Because of their capacity to sift through large amounts of data, text mining and data mining are enabling higher education institutions to reveal valuable patterns in students' learning behaviours without having to resort to traditional survey methods. In an effort to uncover live video streaming (LVS) students' technology related-problems and to…

In this article, I present a critical discourse analysis (CDA) of two discourses in learning disabilities (LD)--the academic research literature on emotions of students labeled as LD and retrospective autobiographies from adults labeled as LD writing about their emotions as students. Drawing mainly on Foucaultian explanations of power, I…

Excessive college course withdrawals are costly to the student and the institution in terms of time to degree completion, available classroom space, and other resources. Although generally well quantified, detailed analysis of the reasons given by students for course withdrawal is less common. To address this, a text mining analysis was performed…

Survey data are widely used in higher education for purposes such as assessment and strategic planning. One of the most common ways of using surveys has been to assess student learning outcomes by means of proxy questions on a survey, assuming that students who engage in specific behaviors (called engagement) have learned more during college than…