Educational data mining increasingly leverages enrollment data for higher education applications. However, these data describe final end-of-semester course selections, not the often complex enrollment activities leading up to a finalized schedule. Fine-grain transaction data of student waitlist, add, and drop actions during academic semester…

This report is the support document accompanying "An analysis of 'micro-credentials' in VET," which examines subject-bundle enrolments in Australia's vocational education and training (VET) system in 2019. This support document is a technical discussion of how the raw data were extracted and transformed for analytical purposes and it…

Gaining insight into course choices holds significant value for universities, especially those who aim for flexibility in their programs and wish to adapt quickly to changing demands of the job market. However, little emphasis has been put on utilizing the large amount of educational data to understand these course choices. Here, we use network…

Academic advising is a time-consuming activity that takes a considerable effort in guiding students to improve student performance. Traditional advising systems depend greatly on the effort of the advisor to find the best selection of courses to improve student performance in the next semester. There is a need to know the associations and patterns…

Liberal Arts programs are often characterized by their open curriculum. Yet, the abundance of courses available and the highly personalized curriculum are often overwhelming for students who must select courses relevant to their academic interests and suitable to their academic background. This paper presents the course recommender system that we…

In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…

This research focuses on course-taking patterns of beginning community college students enrolled in one or more non-remedial science, technology, engineering, and mathematics (STEM) courses during their first year of college, and how these patterns are mapped against upward transfer in STEM fields of study. Drawing upon postsecondary transcript…

The purpose of this paper is to identify and explain the best practice of using "big data" reports to help distance learning administrators better understand their own programs and represent them to stakeholders. The authors examine five reports: (1) the number and percentage of graduates from the main campus who also take classes at the…

This article explores the challenges that students face in navigating the curricular structure of post-secondary degree programs, and how predictive analytics and choice architecture can play a role. It examines Degree Compass, a course recommendation system that successfully pairs current students with the courses that best fit their talents and…

Middle school is an important phase in the academic trajectory, which plays a major role in the path to successful post-secondary outcomes such as going to college. Despite this, research on factors leading to college-going choices do not yet utilize the extensive fine-grained data now becoming available on middle school learning and engagement.…

While engaged in academic reading, a university provost converged on an idea to use a preferential approach to students' selection of college courses, similar to the recommendation systems used by "Netflix" and "Amazon." The result of this idea came to be known as "Degree Compass" and was implemented on the campus of…

This article investigates the utility and availability of college data to evaluate the impact of high school interventions. It reports results of a pilot study that collected information about the college experiences of graduates from four high schools in the northeast United States. Using these results as a lens, the article examines what…

The first CSRC Research Report to examine the Latina/o education pipeline, "Falling through the Cracks: Critical Transitions in the Latina/o Educational Pipeline" (Pérez Huber et al. 2006), inaugurated a series of reports that have sought to address critical issues related to the Latina/o education pipeline and to provide policy…

"Science and Engineering Indicators" (SEI) is first and foremost a volume of record comprising high-quality quantitative data on the U.S. and international science and engineering enterprise. SEI includes an overview and seven chapters that follow a generally consistent pattern. The chapter titles are as follows: (1) Elementary and…

This research examines the effect of undergraduate course letter grades on future course selection and major choice. Using a Regression-Discontinuity design, we exploit the fact that the probability of earning a particular letter grade jumps discontinuously around letter grade cutoffs. This variation in letter grades allows us to isolate the…