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[HTML][HTML] Predictive Models for Educational Purposes: A Systematic Review
This systematic literature review evaluates predictive models in education, focusing on their
role in forecasting student performance, identifying at-risk students, and personalising …
role in forecasting student performance, identifying at-risk students, and personalising …
The influence of E-iearning, M-learning, and D-learning on the student performance: Moderating role of institutional support
Student performance was affected due to the covid-19 pandemic; therefore, electronic (E),
mobile (M), and distance (D) learning are the significant solution for this issue and needs …
mobile (M), and distance (D) learning are the significant solution for this issue and needs …
[HTML][HTML] XGBoost to enhance learner performance prediction
The huge amount of data generated by an Intelligent Tutoring System becomes useful when
analyzed in an appropriate way to provide significant insights about learners, especially his …
analyzed in an appropriate way to provide significant insights about learners, especially his …
[PDF][PDF] A systematic literature review on student performance predictions
Prediction of student performance in educational institutions is a major topic of debate
among researchers in efforts to improve teaching and learning. Effective prediction …
among researchers in efforts to improve teaching and learning. Effective prediction …
[HTML][HTML] Artificial intelligence in higher education: A predictive model for academic performance
This research work evaluates the use of artificial intelligence and its impact on student's
academic performance at the University of Guayaquil (UG). The objective was to design and …
academic performance at the University of Guayaquil (UG). The objective was to design and …
Random Forest for rice yield map** and prediction using Sentinel-2 data with Google Earth Engine
Accurate information on crop yield prediction is essential for farmers, governments,
scientists, and agricultural agencies to make well-informed decisions. Majority of yield …
scientists, and agricultural agencies to make well-informed decisions. Majority of yield …
Pavement roughness prediction using explainable and supervised machine learning technique for long-term performance
Maintaining and rehabilitating pavement in a timely manner is essential for preserving or
improving its condition, with roughness being a critical factor. Accurate prediction of road …
improving its condition, with roughness being a critical factor. Accurate prediction of road …
[HTML][HTML] Real-time prediction of science student learning outcomes using machine learning classification of hemodynamics during virtual reality and online learning …
Current data sources used for the prediction of student outcomes average about 55%
accuracy and require a significant amount of input data and time for researchers and …
accuracy and require a significant amount of input data and time for researchers and …
[HTML][HTML] Data mining-based decision support system for educational decision makers: Extracting rules to enhance academic efficiency
The exponential growth of data in the field of education has created a pressing demand for a
robust system capable of analyzing this vast amount of information, empowering decision …
robust system capable of analyzing this vast amount of information, empowering decision …
Artificial intelligence in business education: Benefits and tools
Understanding the impact of artificial intelligence (AI) on education is vital for guiding
teachers in develo** educational tools. AI in education (AIEd) comes not only with …
teachers in develo** educational tools. AI in education (AIEd) comes not only with …