Driven by the increased availability of Learning Management System data, this study explored its value and sought understanding of student behaviour through the information contained in activity level log data. Specifically, this study examined analytics data to understand students' engagement with online videos. Learning analytics data from the…

In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…

This study explored some practical issues for single-case researchers who rely on visual analysis of graphed data, but who also may consider supplemental use of promising statistical analysis techniques. The study sought to answer three major questions: (a) What is a typical range of effect sizes from these analytic techniques for data from…

The Community College Student Experiences Questionnaire (CCSEQ) is an instrument designed to determine how community college students spend their time and what quality of effort they put into learning. Specifically, the content of the questionnaire focuses on four elements: who students are and why they are at the college; how extensively and…

The Community College Student Experiences Questionnaire (CCSEQ) is designed to determine how community college students spend their time and the quality of effort that they put into the learning process. This updated manual describes elements of the CCSEQ and presents findings from 56 community colleges that have administered the questionnaire as…