Title: Empowering young learners: m-learning application with adaptive learning and CCI standards

Authors: S. Divyasri; M. Mohana; T.T. Dhivyaprabha; P. Subashini

Addresses: Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India ' Centre for Machine Learning and Intelligence, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India ' Centre for Machine Learning and Intelligence, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India ' Centre for Machine Learning and Intelligence, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India

Abstract: Mobile learning (m-learning) has become an essential component of education, particularly in the post-pandemic era. Many educational applications are available online, focusing on subjects like language, mathematics, and science. However, these apps often lack adaptive learning mechanisms and effective user design. This study aims to address these gaps by developing an m-learning application that adapts content dynamically based on students' prior knowledge. Using child-computer interaction (CCI) standards, the application ensures usability by focusing on effectiveness, efficiency, and ease of learning. The study involved 65 students aged 8 to 10, and the app's design was validated by five educational technology experts. Results showed that students found the app enjoyable and helpful for learning, particularly in their mother tongue. The adaptive and child-centric design significantly increased students' engagement and self-learning abilities, providing instruction in bilingual languages while customising the learning experience through adaptive approaches.

Keywords: adaptive learning; child-computer interaction; CCI; child-centric; learning style; mobile learning; young learners.

DOI: 10.1504/IJTEL.2025.149381

International Journal of Technology Enhanced Learning, 2025 Vol.17 No.4, pp.477 - 500

Received: 01 May 2024
Accepted: 21 Jul 2024

Published online: 28 Oct 2025 *

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