Use educational data mining to predict undergraduate retention

Steven Lehr; Hong Liu; Sean Klinglesmith; Alex Konyha; Natalia Robaszewska; Jacob Medinilla

doi:10.1109/ICALT.2016.138

Use educational data mining to predict undergraduate retention

Steven Lehr, Hong Liu, Sean Klinglesmith, Alex Konyha, Natalia Robaszewska, Jacob Medinilla

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

Original language	English
Title of host publication	Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016
Editors	J. Michael Spector, Chin-Chung Tsai, Ronghuai Huang, Paul Resta, Demetrios G Sampson, Kinshuk, Nian-Shing Chen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	428-430
Number of pages	3
ISBN (Electronic)	9781467390415
DOIs	https://doi.org/10.1109/ICALT.2016.138
State	Published - Nov 28 2016
Externally published	Yes
Event	16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016 - Austin, United States Duration: Jul 25 2016 → Jul 28 2016

Publication series

Name	Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016

Conference

Conference	16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016
Country/Territory	United States
City	Austin
Period	7/25/16 → 7/28/16

ASJC Scopus Subject Areas

Human-Computer Interaction
Education
Computer Networks and Communications
Computer Science Applications

Keywords

Educational data mining
Feature selection
Model validation
Student retention

Access to Document

10.1109/ICALT.2016.138

Cite this

Lehr, S., Liu, H., Klinglesmith, S., Konyha, A., Robaszewska, N., & Medinilla, J. (2016). Use educational data mining to predict undergraduate retention. In J. M. Spector, C.-C. Tsai, R. Huang, P. Resta, D. G. Sampson, Kinshuk, & N.-S. Chen (Eds.), Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016 (pp. 428-430). Article 7757015 (Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT.2016.138

Use educational data mining to predict undergraduate retention. / Lehr, Steven; Liu, Hong; Klinglesmith, Sean et al.
Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016. ed. / J. Michael Spector; Chin-Chung Tsai; Ronghuai Huang; Paul Resta; Demetrios G Sampson; Kinshuk; Nian-Shing Chen. Institute of Electrical and Electronics Engineers Inc., 2016. p. 428-430 7757015 (Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016).

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

Lehr, S, Liu, H, Klinglesmith, S, Konyha, A, Robaszewska, N & Medinilla, J 2016, Use educational data mining to predict undergraduate retention. in JM Spector, C-C Tsai, R Huang, P Resta, DG Sampson, Kinshuk & N-S Chen (eds), Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016., 7757015, Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016, Institute of Electrical and Electronics Engineers Inc., pp. 428-430, 16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016, Austin, United States, 7/25/16. https://doi.org/10.1109/ICALT.2016.138

Lehr S, Liu H, Klinglesmith S, Konyha A, Robaszewska N, Medinilla J. Use educational data mining to predict undergraduate retention. In Spector JM, Tsai CC, Huang R, Resta P, Sampson DG, Kinshuk, Chen NS, editors, Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 428-430. 7757015. (Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016). doi: 10.1109/ICALT.2016.138

Lehr, Steven ; Liu, Hong ; Klinglesmith, Sean et al. / Use educational data mining to predict undergraduate retention. Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016. editor / J. Michael Spector ; Chin-Chung Tsai ; Ronghuai Huang ; Paul Resta ; Demetrios G Sampson ; Kinshuk ; Nian-Shing Chen. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 428-430 (Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016).

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author = "Steven Lehr and Hong Liu and Sean Klinglesmith and Alex Konyha and Natalia Robaszewska and Jacob Medinilla",

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Use educational data mining to predict undergraduate retention

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

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