Abstract
In 2014, the JSTOR Labs team used an algorithm to identify more than 9,000 articles on JSTOR that exhibited patterns of use consistent with being used in the classroom or assigned as coursework. Using a low‐cost rapid development approach called “flash builds,” the team validated and built a prototype browser for this dataset with the direct involvement of teachers at the secondary and introductory college levels. This dataset is now available as “Classroom Readings,” a free and open experimental resource. Classroom Readings (http://labs.jstor.org/readings) is designed to help educators find articles on JSTOR that are good candidates for teaching, adding value to the investments libraries have made in JSTOR collections.
Leveraging Usage Data and User‐Driven Development to Extend the Use of Collections
In 2014, the JSTOR Labs team used an algorithm to identify more than 9,000 articles on JSTOR that exhibited patterns of use consistent with being used in the classroom or assigned as coursework. Using a low‐cost rapid development approach called “flash builds,” the team validated and built a prototype browser for this dataset with the direct involvement of teachers at the secondary and introductory college levels. This dataset is now available as “Classroom Readings,” a free and open experimental resource. Classroom Readings (http://labs.jstor.org/readings) is designed to help educators find articles on JSTOR that are good candidates for teaching, adding value to the investments libraries have made in JSTOR collections.