Learning Resources

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: The City University of New York's (CUNY) Accelerated Study in Associate Programs (ASAP) assists students in earning associate degrees within three years by providing a comprehensive range of financial, academic, and personal supports. Completion rates at community colleges remain extremely low; however, CUNY's ASAP students earned their associate degrees at substantially higher rates than non-ASAP students, even when a longer timeframe was considered. In this session, you will learn about CUNY's ASAP model, how it receives operating and capital funding, and how the physical spaces that support the program were identified, designed, and renovated.

Abstract: Born out of a belief that higher education must improve its delivery of service, the School of Education and Human Services at Oakland University initiated and implemented a quality system. To better respond to market need, this initiative focused on current behavior and the future needs of the students, faculty, and school-at-large. This article reports the steps taken, lessons learned, and recommendations developed for implementing a quality initiative process successfully within a university culture. The outcome of this process was the creation of a template that can be used by other units in higher education.