Personalized Learning Based on Multimodal AI and Driven by Artificial Intelligence

In the rapidly developing wave of the Internet, artificial intelligence (AI) technology is affecting all walks of life, especially the education industry, which has had a profound impact, and many emerging teaching modes are continuously promoting education and teaching reform. This paper explores the impact of the future development trend of AI technology on personalized learning based on the real course teaching process in undergraduate colleges and universities. This paper integrates multi-dimensional data to carry out teaching practice in the professional foundation course Python Programming, comparing and analyzing students' test scores, classroom participation, independent learning time, use of learning resources, and students' interest level. This paper explores personalized learning under multimodal AI and artificial intelligence technology through the application research in the professional course of computer science students in undergraduate colleges and universities, and we hope that this practical research can promote the progress of education and teaching.

Authors

Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1145/3746469.3746491
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00
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Personalized Learning Based on Multimodal AI and Driven by Artificial Intelligence

Beibei Xu
Robotics and Automated Systems
article

Personalized Learning Based on Multimodal AI and Driven by Artificial Intelligence

Beibei Xu
article en

Abstract

In the rapidly developing wave of the Internet, artificial intelligence (AI) technology is affecting all walks of life, especially the education industry, which has had a profound impact, and many emerging teaching modes are continuously promoting education and teaching reform. This paper explores the impact of the future development trend of AI technology on personalized learning based on the real course teaching process in undergraduate colleges and universities. This paper integrates multi-dimensional data to carry out teaching practice in the professional foundation course Python Programming, comparing and analyzing students' test scores, classroom participation, independent learning time, use of learning resources, and students' interest level. This paper explores personalized learning under multimodal AI and artificial intelligence technology through the application research in the professional course of computer science students in undergraduate colleges and universities, and we hope that this practical research can promote the progress of education and teaching.

Openalex Percentile: Top 71%
Robotics and Automated Systems
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