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Applied Artificial Intelligence
An International Journal
Volume 32, 2018 - Issue 9-10
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Research Article

Prediction of Online Students Performance by Means of Genetic Programming

Rosa Leonor Ulloa-Cazareza Sistema de Universidad Virtual-Universidad de Guadalajara, Guadalajara, MéxicoCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3868-0166
ORCID Icon,
Cuauhtémoc López-Martínb Department of Information Systems - Universidad de Guadalajara, Zapopan, MéxicoORCID Iconhttps://orcid.org/0000-0001-6172-9899
ORCID Icon,
Alain Abranc Department of Software and Information Technologies Engineering, École de Technologie Supérieure-Université du Québec, Montréal, CanadaORCID Iconhttps://orcid.org/0000-0003-2670-9061
ORCID Icon &
Cornelio Yáñez-Márquezd Centro de Investigación en Computación - Instituto Politécnico Nacional, Ciudad de México, MéxicoORCID Iconhttps://orcid.org/0000-0002-6250-4728
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Pages 858-881 | Received 28 Nov 2017, Accepted 23 Jul 2018, Published online: 25 Sep 2018

Citations (9)

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Read on this site (1)

Yizhuo Zhou, Jin Zhao & Jianjun Zhang. (2023) Prediction of learners’ dropout in E-learning based on the unusual behaviors. Interactive Learning Environments 31:3, pages 1796-1820.
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Articles from other publishers (8)

Saba Batool, Junaid Rashid, Muhammad Wasif Nisar, Jungeun Kim, Hyuk-Yoon Kwon & Amir Hussain. (2022) Educational data mining to predict students' academic performance: A survey study. Education and Information Technologies 28:1, pages 905-971.
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Rosa Leonor Ulloa Cazarez. (2022) Accuracy comparison between statistical and computational classifiers applied for predicting student performance in online higher education. Education and Information Technologies.
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Ling-qing Chen, Mei-ting Wu, Li-fang Pan & Ru-bin Zheng. (2021) Grade Prediction in Blended Learning Using Multisource Data. Scientific Programming 2021, pages 1-15.
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Shu-Tong Xie, Zong-Bao He, Qiong Chen, Rong-Xin Chen, Qing-Zhao Kong & Cun-Ying Song. (2021) Predicting Learning Behavior Using Log Data in Blended Teaching. Scientific Programming 2021, pages 1-14.
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Shu-tong Xie, Qiong Chen, Kun-hong Liu, Qing-zhao Kong & Xiu-juan Cao. (2021) Learning Behavior Analysis Using Clustering and Evolutionary Error Correcting Output Code Algorithms in Small Private Online Courses. Scientific Programming 2021, pages 1-11.
Crossref
Nelishia Pillay. (2019) The impact of genetic programming in education. Genetic Programming and Evolvable Machines 21:1-2, pages 87-97.
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Ravinesh C. Deo, Zaher Mundher Yaseen, Nadhir Al-Ansari, Thong Nguyen-Huy, Trevor Ashley Mcpherson Langlands & Linda Galligan. (2020) Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses. IEEE Access 8, pages 136697-136724.
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Adane Tarekegn, Fulvio Ricceri, Giuseppe Costa, Elisa Ferracin & Mario Giacobini. 2020. Genetic Programming. Genetic Programming 228 243 .

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