Abstract

Analysis of library usage data has become increasingly important in recent years, but how do we count and account for non-users? This paper will look at how, through the analysis of e-resource usage, book loans and gate entry figures, the University of Huddersfield has identified groups exhibiting low/non-usage behaviour. The results have then been linked to student attainment.

Highlights

  • The project described in this session was undertaken in two phases

  • Analysis of the results for the 15 short-listed courses revealed a correlation between e-resource use, book borrowing and student attainment. This appears to be the case across all disciplines, it should be noted that statistical significance tests have not yet been applied

  • Looking at the correlation in the bar chart it would be expected that Firsts would be found towards the top right and other degrees would tend towards the bottom left

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Summary

Introduction

The project described in this session was undertaken in two phases. Phase One focused on low/non-use of library resources, and Phase Two looked at the correlation between library use and final degree results. ■ The quality standard Customer Service Excellence to which the Library subscribes requires analysis of distinct customer groups. The Library had very little data on low/nonusers, and so identified this group as requiring investigation. ■ Data collected as part of an Equality Impact Assessment exercise brought to our attention the potential of matching data from different systems, in particular the student record system and the library management system. In Phase Two the focus was to provide evidence for the impact of library resources on learning outcomes, and to support elements of the new University Teaching and Learning Strategy

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