competition at a higher level. Students are diverted towards doing higher courses offered by numerous institutes, universities … day. Various measures are taken by educators and stakeholders to reduce the intensity of failure of students. Educational … data mining is a new term coined in the sector of education to predict the performance of students in academics and to …

track students. However, there are concerns that the most frequently used college placement exams lack validity and … reliability, and unnecessarily place students from under-represented groups into remedial courses. While recent research has shown … that tracking can have positive effects on student learning, inaccurate placement has consequences: students face …

track students. However, there are concerns that the most frequently used college placement exams lack validity and … reliability, and unnecessarily place students from under-represented groups into remedial courses. While recent research has shown … that tracking can have positive effects on student learning, inaccurate placement has consequences: students face …

Value-added models (VAMs) are increasingly used to measure school effectiveness. Yet random variation in school … schools. In this paper, I use random assignment from a public school choice lottery to test the predictive power of VAM … specifications. In VAMs with minimal controls and two or more years of prior data, I fail to reject the hypothesis that school …

Value-added models (VAMs) are increasingly used to measure school effectiveness. Yet random variation in school … schools. In this paper, I use random assignment from a public school choice lottery to test the predictive power of VAM … specifications. In VAMs with minimal controls and two or more years of prior data, I fail to reject the hypothesis that school …