article · International Journal of Interactive Mobile Technologies (iJIM)
A mobile-optimised educational platform powered by artificial intelligence provides personalised, real-time learning support for university students. Built using large language models, vector search, and framework integration tools, the platform allows instructors to upload course content while enabling students to converse with an automated mentor directly within their mobile coursework. A comparative study evaluated the system with students at Mohammed VI Polytechnic University, contrasting users of the artificial intelligence tool against a control group without access. Students using the mobile platform demonstrated higher levels of engagement, improved subject comprehension, and superior academic achievement compared to their peers. Both educators and learners confirmed the mobile usability and instructional value of the system, indicating that tailored mobile learning tools can effectively strengthen educational outcomes in higher education.
Mobile devices are primary learning tools for many students, yet static digital materials often fail to meet individual learning needs. Equipping mobile platforms with real-time artificial intelligence guidance provides tailored assistance on demand. This approach helps students master complex subjects more effectively, showing how mobile technology can actively boost university academic performance.
This application is a mobile-first educational software system designed for university students and course instructors. Built using Langchain, Pinecone, and large language models, the tool has been implemented and tested in a real university setting with measurable academic gains. It represents an applied and tested technology that could be further adopted by higher education institutions seeking to integrate automated mentoring into mobile curricula.
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With the rise of mobile learning platforms, it has become increasingly evident that individuals require personalized experiences that are tailored to the strengths and limitations of mobile devices. The present study explores the significant impact that personalized mobile learning environments, powered by artificial intelligence (AI), could have. This study specifically evaluates the impact of an AI-driven personalized educational platform, designed for mobile devices, on the academic achievement and educational progress of students at Mohammed VI Polytechnic University. The platform, designed for mobile devices, allows instructors to easily upload information. Learners can interact with an AI mentor through a chat interface that is seamlessly integrated into their mobile course materials. The system, constructed using cutting-edge technologies such as Langchain, Pinecone, and the LLM Model, excels at providing personalized, real-time feedback and support for learners who are frequently mobile. This study compared two groups of students. One group had access to a mobile personalized learning platform powered by AI, whereas the control group did not have access to it. We conducted a comparative analysis of mobile educational experiences, levels of engagement, and academic outcomes across these groups. In addition, qualitative feedback was gathered from educators and students to evaluate the mobile usability and effectiveness of the system. The results of our study demonstrate that the AI-driven mobile-tailored learning system significantly improves the experience of mobile learners. The increased levels of engagement, improved understanding, and superior academic achievements support our claim. This study not only supports the potential of AI-driven personalized mobile learning in higher education but also emphasizes the importance of continuous innovation to improve its usefulness and effectiveness.
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DOI: 10.3991/ijim.v18i04.46547
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