Higher education data mining and analytics, like learning analytics, may improve learning experiences and outcomes. However, such practices are rife with student privacy concerns and other ethics issues. It is crucial that student privacy expectations and preferences are considered in the design of educational data analytics. This study forefronts…

Libraries remain one of the last places on campus where the purging of usage data is encouraged and "tracking" is a dirty word. While some libraries have demonstrated the usefulness of analytics, opponents bring up issues of privacy and debate the feasibility of student-generated library data for planning and assessment. Using a study…

Learning analytics involve the process of gathering data about students and using the information to intervene in their lives to improve learning and institutional outcomes. Many academic libraries now participate in learning analytics. However, such practices raise privacy and intellectual freedom issues due to sensitive data practices. But, few…

Activities using volunteered geographic information (VGI), geospatial data generated by nonprofessionals, provide an instructional approach that allows participants to work with big data--large, complex data sets--in a noncompetitive, cooperative environment. Research suggests that humanitarian mapping activities offer an effective means of…

This paper discusses a formal study conducted in 2001 at Brigham Young University to determine the value of the library to the university community. Methods used to collect data for the study included an e-mail survey, usage statistics, naturalistic observations, and interviews. Two years after the study, the authors wondered if the conclusions of…