Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students' academic achievement early using Educational Data Mining (EDM). This study aims to predict students' final grades and identify honorary students at…

Faculty teaching data analytics at undergraduate level are often faced with the tension created by student under-preparedness, the demands of the course, and time constraints. How do faculty close this gap? In this paper, we propose the use of flow diagramming as an accessible method for interpreting regression analyses, in ways that are time…

Across the nation, community colleges have expanded dual enrollment programs to increase college enrollment and completion, particularly among historically underserved populations. The California Community College system--the largest system in the nation--is no different and recently expanded its dual enrollment programming to include College and…

Though numerous studies have identified factors associated with academic misconduct, few have proposed conceptual models that could make sense of multiple factors. In this study, we used structural equation modeling (SEM) to test a conceptual model of five factors using data from a relatively large sample of 2,503 college students. The results…

These are the appendices to the report, "Using High School Data to Predict College Success in Palau" (ED610714). Prior research, particularly for the United States, has shown that earning a community college credential increases an individual's likelihood of gaining stable employment, earning a living wage, and working in a higher-paying…

Data-Driven Learning (DDL) is a method for learning languages that involves analyzing language usage trends and finding patterns in language data, utilizing technology and statistics. One of the key benefits of DDL is that it allows students to focus on the most relevant and useful language data for their needs. Data-driven learning is an…

The purpose of this phenomenological study was to describe the experience of "discontinued enrollment" for military veteran students at western Virginia community colleges. The theory guiding this study was Schlossberg's (1981) transition theory, as the military veteran students were in transition from the military to the community…

The last decade has witnessed a strong impact of emerging technologies on language pedagogy due to the developments in the computer technologies. The use of authentic linguistic examples through corpora and concordance based activities is defined as data-driven learning and it exposes the students to examples of more realistic language than…

In 2014, the close-knit education community in California's rural Humboldt county came together to address the potential to improve students' college readiness and completion. A diverse group of education leaders spanning K-12 through college formed the collaborative, with leadership from the Humboldt County Office of Education. The John W.…