Learning Resources

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.

Abstract: This article uses the results of a national study to propose several multidimensional planning models for institutional planners and researchers. It focuses on developing, supporting, and using a number of dimensions within six domains that the research study identified as important factors for inclusion in planning models. The domains are external influences on student assessment, institutional context (type, control, and size), institutional approach to student assessment, institution-wide support for student assessment, assessment management policies and practices, and uses and impacts of student assessment.

Abstract: A Practical Guide to Strategic Planning in Higher Education is a resource for anyone engaged in college or university strategic planning; it is also an excellent primer for planning committees. Using clear definitions, practical tips, and examples drawn from actual situations, this short book acts as a manual for both experienced planners and those who are new to the process. This second edition also contains new strategies for using an institution’s strategic plan during times of institutional upheaval, and additional techniques for jump-starting various parts of the planning process.

Abstract: This is part one of a three-part program series, “Integrated Planning to Build a Thriving Academic Program Portfolio.” These discussions will help you build a strategic and sustainable program portfolio that is mission-centered, data-informed, student-centered, and focused on growth opportunities.

Abstract: For the past 20 years, higher education has invested heavily in improving student success, using new data and analytics systems, tools, and practices. Improvements and progress across higher education have mostly failed to meet expectations. But the arrival of next-generation artificial intelligence (AI) provides an exceptional opportunity. By combining AI with human intelligence (HI), we can create a powerful collaborative intelligence that can be embedded in learning processes, tools, and practices, enterprise-wide. AI can accelerate the long-overdue transformation of higher education. This article describes how to combine AI and HI in collaborative intelligence to significantly improve student success.

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: Data is only as powerful as your understanding around it. Analytics makes possible new understandings of students and their needs, and creates an advanced ability to improve student success through use of new software being implemented on campuses around the world.

This handbook is designed to help any higher ed leader unleash the power of data that is always available but seldom leveraged. It helps to answer the questions, (1) How does a campus strategically develop a plan for use of analytics in better supporting their students? (2) Once a culture is in place, how do leaders effectively move new evidence into action? This primer walks readers through each step of the analytics adoption.

Abstract: FLEXSpace—The Flexible Learning Environments eXchange—and the Learning Space Rating System (LSRS) are tools that can help you plan, design, assess, and improve learning spaces on your campus. In this session, you will learn about the newly released FLEXspace 2.0 along with the LSRS. We'll cover the features and benefits of both tools and how they can be incorporated into the planning process. Come learn how to use these tools to inform designs and support end users from planning through post occupancy.

Abstract: A review of “Assessing Educational Outcomes,” by Peter T. Ewell, (ed.), New Directions for Institutional Research Issue Number 47, San Francisco: Jossey-Bass, Inc., 1985.

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.