A geometric distributed probabilistic model to predict graduation rates

Ahmad Slim; Gregory L. Heileman; Michael Hickman; Chaouki T. Abdallah

doi:10.1109/UIC-ATC.2017.8397646

A geometric distributed probabilistic model to predict graduation rates

Ahmad Slim
, Gregory L. Heileman
, Michael Hickman
, Chaouki T. Abdallah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Scopus citations

Abstract

We present a new probabilistic model to predict the graduation rates of universities. For this purpose this model uses the geometric distribution augmented with item response theory. In particular it uses four main variables for prediction: high school GPA, ACT/SAT score, course difficulty and curriculum complexity. The records of 10,479 students from the University of New Mexico (UNM) were used to train the model. The results presented in this paper show the type of correlation between these variables and graduation rates. They also show the prediction accuracy of our proposed model.

Original language	English (US)
Title of host publication	2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-8
Number of pages	8
ISBN (Electronic)	9781538604342
DOIs	https://doi.org/10.1109/UIC-ATC.2017.8397646
State	Published - Jun 26 2018
Externally published	Yes
Event	2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - San Francisco, United States Duration: Apr 4 2017 → Apr 8 2017

Publication series

Name	2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings

Conference

Conference	2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Country/Territory	United States
City	San Francisco
Period	4/4/17 → 4/8/17

Keywords

Geometric distribution
curriculum complexity
data analytics
data mining
education
graduation rate
item response theory

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management
Energy Engineering and Power Technology
Safety, Risk, Reliability and Quality
Urban Studies

Access to Document

10.1109/UIC-ATC.2017.8397646

Cite this

Slim, A., Heileman, G. L., Hickman, M., & Abdallah, C. T. (2018). A geometric distributed probabilistic model to predict graduation rates. In 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings (pp. 1-8). (2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UIC-ATC.2017.8397646

A geometric distributed probabilistic model to predict graduation rates. / Slim, Ahmad; Heileman, Gregory L.; Hickman, Michael et al.
2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-8 (2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Slim, A, Heileman, GL, Hickman, M & Abdallah, CT 2018, A geometric distributed probabilistic model to predict graduation rates. in 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings. 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1-8, 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017, San Francisco, United States, 4/4/17. https://doi.org/10.1109/UIC-ATC.2017.8397646

Slim A, Heileman GL, Hickman M, Abdallah CT. A geometric distributed probabilistic model to predict graduation rates. In 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-8. (2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings). doi: 10.1109/UIC-ATC.2017.8397646

Slim, Ahmad ; Heileman, Gregory L. ; Hickman, Michael et al. / A geometric distributed probabilistic model to predict graduation rates. 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-8 (2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings).

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A geometric distributed probabilistic model to predict graduation rates

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Keywords

ASJC Scopus subject areas

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