过去一年中添加的文章,按日期排序

Predicting Student Performance Through Classroom Concentration: A Review on Machine Learning and Computer Vision Approaches

US Umar, ME Rana, VA Hameed - 2023 IEEE 21st Student …, 2023 - ieeexplore.ieee.org
210 天前 - … This review included the pertinent Educational Data Mining literature on identifying
dropouts and students at risk fromliterature review of studentperformance prediction using

[HTML][HTML] Predicting students' performance using machine learning algorithms and educational data mining (a case study of Shahed University)

M Salari, R Radfar, M Faghihi - Business Intelligence Management …, 2024 - ims.atu.ac.ir
210 天前 - … 3- Method This study follows the popular training data mining method CRISP.
The data collection of Nad educational system for bachelor's degree in non-medical fields of …

Hybrid models for knowledge tracing: A systematic literature review

A Zanellati, D Di Mitri, M Gabbrielli… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
214 天前 - … taneously, ie, the prediction of the student performance relies on the conjunction or
… of this study to school, academic, and training contexts that use LMS as a teaching support …

LEARNING ANALYTICS AND EDUCATIONAL DATA MINING IN INDONESIA: A LITERATURE REVIEW

S Jessica - ICERI2023 Proceedings, 2023 - library.iated.org
215 天前 - … This study takes the form of a literature review with a focus on mapping existing …
This dominance of building predictive models as the goal of the study is consistent with …

A Systematic Review on Predicting the Performance of Students in Higher Education in Offline Mode Using Machine Learning Techniques

Rahul, R Katarya - Wireless Personal Communications, 2023 - Springer
223 天前 - literature review based on machine learning approaches to improve student performance
… The techniques removed from the Educational Data Mining (EDM) regulation [1] have …

[PDF][PDF] A Visualized Bibliometric Analysis for Mapping Research Trends of Machine Learning in Academic Research

ZS Ibrahim, J Sultan, F Rifqiyah, H Retnawati - kims-imio.kz
224 天前 - … , which is in line with efforts to improve information processing through data mining
(… applied to predict students who are at high risk of dropping out of school. Therefore, …

[图书][B] … and Communication Technology in Technical and Vocational Education and Training for Sustainable and Equal Opportunity: Business Governance and …

RK Hamdan, A Hamdan, B Alareeni, R El Khoury - 2024 - Springer
274 天前 - … editor in the Strategic marketing journal and has edited numerous books in springer.
… relative performance of auditors’ going concern ‎opinions and statistical failure prediction

Predicting Factors Related to Student Performance Using Decision Tree Algorithm

M Karmagatri, D Kurnianingrum… - … on Cybernetics and …, 2023 - ieeexplore.ieee.org
278 天前 - … This study contributes to the existing literature by … By utilizing the right data mining
algorithms and techniques, educational … This research utilized one of the data mining tools, …

[PDF][PDF] Investigating the Performance of Feature Selection Methods in Classifying Student Success

ÖB Güre - International Journal of Education Technology and …, 2023 - ijetsar.com
282 天前 - … , in the context of Educational Data Mining (EDM). The … non-academic literature,
mother's educational level, and … in the current study to predict students' success. Yahdin et …

Predicting Academic Success of College Students Using Machine Learning Techniques

JH Guanin-Fajardo, J Guaña-Moya, J Casillas - Data, 2024 - mdpi.com
299 天前 - … of educational data mining techniques, to identify academically successful students
early … The rest of the paper is organized as follows: in Section 2, a literature review is carried …