The application of learning analytics (LA) to research and practice in higher education is expanding. Researchers and practitioners are using LA to provide an evidentiary basis across higher education to investigate student learning, to drive institutional quality improvement strategies, to determine at-risk behaviours and develop intervention…

This dissertation's two primary purposes were to construct an alternative socioeconomic status model and estimate how it predicts student success in higher education. This research filled a gap in knowledge about the widely acknowledged disparities in higher education based on socioeconomic status. Prior research has often relied on parental…

The African Data Initiative started as a crowd-sourced campaign to improve the teaching of statistics in African universities. The analysis of climate data provides one suitable context to illustrate ideas that lead to a radical new form of teaching. The problem within the context comes first, the technicalities are largely reduced -- mathematics…

Big data (BD) is the buzz phrase these days. Everyone is talking about its potential, its volume, its variety, and its velocity. Knowledge management (KM) has been around since the mid-1990s. The goals of KM have been to collect, store, categorize, mine, and process data into knowledge. The methods of knowledge acquisition varied from…

This paper identifies some of the main challenges of data governance modelling in the context of learning analytics for higher education institutions, and discusses the critical factors for designing data governance models for learning analytics. It identifies three fundamental common challenges that cut across any learning analytics data…

The purpose of this study is to propose a framework to evaluate the entrepreneurship intensity (EI) of Iranian state universities. In order to determine EI, a hybrid multi-method framework consisting of Delphi, Analytic Network Process (ANP), and VIKOR is proposed. The Delphi method is used to localize and reduce the number of criteria extracted…

In an effort to identify policies that foster an institutional "culture of teaching," or encourage use of effective pedagogies, this study uses data from 5,612 faculty members at 45 institutions to examine connections between institutional policies and faculty members' perceptions and practices related to teaching and learning. A series of…

Those in the higher education community live in interesting times. For decades, higher education has occupied a relatively stable, trusted position in society, as a place to invest the most precious resources: (1) youth; (2) minds; (3) future; and (4) values. Today, the purpose and value of higher education is under question and under…

William Massy is an emeritus professor and former Vice President for Business and Finance at Stanford University, Teresa Sullivan is President of the University of Virginia, and Christopher Mackie is a Study Director with the National Academies' Committee on National Statistics. This article summarizes the authors' recent National Research Council…

There are increasing demands for higher levels of data assurance in higher education. This paper explores some of the drivers for this trend, and then explains what stakeholders mean by the concept of data assurance, since this has not been well defined previously. The paper captures insights from existing literature, stakeholders, auditors, and…

The NEAIR 2013 Conference Proceedings is a compilation of papers presented at the Newport, Rhode Island, conference. Papers in this document include: (1) Aspiring to the Role of "Data Badass:" Some Thoughts on the Political Context of IR (Mark Freeman); (2) Data-Driven Internal Benchmarks and Successful Learning Outcomes (Mamta Saxena…

The purpose of this study is to examine how a learner self-regulates learning while reading an academic text. In particular, the aim is not to generalize self-regulatory processes for any learning task, but to have an overall idea about how a learner self-regulates. In particular, Pintrich's SRL (self-regulated learning) model is used to find out…

Integrating institutional research, outcomes assessment, program review, strategic planning, and accreditation can be a powerful means of creating a culture of evidence-based decision making and continuous improvement. This study examined how this "integrated" model is organized in practice, how such offices began, why this approach was chosen,…

This State-specific summary report serves as an assessment of the District of Columbia's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. Given that…

This State-specific summary report serves as an assessment of Georgia's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. To support implementation…