Research on the Application of Intelligent Algorithms in the Study of Theory Courses
Geling Zhou
Journal of E-Technology, Vol. 16, No. 2, 2025.
DOI: https://doi.org/10.6025/jet/2025/16/2/56-63
Link: https://www.dline.info/jet/fulltext/v16n2/jetv16n2_2.pdf
Abstract:
This paper investigates how intelligent algorithms can improve the probability of learning acceptance in theory
courses. The application of smart algorithms in education is becoming increasingly widespread. This research
covers the principles and applications of intelligent algorithms and measurement methods for learning
acceptance probability. Through experiments and data analysis, we conclude that intelligent algorithms
positively impact the likelihood of learning acceptance, enhancing student engagement and effectiveness.
Furthermore, we also identify trends and patterns in the changes of learning acceptance probability, which
provides important insights for future teaching. As we advance, we suggest further research and optimization
of intelligent algorithms to meet the needs of teaching better and give the students more personalized and
efficient learning experiences.