Education Commons^™

Using Admissions Data To Create A First-Semester Academic Success Model, David James Byrnes Jr.

Boise State University Theses and Dissertations

Higher education is attracting more students from diverse background especially at public community colleges. These institutions can help these students attain a quality education at a reasonable price. Unfortunately, community colleges have lower graduation rates than 4-year institutions in part due to the diverse needs and variety in academic preparedness amongst their populations. It can be difficult to identify students most at risk of performing poorly until it is too late. There are multiple ways to predict students’ performance. In this study, three common data mining techniques are compared for their accuracy in predicting academic success using only data collected …

Ideological Misalignment In The Discourse(S) Of Higher Education: Comparing University Mission Statements With Texts From Commercial Learning Analytics Providers, Leif A. Nelson

Boise State University Theses and Dissertations

This study analyzes, interprets, and compares texts from different educational discourses. Using the Critical Discourse Analysis method, I reveal how texts from university mission statements and from commercial learning analytics providers communicate and construct different ideologies. To support this analysis, I explore literature strands related to public higher education in America and the emerging field of study and practice called learning analytics. Learning analytics is the administrative, research, and instructional use of large sets of digital data that are associated with and generated by students. The data in question may be generated by incidental online activity, and it may be …

Using Learning Analytics To Predict Academic Success In Online And Face-To-Face Learning Environments, Lisa Janine Berry

Boise State University Theses and Dissertations

This learning analytics study looked at the various student characteristics of all on-campus students who were enrolled in 100 and 200 level courses that were offered in both online and face-to-face formats during a two-year period. There is a perception that online education is either not as successful as face-to-face instruction, or it is more difficult for students. The results of this study show this is not the case.

The goal of this study was to complete an in-depth analysis of student profiles addressing a variety of demographic categories as well as several academic and course related variables to reveal …