The use of fuzzy logic to assess students' knowledge is not a completely new concept.
However, despite dealing with a large quantity of data, traditional statistical methods have …

Although the idea of evaluating students' mathematical knowledge with fuzzy logic is not
new in the literature, few studies have explored the possibility of assessing students' …

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

Assessing student mathematical knowledge is an important factor in the mathematics
learning process because students obtain important feedback to improve their knowledge …

Purpose The research purpose had been to investigate the dominant factors that influenced
the success of the development of entrepreneurship courses in cultivating entrepreneurial …

Several factors affect students' mathematics grades and standardized test results. These
include the gender of the students, their socio-economic status, the type of school they …

The shift from elite education to mass education in Vietnam has met the demand for
education for everybody as well as for quality human resource talent for an emerging nation …

Due to the COVID-19 situation, all activities, including education, were shifted to online
platforms. Consequently, instructors encountered increased challenges in evaluating …

The authors implemented a fuzzy logic technique to develop a mobile based decision
support tool called Generalized STEM-College Aptitude Test (GSTEM-CAT). It is an …

This study applies two artificial intelligence methods represented by both the neural network
and fuzzy logic to predict student achievement in the exam. The dataset used in this study …