Corrigendum: Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis

, , , , &
Frontiers in Psychology 12 (2022)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.3389/fpsyg.2021.842357

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 93,127

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis.Yupei Zhang, Yue Yun, Rui An, Jiaqi Cui, Huan Dai & Xuequn Shang - 2021 - Frontiers in Psychology 12.
An Exploration of Factors Linked to Academic Performance in PISA 2018 Through Data Mining Techniques.Adriana Gamazo & Fernando Martínez-Abad - 2020 - Frontiers in Psychology 11.
Student Performance Prediction with Optimum Multilabel Ensemble Model.Abrahaley Teklay Haile & Ephrem Admasu Yekun - 2021 - Journal of Intelligent Systems 30 (1):511-523.
Data Mining Techniques in Analyzing Process Data: A Didactic.Xin Qiao & Hong Jiao - 2018 - Frontiers in Psychology 9.
An approach method to predict students’ exam performance using clustering methods with prediction model.Shallaw Mohammed Ali & Noor Jasim Mohammed - unknown
Identification of Factors Associated With School Effectiveness With Data Mining Techniques: Testing a New Approach.Fernando Martínez-Abad - 2019 - Frontiers in Psychology 10.
Distribution of Large-Scale English Test Scores Based on Data Mining.Na Chu & Wanzhi Ma - 2021 - Complexity 2021:1-10.
Corrigendum: Inhibitory Control in Speech Comprehension among Dai–Han Bilingual Children.Yun Tao, Zhi Liu, Tobias Tempel, Rui Chen, Xie Ma, Xiaoxi Wang, Yan Liu & Yongxia Qu - 2017 - Frontiers in Psychology 8.
RAINFALL DETECTION USING DEEP LEARNING TECHNIQUE.M. Arul Selvan & S. Miruna Joe Amali - 2024 - Journal of Science Technology and Research 5 (1):37-42.
An Extensive Review on Data Mining Methods and Clustering Models for Intelligent Transportation System.Sesham Anand, P. Padmanabham, A. Govardhan & Rajesh H. Kulkarni - 2018 - Journal of Intelligent Systems 27 (2):263-273.

Analytics

Added to PP
2022-04-08

Downloads
9 (#1,281,906)

6 months
6 (#587,658)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references