Learning Resources

Abstract: There is increased demand to provide facilities that encourage student success. But how do you know if a space "works"? We will focus on how you can link your facilities planning to measurable student success. After reviewing broader national trends, we'll discuss metrics for student success and how space contributes to student success. Finally, we'll focus on tools and solutions that your institution can incorporate into its facilities planning process to ensure your learning spaces contribute to student success.

Abstract: Many institutions are engaged in concurrent, overlapping institutional change initiatives. Being able to plan and align improvement efforts while including all stakeholders without duplicating effort requires new tools and skills. We will share how Olympic College used the planning for a new enterprise resource planning (ERP) system to design improvements in our student-facing systems. You will practice different techniques and tools to visualize institutional processes and identify alignment. We will discuss the use of traditional business management tools to map institutional structures, create cross-departmental capacities, and guide cross-functional teams.

Abstract: Literature points out that big data and analytics (BDA) still fails to positively influence institutional planning—even though it's promoted as a novel approach to improving efficiency and effectiveness. What limits the usefulness of BDA? Researchers point to a lack of conceptual models that translate information into meaningful signals. Nonsense! We're using a metrics-based planning framework that's producing remarkable outcomes. We'll share our framework and how you can apply this concept at your institution.

Abstract: The StudentLink Center, New York University's consolidated services model, has transformed student services delivery. Our highly efficient student-centered model focuses on simplifying services by removing barriers to students. We will show how to maintain a friendly warm-touch environment that leverages technology to streamline business processes, collect data, and utilize obtained data to cross train your team and improve productivity. You will walk away from this session with an understanding of how our service model works and how data collection can serve to enhance cross-training efforts and increase productivity.

Abstract: This article applies the three stages of change (mobilization, implementation, and institutionalization) to the academic curricular process change that occurred during the 2014–2015 academic year at the Indiana University of Pennsylvania. Reflecting on the manner in which this major initiative was conceptualized and executed has revealed an inadvertent yet seamless application of Curry’s (1992) organizational change model. Throughout each stage of this organizational change, some inherent principles were maintained while balancing the required condensed timeline for completion. These principles included consistent and transparent consultation with many branches of the university community and revision of proposed processes based on feedback from community members. The goal of the authors in sharing the change process at IUP is to provide potential insights for others on recognizing a need for organizational process revision. The authors highlight the actions taken at IUP, offer recommendations, and identify potential hazards to institutions contemplating organizational change.