(Hannah Fry, The New Yorker): Review of two books on data and statistics, with commentary on both the power and peril of using data to drive decisions; March 22, 2021
(Esther Shein, Communications of the ACM, Vol. 63, No. 4, pp. 18-20, ): Overview of some functions of the use of data for supporting students, including discussion on data governance; April 2020
(Forbes): Using big data in higher education is not neutral and can be prejudiced, but embracing data-driven decisions and predictive models can advance student success; May 30, 2019
Turning more tassels: How colleges and universities are improving student and institutional performance with better advising, , In partnership with the Bill & Melinda Gates Foundation and NASPA, the Boston Consulting Group (BCG) studied the return on investment of broad-based advising reforms, at Florida State University, Georgia State University, Montgomery County Community College, and the University of Texas at Austin, January 30, 2019
(EAB): An interview with Lars Waldo, principal data scientist for the Student Success Collaborative; March 6, 2018
(Policy Paper from New America): Descriptions of cases where institutions are using predictive analytics to support students and steer them toward success, presented with ethical concerns related to the impact of using data on underrepresented students; October 24, 2016
Meta-Majors
(Complete College America): motivations for and results of college-completion programs that use methods including meta-majors, academic program maps, and intrusive advising
(EAB): how several institutions have implemented meta-major initiatives, and their impact on student success
Degree Maps
(CUNY): overview, curricular issues, campus processes, and technologies for implementing degree maps
Corequisite Courses
(Complete College America): corequisite courses increase gateway course completion within the first year, by providing extra help to students who need it
(CUNY): Information for creating non-credit support in math, reading, or English.
