Data mining techniques for predicting teacher evaluation in higher education: A systematic literature review-Reference-Cited by-同舟云学术

Data mining techniques for predicting teacher evaluation in higher education: A systematic literature review

Published:2023-03 Issue:3 Volume:9 Page:e13939
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Ordoñez-Avila Ricardo,Salgado Reyes Nelson^ORCID,Meza Jaime,Ventura Sebastián

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference61 articles.

1. University teacher evaluation and professional development: a review based on participants, dimensions and methods;Suárez Monzón;Publicaciones,2022

2. Comparison of learning analytics and educational data mining: a topic modeling approach;Lemay;Comput. Educ. Artif. Intell.,2021

3. Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules;Luna;Knowl. Inf. Syst.,2012

4. Modeling of performance evaluation of educational information based on big data deep learning and cloud platform;Ye;J. Intell. Fuzzy Syst.,2020

5. Experiences in mining educational data to analyze teacher’s performance: a case study with high educational teachers;Al-Masri;Int. J. Hybrid Inf. Technol.,2017

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2. An Approach to Identifying Suspicious Student Activities During Online Programming Training Based on One-Class Classifiers;2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA);2023-11-08

3. Anomaly Detection in Student Activity in Solving Unique Programming Exercises: Motivated Students against Suspicious Ones;Data;2023-08-08

4. Extended Fuzzy-Based Models of Production Data Analysis within AI-Based Industry 4.0 Paradigm;Applied Sciences;2023-05-24

5. Investigating Students’ Pre-University Admission Requirements and Their Correlation with Academic Performance for Medical Students: An Educational Data Mining Approach;Brain Sciences;2023-03-08