Learning Resources

Abstract: Edited by Karen L. Webber and Henry Y. Zheng
Johns Hopkins University Press: Baltimore: 2020
324 pages
ISBN: 978-1-4214-3903-7

Abstract: The purpose of the research was to observe process maturity associated with the design and development of mission-aligned online academic programs at Jesuit institutions in the United States. Twenty of the twenty-seven American Jesuit institutions were represented, including respondents who were most responsible for implementing the process used to design and develop online courses and programs. A custom survey was created to measure the process maturity involved in planning, implementing, and evaluating the design and development. The research design focused on narrative analysis of each institutional mission, which identified themes and keywords that were included in the custom survey.

Abstract: This article outlines the process by which a public university sought to develop and grow a culture of problem-solving and innovation at a time when the institution was undergoing a number of transitions. By developing a Barriers Team, the institution brought together a group of individuals representing all aspects of the university and charged the members with tackling barriers to success. The authors outline how they used the institution’s strategic plan as a starting point, and then describe the steps, provide examples, and reflect on the long-range viability of the approach.

Abstract: An Optimizing Academic Balance (OAB) analysis provides colleges and universities with effective tools to use in making strategic academic decisions needed to stay competitive in the context of institutional mission, program quality, market potential, cost, and revenue. The Association of Independent Kentucky Colleges and Universities recently completed a three-year statewide OAB project with the participation of 13 higher education institutions. The results supported the colleges and universities in making tough decisions.

Abstract: Data analytics related to student and institutional performance have evolved quite rapidly—and continue to advance—as the field of data science captures more attention across the higher education sector. And while data-informed decisions can help institutional leaders achieve their goals, there are increasing examples of analyses or visualizations that, when presented without the proper framework, result in misinterpretation and inaccurate conclusions. Context is critical, and erroneous deductions may lead to decisions that adversely affect student performance, program development, and policy changes.

Abstract: Within the last several years, higher education institutions have embraced the language of an “anchor mission” to define their place-based commitments. This case analysis details the role of data in promoting systematic local change in six institutions participating in the Anchor Dashboard Learning Cohort. These institutions committed to measuring community impact through the Anchor Dashboard, a tool to understand and enhance local commitments along several social and economic dimensions. This article details the promises and pitfalls of developing an institution-wide, place-based mission led from different institutional levels—from the president’s office to faculty-led centers—using this data tool.

Abstract: This article describes execution of the balanced scorecard (BSC) strategic framework in a School of Nursing (SoN). The SoN strategy map was the outcome of the development phase. The two-year implementation phase incorporated balanced scorecards that linked outcome measures to the priority strategies. Thirty-two percent of the defined outcome measures were met. Factors in adopting the BSC framework included development of a strategic plan that supports the college mission and vision, improved communication within the SoN, a united effort to institute strategies to sustain the SoN’s future, and establishment of performance indicators to measure success in achieving those strategies.

Abstract: In 2009 the Arizona University System (supporting over 130,000 enrollments) through its Board of Regents directed its board president and the presidents of Arizona State University, University of Arizona, and Northern Arizona University to create an operational plan that reflected the board’s vision, goals, and strategic directions. A primary objective was to transform the system (or enterprise) vision into concrete goals and outcomes that would directly connect to financial decision making at the system and university level. The backdrop for higher education planning and budgeting expectations included the continuation of severe reductions in state funding, rapidly increasing student tuition and fees, and a call for greater accountability. The planning processes were characterized by the integration of board and presidential discussions, inclusion of constituent debate, identification of strategic choices, and approval of outcomes focused on measuring performance. The integration ran across and within three organizations or levels that included the Arizona Board of Regents, its system administration, and the three universities.

Abstract: Student success analytics promise to dramatically improve our capacity to increase student success across the entire spectrum of the student life cycle and throughout the student experience. Institutions will move beyond institutional accountability statistics to improve performance at the level of student success processes, practices, and interventions. Ultimately, these new processes, practices, and interventions promise to enable institutions to reinvent and personalize approaches to success.
By leveraging analytics and data science, leading-edge institutions “optimize” student success for individuals and cohorts by making student success a mission-critical, overarching institutional strategy. “Student success science” is a critical ingredient in reimagining higher education. This article provides a road map for institutional leaders on how to raise their analytics IQ so that they can leverage these practices to better serve their students, improve performance, and demonstrate value.
The use of analytics is potentially a key ingredient in sense making and decision making in all aspects of institutional performance and is critical in improving student success. Enlightened higher education leaders are committing to analytics and data science that deliver active interventions that improve student success.