Add to ORKGIn this research we work with local educators to develop and assess predictive data dashboards that can be used to help increase student success in high school and college. Starting with longitudinal data from previous academic years, we develop predictive models that can reliably determine student archetypes. With the help of local teachers, in-school counselors, and administrators we built dashboards that leveraged current school student data to point educators towards interventions that are most pertinent to specific students
Modern technology is necessary and important for improving the quality of education. While machine l...
The need to educate a competitive workforce is a global problem. In the US, for example, despite bil...
Our goal is to predict whether a student will finish the semester on academic probation by mid-term ...
The purpose of this study was to use Artificial Intelligence (AI) data mining methodologies to deter...
A supply of individuals trained in STEM is needed to meet the employment needs of the United States....
Never before in the history of public education in the United States have schools been held to the l...
Educational data mining is an emerging interdisciplinary research area involving both education and ...
Abstract: In recent years, the biggest challenges that educational institutions are facing the expl...
Every educational institution generates a large amount of data related to the registered students....
This project examines the effectiveness of applying machine learning techniques to the realm of coll...
In this paper, we present an analysis of the predictive ability of machine learning on the success o...
The need to educate a competitive workforce is a global problem. In the US, for example, despite bil...
In response to the high school dropout crisis, which comes with great economic and social costs, ear...
Educational Data Mining is used to study the data available in the Universities, Higher Educational ...
The tremendous growth in educational data forms the need to have meaningful information produced fro...
Modern technology is necessary and important for improving the quality of education. While machine l...
The need to educate a competitive workforce is a global problem. In the US, for example, despite bil...
Our goal is to predict whether a student will finish the semester on academic probation by mid-term ...
The purpose of this study was to use Artificial Intelligence (AI) data mining methodologies to deter...
A supply of individuals trained in STEM is needed to meet the employment needs of the United States....
Never before in the history of public education in the United States have schools been held to the l...
Educational data mining is an emerging interdisciplinary research area involving both education and ...
Abstract: In recent years, the biggest challenges that educational institutions are facing the expl...
Every educational institution generates a large amount of data related to the registered students....
This project examines the effectiveness of applying machine learning techniques to the realm of coll...
In this paper, we present an analysis of the predictive ability of machine learning on the success o...
The need to educate a competitive workforce is a global problem. In the US, for example, despite bil...
In response to the high school dropout crisis, which comes with great economic and social costs, ear...
Educational Data Mining is used to study the data available in the Universities, Higher Educational ...
The tremendous growth in educational data forms the need to have meaningful information produced fro...
Modern technology is necessary and important for improving the quality of education. While machine l...
The need to educate a competitive workforce is a global problem. In the US, for example, despite bil...
Our goal is to predict whether a student will finish the semester on academic probation by mid-term ...