Topic: Student learning and outcomes

Introduction In fall 2015, Ithaka S+R invited a select group of higher education administrators and experts to join a panel of advisors. One activity of the panel, which currently consists of 111 members with diverse backgrounds and perspectives, is to take part in semi-annual surveys on issues of national importance in higher education. The first of these surveys was administered in the fall of 2015.[1] Ithaka S+R analyzes and publishes the results of these surveys to inform…

The second Asilomar convention organized by Stanford University and Ithaka S+R in June 2016 brought together a group of academics to facilitate a review of how student data is currently used in higher education. The discussions aimed to synthesize current best practices to specify norms for the ethical use of student data; and inform institutional, national and global policies regarding the research, application, and representation of adult student data. This paper focuses on the applications strand which sought to yield…

Abstract: This paper provides a brief history of the development and evolution of the student record. It argues that this history is best considered as generally consisting of three distinct periods: (1) an early period (1840-1910) that was characterized by large variation in student record keeping and a lack of defined relationships and hierarchy among educational institutions and levels. Uniformity in student record keeping—particularly with the adoption of the Carnegie Unit—became a way of solidifying practices of record keeping…

Every human undergoes a unique, life-long process of learning. Mostly, this process is informal, even accidental. Occasionally we choose to enter more structured learning environments – classrooms and seminars, schools and colleges – intentionally designed by more experienced individuals to foster, evaluate, and represent our progress. All of these experiences, from coincidental encounters to bureaucratized degree programs, make us who we are. Everyone involved in this process has decisions to make. Individuals engaged in learning make choices constantly: Should I…

Newly available data are making it possible to understand, improve, and represent student learning and other outcomes in profoundly different ways. With online learning platforms, technology-enabled educational tools, and other digital technologies, data about students and student learning in post-secondary settings have become unprecedentedly extensive and easy to access, interpret, and share. This growing ubiquity and granularity offer new opportunities for institutions, researchers, instructors, and other organizations to put student data to myriad uses: researchers can better understand student learning…

As our world becomes increasingly interconnected politically, economically, culturally, and socially, higher education has followed suit. The 2011 survey by the American Council of Education’s Center for Internationalization and Global Engagement found a perceived acceleration of internationalization across campuses, from doctoral to associate degree institutions.[1] The definition of what that means for each institution varies. Graham Elkin, Faiyaz Devjee, and John Farnsworth developed a 13-scale model to assist universities in evaluating where they are presently and where they…

Conventional conceptualizations of the “typical” college student as an eighteen-year old, full-time, residential student poorly match reality. Roughly 70 percent of today’s college students are “nontraditional students,” meaning that they are over the age of 24, commute to campus, work part or full-time, are financially independent, or have children. Some enter college with only a GED, while others are reentry students with an assemblage of credits from various institutions. Many of these students are low-income, the first in their families…