AbstractThis article examines a required undergraduate empirical methods course in writing, rhetoric, and literacy to assess how well it introduces humanities students to empirical research methods. The common curriculum contains a commitment to affordable learning as well as to making students agents of their own learning. Student work artifacts, pre- and post-course surveys, and course evaluations were collected and analyzed to examine the impact of the course on student understanding of and engagement in undergraduate research. Initial results indicate that students are gaining skills that will enable them to function as researchers going forward.

This article provides an overview of the ways in which data and text mining have potentialas research methodologies in composition studies. It introduces data mining in thecontext of the field of composition studies and discusses ways in which this methodologycan complement and extend our existing research practices by blending the best of whattechnology and researchers have to offer. The authors examine a process model for datamining, discuss benefits and liabilities, and link to increased calls for accountability.

Discusses how adding a greater technological element into the composing and distribution of dissertations forces educators to consider multiple issues, some new and some that are only brought to the forefront because this electronically assisted or integrated process will make previously tacit behaviors on the part of both students and faculty explicit.