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Leveraging Usage Data and User‐Driven Development to Extend the Use of Collections
2016
Where Do We Go From Here? Charleston Conference Proceedings 2015
unpublished
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
doi:10.5703/1288284316293
fatcat:xo7eelvtxvdizcv6krxv3xeqwe