Author(s)

QiuFang Zhang^*, YuXin Xie

Affiliation(s)

School of Law, Zhongyuan University of Technology, Zhengzhou, 450001, Hennan Province, China.

Corresponding Author

QiuFang Zhang

ABSTRACT

Personalized learning based on artificial intelligence is an instructional model within intelligent educational systems. It involves recognizing factors such as students' learning progress, interests, learning styles, and cognitive abilities. This model tailors teaching strategies and resources according to individual differences and special needs, aiming to stimulate students' interest and motivation, fostering a more proactive and engaged learning experience. Simultaneously, it enables real-time understanding of students' situations for teachers to provide targeted guidance, enhancing teaching effectiveness. AI-based personalized learning can be assessed across multiple dimensions, including academic performance, knowledge improvement, and changes in students' learning attitudes and motivations. It not only offers students a personalized learning experience but also encourages a deeper understanding and mastery of acquired knowledge. Thus, AI-based personalized learning holds significant importance in improving the quality of education.

KEYWORDS

Artificial Intelligence; Personalized Learning; Impact Analysis

CITE THIS PAPER

Qiufang Zhang, Yuxin Xie. Analysis of the application and impact of personalized learning based on artificial intelligence in education. World Journal of Educational Studies. 2024, 2(1): 16-21. DOI: 10.61784/wjes240201.

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