Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data. The…

Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…

Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…

School districts occupy center stage in education reform in the U.S. They manage nearly all public funding and are frequently the locus of federal and state reform initiatives, e.g., instituting meaningful teacher evaluation systems. Financial compensation for district leaders is high, with many being paid more than the chief state school officers…

The USC School Performance Dashboard, now in its seventh year, draws on California school data from 2003-2012 to rate charter schools on academic and financial measures of performance. It also provides an accompanying interactive site at www.uscrossier.org/ceg/. Unlike other school databases, this one assigns values--high, medium, low--to the…

A major problem facing educators in the United States is how to determine when the nation's five million English language learners (ELL) are ready to exit language-learning programs, i.e. to be "reclassified" as fluent English proficient (R-FEP) and placed in mainstream classrooms without additional language support. No Child Left Behind…

In May of 2011, the "Los Angeles Times" published, for the second time, results of statistical studies examining the variation in teacher and school performance in the Los Angeles Unified School District, based on the California Standards Tests for math and English Language Arts (ELA). The studies use data from the seven academic years…

The students' performance in various types of problems dealing with the conservation of matter during chemical reactions has been investigated at different levels of schooling. The participants were 499 ninth grade (ages 14, 15 years) and 624 eleventh grade (ages 16, 17 years) Greek students. Data was collected using a written questionnaire…

Building intelligent course designing systems adaptable to the learners' needs is one of the key goals of research in e-learning. This goal is all the more crucial as gaining knowledge in an e-learning environment depends solely on computer mediated interaction within the learner group and among the learners and instructors. The patterns generated…

CSI-USC continues to make sense of what the California statewide data system provides. This fourth annual report gauges multiple measures of academic and financial performance, probing well beyond mere test scores. Ratings in familiar green, yellow, and red cover four areas: financial resources and investment, school quality, student performance…

In his 2011 State of the Union address, President Barack Obama declared that charter schools are a way to out-innovate and out-educate our competitors worldwide. The President believes that investment in education must be accompanied by reform, including the expansion of high-quality charter schools. President Obama has challenged states to lift…

On February 24, 2009, President Obama outlined his fiscal plan for the 2010 budget to a joint session of Congress. Stressing the importance of backing education, Obama vowed to "expand our commitment to charter schools" and "invest in innovation." Obama's plan for more effective charters includes increasing federal aid and…

This report, which is the second annual report on charter schools in California by the University of Southern California's (USC's) Center on Educational Governance, offers a unique view of charter school performance. Using both financial and academic data submitted by school districts to the state of California, this report looks well beyond test…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

The purpose of this research was to use a Tennessee high school as a research site to assess the impact of H. Gardner's Multiple Intelligences (MI) on students' academic successes in 10th grade English, social studies, mathematics, and science classes. The research used a two-part minimally intrusive data collection protocol. The student…