2014 PredictingStudentRisksthroughLo

• (Tamhane et al., 2014) ⇒ Ashay Tamhane, Shajith Ikbal, Bikram Sengupta, Mayuri Duggirala, and James Appleton. (2014). “Predicting Student Risks through Longitudinal Analysis.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623355

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Cited By

• http://scholar.google.com/scholar?q=%222014%22+Predicting+Student+Risks+through+Longitudinal+Analysis
• http://dl.acm.org/citation.cfm?id=2623330.2623355&preflayout=flat#citedby

Quotes

Author Keywords

• Analysis; education; education; longitudinal data; miscellaneous; prediction; risk

Abstract

Poor academic performance in K-12 is often a precursor to unsatisfactory educational outcomes such as dropout, which are associated with significant personal and social costs. Hence, it is important to be able to predict students at risk of poor performance, so that the right personalized intervention plans can be initiated. In this paper, we report on a large-scale study to identify students at risk of not meeting acceptable levels of performance in one state-level and one national standardized assessment in Grade 8 of a major US school district. An important highlight of our study is its scale - both in terms of the number of students included, the number of years and the number of features, which provide a very solid grounding to the research. We report on our experience with handling the scale and complexity of data, and on the relative performance of various machine learning techniques we used for building predictive models. Our results demonstrate that it is possible to predict students at-risk of poor assessment performance with a high degree of accuracy, and to do so well in advance. These insights can be used to pro-actively initiate personalized intervention programs and improve the chances of student success.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2014 PredictingStudentRisksthroughLo	Bikram Sengupta Ashay Tamhane Shajith Ikbal Mayuri Duggirala James Appleton			Predicting Student Risks through Longitudinal Analysis				10.1145/2623330.2623355		2014