Assessment with E-Textbook Analytics

Abstract

Higher education administrators and faculty are increasingly interested in determining how large amounts of student data in electronic systems can be used to promote student success. Whereas educational-technology applications are often adopted based on a set of criteria related to how well the application assists students or instructors, administrators now want to go further with educational technology and use these data to inform models that predict student outcomes. The purpose of this research bulletin is to provide concrete strategies, grounded in research with e-textbook analytics, on how to use data from interactive platforms to inform decisions about supporting student learning with educational technology. Given the very real difficulties of leveraging complex analytics data to increase student success, higher education administrators must decide whether similar actionable information can be obtained from more subjective measures, such as surveys and ethnographic methods, including focus groups and semistructured interviews.

Citation for this Work: Van Horne, Sam, Jae-eun Russell, and Kathy L Schuh. Assessment with E-Textbook Analytics. Research bulletin. Louisville, CO: ECAR, February 15, 2015. Available from http://www.educause.edu/ecar.  

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