The main aim of the study is analyzing of pupils’ knowledge in mathematics by adaptive neuro fuzzy inference system (ANFIS) after implementation of distance learning application or e-learning (electronic learning). Since a large number of faculties and other institutions are increasingly using e-learning, it can be stated that for this purpose the Modular object-oriented dynamic learning environment (Moodle) learning management system (LMS) is mostly used. This paper deals with the analysis of distance learning and the application of Moodle LMS in higher education institutions, taking into account the impact of such education on the quality of teaching and the acquisition of knowledge by students, and the methods teachers use in Serbia. The ANFIS is used to determine which factors are the most important for pupils’ performance in mathematics. The results show that the main influence on the pupils’ performance is their prior knowledge. The prior knowledge is more effective when it is combined with education software in the lectures of mathematics in elementary school. In secondary school, the prior knowledge is more effective if it is combined with motivation for learning mathematics.

该研究的主要目的是在实施远程学习应用程序或电子学习（电子学习）后，通过自适应神经模糊推理系统（ANFIS）分析学生的数学知识。由于大量学院和其他机构越来越多地使用电子学习，因此可以说，为此目的，主要使用模块化面向对象动态学习环境 (Moodle) 学习管理系统 (LMS)。本文分析了远程学习和 Moodle LMS 在高等教育机构中的应用，考虑了此类教育对教学质量和学生知识获取的影响，以及塞尔维亚教师使用的方法。ANFIS 用于确定哪些因素对学生的数学表现最重要。结果表明，影响学生成绩的主要是他们的先验知识。先验知识在小学数学教学中与教育软件结合使用效果更佳。在中学，先验知识如果与学习数学的动机相结合，效果会更好。