Development of an Artificial Intelligence-Supported Mobile Learning Application

View at publisher
Authors: Songül Karabatak, Müslim Alanoğlu, Ayşenur Kuloğlu, Dilara Sucu
Cited by: 1
References: 12

Abstract

In this study, the design and development process of an artificial intelligence-supported mobile learning application developed within the scope of the research project titled “Design of an Instruction Supported by a Digital Assistant for Pre-service Teachers to Overcome Reality Shock and Investigation of its Effectiveness”, conducted under the TÜBİTAK 1001 program and numbered 323 K 013, is addressed. Within this scope, a mobile application was developed as a complementary component to the web-based educational platform, aiming to provide pre-service teachers with learning opportunities independent of time and place. The mobile application was structured to include module-based content delivery, media-supported learning materials, and artificial intelligence-supported digital assistant components. In the study, the architectural structure of the developed mobile application, its user interface and navigation design, as well as the integration of artificial intelligence components into the mobile environment, are explained in detail. The system development process has been completed, and it is planned to proceed to the experimental implementation and evaluation phase to test the effectiveness of the application on pre-service teachers' professional adaptation processes and reality shock.

Fields of Study & Subjects

Mobile Learning in Education Intelligent Tutoring Systems and Adaptive Learning Educational Games and Gamification

Publication details

Journal / source
2026 14th International Symposium on Digital Forensics and Security (ISDFS)
Publisher
IEEE
Pages
1–5
Publication date
19 March 2026