Learning Resources

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 is based on follow-up survey research from a doctoral case study that highlighted effective retention practices for low-income and/or single mothers who were students within the Women in Transition (WIT) program at Charter Oak State College. The concept of retention in this instance is an enrollment management practice aimed at maintaining a student population while aiding the institution in sustaining organizational success. Emphasis is placed on the retention concepts of social and academic integration that enabled the specific population to persist and succeed.

Abstract: This article presents a framework for developing a meta-assessment process for evaluating assessment practices in higher education institutions. Meta-assessment is important for improving assessment processes, setting clear expectations, and efficient decision-making. The comprehensive literature on this topic that is included in this article suggests that developing meta-assessment rubrics is an effective method for evaluating assessment. The meta-assessment results can be used in combination with qualitative resources to encourage program self-improvement. At the American University of Beirut, different meta-assessment checklists were developed based on best practices for evaluating program learning outcomes assessment, unit outcomes assessment, periodic program review, and periodic unit review.

Abstract: Curriculum complexity impacts several aspects of student success, including time to degree, persistence, and the accumulation of student debt. This article describes the process of measuring and analyzing course prerequisites and sequencing. It outlines strategies to engage campus leadership and faculty in effectively improving curriculum and ensuring that support services are focused on the greatest area of need.

Abstract: Having been on both the inside of regional accreditation and outside looking back on it, Lynn Priddy knows that accreditation has long tried to revolutionize itself, while at the same time increasingly becoming subject to federal regulatory burdens and expectations from the Department of Education. That has backed it into becoming a bureaucracy at the very time it needed to break out to focus on innovation, learning, and student success.

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: This article explores the impact of tuition increases on student retention and higher education admission and retention planning for racial and ethnic minorities. Research shows that the racial and ethnic minority student population on campus is negatively affected by tuition increases. Literature is examined for potential impacts of tuition increases on a student’s decision of school choice. And although literature provides little in the way of recommendations for resolving the issues associated with tuition increases, this article offers some suggestions for student retention planning.

Abstract: Big data and analytics are promoted as an approach that can improve educational quality, student success, strategic and operational decision-making, and knowledge discovery. Over the last three decades, the University of Texas at El Paso has refined its planning system and integrated metrics within a comprehensive planning framework—to produce dramatic outcomes. The article describes the institution’s metrics-based planning approach and the context that produced it.

Abstract: Challenging times continue for higher education: calls for more accountability, assessment of outcomes, evidence of institutional performance, relevance for life and careers, and student success. Integrated strategic planning and decision making in this ever-changing environment is critical for campus leadership. To maximize accountability, assessment, analytics, and accreditation, it is imperative for campus leaders to develop an integrated approach that begins with standard metrics, aligns with performance-based goals, and connects with accreditation requirements. Analytics, learning analytics, and learning management systems provide the crucial link to learning standards that support the reporting, monitoring, and improvement of student learning.