Journal of E-Technology Geling Zhou 16 2 2025 https://doi.org/10.6025/jet/2025/16/2/56-63 https://www.dline.info/jet/fulltext/v16n2/jetv16n2_2.pdf 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.