Current Issue: June 2018
Feature
Dowling, Wright, and Bailey
Academic collaboration for experiential learning
Perspectives on using archival collections and information literacy in history education
Abigail P. Dowling designed a second-year lower-division course at Mercer University in Ancient Mediterranean Civilizations for fall 2017 geared towards ...
Feature
Kai Alexis Smith
Popular culture as a tool for critical information literacy and social justice education
Hip hop and Get Out on campus
We live in a politically polarizing climate and at a time when there is great economic and social unrest in the United States. Our current moment brings to my mind other periods ...
Feature
Ornat and Moorefield
Process mapping as an academic library tool
Five steps to improve your workflow
The academic library is a complex organization whose staff executes numerous processes each day to deliver materials and services in a timely manner to patrons. A process where tasks, information, or documents are passed from one participant to the next is called a workflow. Libraries use workflows to coordinate tasks between people and departments and create an efficient progress of work. Interlibrary loan shipping, electronic serials acquisition, damaged item repairing, and reference desk referrals are just some of the hundreds of workflows within the academic library. When diagrammed, these workflows provide valuable information in visual form ...
Feature
Mross and Riehman-Murphy
A place to study, a place to pray
Supporting student spiritual needs in academic libraries
Have you stumbled across a student using a tucked-away space in your library to pray? Maybe library staff have seen students ...
Scholarly Communication
Thomas G. Padilla
Collections as data
Implications for enclosure
In recent years a growing amount of interest has been dedicated to collections as data. A collections as data paradigm seeks to foster an expanded set of research, pedagogical, and artistic potential predicated on the computational use of cultural heritage collections. Collections as data raises the question of what it might mean to treat digitized and born digital collections as data rather than simple surrogates of physical objects or static representations of digital experience. ...
Examples of work pursuing this question are growing. Project AIDA uses machine learning to identify and subset poetry from the pages of nearly 200 years of digitized historic newspapers.