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[HTML][HTML] A New Method Based on Belief Rule Base with Balanced Accuracy and Interpretability for Student Achievement Prediction
Z Zhang, Q Deng, W He, C Yang - Mathematics, 2024 - mdpi.com
In the field of education, the accurate prediction of students' future performance is essential
for personalized instruction and efficient allocation of resources. Such predictions not only …
for personalized instruction and efficient allocation of resources. Such predictions not only …
Predicting Student Performance in a Programming Tutoring System Using AI and Filtering Techniques
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI)
methodologies over traditional statistical methods for predicting student performance in e …
methodologies over traditional statistical methods for predicting student performance in e …
Predicting Academic Performance of University Students Using Adaptive Neuro Fuzzy Inference System (ANFIS)-Subtractive Clustering Algorithm (ANFIS-SC): A Case …
In academic institutions, among the most important success criteria is students' academic
performance. However, one of the biggest challenges facing institutions has been the early …
performance. However, one of the biggest challenges facing institutions has been the early …
Fuzzification of Items of Media and Educational Materials and Tools
SS Musavian, A Taghizade, FZ Ahmadi… - Journal of Electrical and …, 2025 - jecei.sru.ac.ir
Background and Objectives: The purpose of this study is to propose a solution for using
large fuzzy sets in assessment tasks with a significant number of items, focusing on the …
large fuzzy sets in assessment tasks with a significant number of items, focusing on the …