Application Of Mobile Learning Based On Artificial Intelligence In Student Open Teaching Strategy

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Published: Apr 30, 2025

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Xiangjun Zhang
College of Teacher Education, Jining University, Qufu 273155, Shandong, China
Panpan Wang
Department of economic management, Jining Polytechnic, Jining 272037, Shandong, China
Wei Guo*
Department of Science, Technology, and Reform Development, Jining Polytechnic, Jining 272037, Shandong, China

Abstract

Mobile learning has become a crucial component of modern teaching strategies, offering flexibility, accessibility, and personalized learning experiences. By integrating artificial intelligence (AI) with mobile learning, educators can enhance student engagement, improve content retention, and facilitate adaptive learning paths. AI-powered mobile learning platforms provide personalized recommendations, real-time feedback, and gamification elements to make learning more interactive and effective. Additionally, features such as collaborative learning, AI-moderated discussions, and secure authentication mechanisms ensure a seamless and secure learning environment. In this paper analyzed the impact of OTP-HML-AI (One-Time Password Hashing Mobile Learning with AI) on teaching strategies, student engagement, learning retention, and security in mobile-based education. The research analyzes student performance before and after the implementation of AI-powered teaching strategies, demonstrating significant improvements across key metrics. Student engagement increased from 60% to 85% (+25%), learning retention improved from 55% to 80% (+25%), and average assessment scores rose from 65% to 83% (+18%). AI-driven content recommendations were highly effective, with usage increasing from 40% to 88% (+48%), while real-time feedback improved learning efficiency by 40%. Additionally, collaborative learning participation grew from 52% to 70% (+18%), highlighting AI’s role in fostering teamwork and peer interactions. The implementation of secure OTP authentication ensured 100% success in login attempts, reducing failed login attempts from 12% to 3% (-9%) and unauthorized access attempts from 8% to 1% (-7%), while student satisfaction with security increased from 60% to 95% (+35%). Among various AI-powered teaching methodologies, AI-personalized learning achieved a 90% engagement rate, AI-based content recommendations 88%, and real-time AI feedback 85%, proving the effectiveness of adaptive and data-driven learning approaches.

Article Details

Issue
Vol. 167 No. A2 (S) (2025): Technologies and Their Effects on Real-Time Social Development
Section
Articles

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