As a result, few studies have taken such an approach to this data. Consequently, institutions and libraries are making decisions about resource allocation based on only a fraction of the available data. Academic libraries can use this study and the resulting data set to benchmark key staffing characteristics.

Higher education plays a critical role in the health of the US national economy. At the same time, there are increasing concerns regarding the cost of higher education and the effectiveness with which universities are using their money. Accordingly, the purpose of this paper is to examine changes in higher education productivity over the past 15 years across a sample of more than 500 public universities spanning multiple Carnegie classifications. By utilizing measures generated by a commission of the National Education Council, however, attention is more finely focused on the specific costs and outputs related to instructional activity than previous studies.

This research utilizes the recommendations of the National Education Center committee to examine productivity changes in higher education over the past 14 years. To that end, the hypotheses put forth in this research utilize 15 years data of Institutional Primary Education Data, 549 institutions and 3 productivity measures to assess how productivity in higher education has changed between 2002 and 2015.

The results of the present research suggest that instructional activity (measured as multifactor productivity) has increased in all Carnegie classifications between 2002 and 2016.

The present study, organized by Carnegie classification, does not specify the cost of increased instructional productivity. As noted, there are concerns regarding whether at least some of the choices a university might make to increase instructional productivity – such as increased class size and/or an increased use of non-tenure track faculty – could adversely influence the quality of instruction and/or diminish student learning. Further, this research does not examine the relationship between research productivity and increasing instructional productivity.

The present study does not address the bigger question of whether the increasing costs of higher education are justified, because universities produce much more than student credit hours. While, in an ideal world, these various outputs will complement one another and utilize at least some of the same resources, each has its own unique inputs and associated expenses. Given this, an overall assessment of the value or productivity of a university as a whole is a very difficult thing to determine and is well beyond the scope of a single study.

The present study explicitly focuses on the instructional component of universities and relationship between output and inputs. Ultimately, providing a clearer picture of how instructional productivity in higher education has been increasing over the past 14 years.

This research is the only research of its kind to the best knowledge of the researchers.

Accounting doctoral programs have been ranked in the past based on publishing productivity and graduate placement. This chapter provides descriptions of accounting doctoral programs on a wider range of characteristics. These results may be particularly useful to doctoral applicants as well as to doctoral program directors, accreditation bodies, and search committees looking to differentiate or benchmark programs. They also provide insight into the current shortage of accounting doctoral graduates and future areas of research.

Doctoral programs can be differentiated on more variables than just research productivity and initial placement. Doctoral programs vary widely with respect to the following characteristics: the rate at which doctorates are conferred on women and minorities, the placement of graduates according to Carnegie classification, AACSB accreditation, the highest degree awarded by employing institution (bachelors, masters, doctorate), the extent to which graduates leave the USA, work in industry, are appointed to administrative positions, and hold endowed positions.

During the 20th century, the United States rapidly developed its research capacity by fostering a broad base of institutions of higher education led by a small core of highly productive research universities. By the latter half of the century, scientists in a greatly expanded number of universities across the United States published the largest annual number of scholarly publications in STEM+ fields from one nation. This expansion was not a product of some science and higher education centralized plan, rather it flowed from the rise of mass tertiary education in this nation. Despite this unprecedented productivity, some scholars suggested that universities would cease to lead American scientific research. This chapter investigates the ways that the United States’ system of higher education underpinned American science into the 21st century.

The authors present a historical and sociological case study of the development of the United States’ system of higher education and its associated research capacity. The historical and sociological context informs our analysis of data from the SPHERE team dataset, which was compiled from the Thomson Reuters’ Science Citation Index Expanded (SCIE) database.

We argue that American research capacity is a function of the United States’ broad base of thousands of public and broadly accessible institutions of higher education plus its smaller, elite sector of “super” research universities; and that the former serve to culturally support the later. Unlike previous research, we find that American higher education is not decreasing its contributions to the nation’s production of STEM+ scholarship.

The chapter provides empirical analyses, which support previous sociological theory about mass higher education and super research universities.

The purpose of this study is to analyze the relationship between quality assurance, the traditional a priori approach, and a more recently developed empirical classification of universities, as a means of assessing whether the different classification systems fulfill their original purpose. The study analyzes Chilean university classifications because they have been used in setting up higher education public policies.

The existing classifications of Chilean universities were identified in the literature. Researchers determined categories, criteria and/or indicators used, as well as their main purposes as described by the authors of the classifications. All the criteria and indicators identified were directly related to the quality of academic activities and to the results of the university accreditation processes. The institutional accreditation outcomes and variables were studied using univariate and multivariate statistical analysis.

The a priori approach proved to be consistent with the results of institutional quality assurance, despite of the variability in individual performances. The empirical systems, however, do not show any contribution to the improvement of public policies in higher education. The results clearly show that classifications based on performance do not necessarily ensure improvements in institutional quality.

To the authors’ knowledge, this analysis is the first study of the relationship between university classification and quality assurance. The growing number of proposals for different empirical classifications in Chilean universities is evidence of institutional diversity only. However, the classification designs did not respond to purposes such as public policies improvements and other expected results from these instruments.

This study is the first of a five‐phase research project sponsored by the Council of Environmental Deans and Directors (CEDD), an organization of environmental program managers operating under the umbrella of the National Council for Science and the Environment. The purpose of the project is to determine if a consensus on core competencies for environmental program graduates is achievable, and if so, to make recommendations for consideration by program managers.

Q methodology was used to discern the perspectives of program managers at 42 CEDD member institutions on environmental curriculum design. An online survey preceded the Q sort exercise to elicit managers' curricular views and program characteristics. Survey responses were analyzed to select statements for the Q‐sorting exercise and categorized according to emergent themes. Multiple regression analysis was used to explore the relationship between perspectives (factor loadings) and host institution Carnegie classifications.

Three distinct, but not opposing, perspectives were identified from the initial Q‐factor rotation, which suggests the possibility of agreement on core competencies. The perspectives differ in their views of: curriculum orientation (professional training versus liberal arts), curriculum breadth versus depth, and flexible versus fixed core competencies. Host institution classification (Carnegie) is a small but significant predictor for two of the three perspectives. A second Q‐factor rotation reveals a consensus perspective that accommodates most respondents and aligns well with principles of sustainability, thus suggesting that sustainability may serve as a guiding paradigm for defining areas of core competence.

No national study of program managers' views of curriculum design and the identification of core competencies has been conducted in the USA.

In this chapter, the authors discuss the process of embedding experiential learning in a required ethics and diversity course (ED200). The course is a model of humanistic education in which students develop disciplinary-based methodological expertise while also drawing on cross-disciplinary, inclusive, problem-solving skills. The authors suggest that in a course that challenges students to think about their lives in community, engagement with that community plays a critical role in humanizing the learning experience. This pedagogical emphasis on experiential learning, instantiated as community engagement, unites the foci of ethics and diversity through students’ practical application of and reflection on their experiences to enhance ethical and cultural self-awareness. In the process, it also fosters a desire for participatory and justice-oriented citizenship (Westheimer & Kahne, 2004). In what follows, the authors provide a history of the development of ED200. The authors then justify the inclusion of experiential learning in the course from theoretical and practical perspectives: Why is it valuable to include experiential learning in this course and how does it advance the goal of developing critically engaged citizens through improving ethical reasoning skills and actionable understanding of diversity? Last, the authors detail positive impacts and implementation challenges and indicate next steps for continued development.