Evaluating students' academic performance is crucial for assessing the quality of education
and educational strategies. However, it can be challenging to predict and evaluate …

In recent days, learners faced difficulties learning programming courses. This research study
will help the learners learn complex concepts quickly with different activities like flipped …

With the development of information and communication technology, project-based learning
(PBL) has become an important pedagogical approach. Group leaders are critical in PBL …

Artificial intelligence (AI) technologies continue to revolutionize various sectors, including
their incorporation into education, particularly in K-12 science education, which has become …

The current study aims to examine the effects of prospective chemistry teachers' chemistry
laboratory teaching experiences using different laboratory approaches on their …

Numerous artificial intelligence methods have lately been applied in education. This study
proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy …

In intelligent decision support, the integration of fuzzy logic systems with data classification
has emerged as a promising avenue. This cooperative approach seeks to enhance decision …

Abstract [eng] The study explores the application of data analytics and machine learning to
forecast academic outcomes, with the aim of ensuring effective and sustainable e-learning …

В статье представлены результаты апробации интеллектуальной системы
тестирования общеязыковых компетенций (ИСТОК), разработанной учёными …

Predicting students' performance in a course is one of the major aims of educational data
mining systems. In the present study, two and three-layer artificial neural networks (ANN) …